Location : This is a remote role, offering the flexibility to work virtually from anywhere within the UK. Contract Type : Permanent The Opportunity Reporting directly to the Head of Customer Management Platforms and working under the day-to-day technical leadership and direction of the Principal Engineer, this role is responsible for enabling secure, reliable and scalable movement of data between customer management platforms, enterprise systems and analytical platforms. The role supports the technical delivery, operation and continuous improvement of integration capabilities across the Customer Management Platforms estate, ensuring consistent engineering standards, architectural alignment and operational excellence. What You Will Be Doing Integration Engineering &amp; Data Management <ul><li>Design, build and support integrations across Customer Management Platforms and enterprise applications.</li><li>Develop API, event-driven and batch integration solutions using Informatica CDI/CAI and approved architectural patterns.</li><li>Support data movement, transformation and synchronisation across Salesforce, Treasure Data, Informatica Customer 360, Snowflake, SAP and related platforms.</li><li>Implement reusable integration standards and ensure data flows are reliable, scalable and secure.</li><li>Support onboarding of new data sources and downstream consumers. </li></ul>Platform Operations &amp; Support <ul><li>Monitor and support production integration services and data pipelines.</li><li>Implement proactive monitoring, alerting and operational dashboards.</li><li>Troubleshoot integration issues, perform root cause analysis and support incident and problem management activities. </li></ul>Technical &amp; Engineering Excellence <ul><li>Collaborate with the Principal Engineer to align with platform architecture, technical standards and engineering best practices.</li><li>Contribute to technical design, platform roadmaps and continuous improvement initiatives.</li><li>Maintain technical documentation, testing, automation and CI/CD practices.</li><li>Ensure compliance with security, audit and data governance requirements. </li></ul>What You&#x2019;ll Bring <ul><li>Advanced SQL expertise with 5+ years&apos; experience in Data Engineering or Integration Engineering.</li><li>Strong hands-on experience with Informatica Cloud Data Integration (CDI), Cloud Application Integration (CAI) and ETL/ELT development.</li><li>Proven experience designing, building and supporting enterprise data integrations.</li><li>Experience integrating cloud platforms, enterprise applications and data services.</li><li>Snowflake data engineering experience.</li><li>REST API development and integration experience.</li><li>Strong understanding of event-driven integration and system-to-system connectivity.</li><li> Data modelling and data quality principles. </li><li> CI/CD, DevOps, monitoring, observability and operational support practices. </li><li> Agile delivery experience. </li><li> Strong analytical, problem-solving and stakeholder management skills. </li><li> Experience working across multiple teams, suppliers and technology platforms. </li><li> Understanding of data privacy, security and compliance requirements. </li></ul>Additional Desirable Skills <ul><li>Salesforce ecosystem (Sales Cloud, Service Cloud, Revenue Cloud, CPQ)</li><li>Customer Data Platforms (Treasure Data) and Customer Engagement Platforms</li><li>Informatica Customer 360, Business 360 and Data Quality</li><li>MuleSoft, SAP and Databricks</li><li>Master Data Management (MDM) and Pricing Solutions (Pricefx) </li></ul>We Are RS At RS, we are making amazing happen for a better world. As a global product and service solutions provider, we help industrial customers operate more efficiently and sustainably. Operating in 33 markets, we support around one million customers worldwide with more than 875,000 stocked products, access to over five million additional products, and a range of service solutions designed to help businesses thrive. What sets us apart is our people. More than 8,500 colleagues around the world bring technical expertise, digital innovation, and a customer first mindset to everything we do. Guided by our values &#x2013; we are one team, we deliver brilliantly, we do the right thing, and we make every day better, we&apos;re creating an environment where our people can grow, contribute and make a meaningful impact. Join us and help make amazing happen. Rewards Our Reward Strategy Philosophy is designed to offer market competitive base salaries and provide all of our people the opportunity to participate in a short-term incentive, enabling them to share in the success of the Company. Our total reward package is more than just the cash; our recognition and benefit offering provide the opportunity for us to recognise, reward and enable the wellbeing of our people at all stages of their journey with RS. Our rewards and benefits vary by country, but include: <ul><li>Financial - pension/retirement; life assurance; salary finance (payroll deduction loan scheme) </li><li>Wellbeing - medical plans; health screening; critical illness; disability insurance; holiday / paid time off; employee assistance programme; discounted gym/health club membership </li><li>Lifestyle - transportation assistance schemes (e.g., cycle to work, travel loans, car leasing); onsite catering/lunch vouchers; retail discounts </li><li>Spotlight &#x2013; our global recognition programme provides a platform to highlight and recognise people role modelling our values </li></ul>Ready to Make Amazing Happen? Join over 8,500 colleagues and help us shape the future of our industry. Whoever you are, wherever you are &#x2014; it all starts here. Apply now and make RS a part of your journey.

Developer - CDI

Job Title: Senior Data EngineerLocation: UK (Hybrid/Remote)Salary: &#xA3;60,000 - &#xA3;70,000 per annum + BenefitsOur professional services customer is embarking on an exciting digital transformation. Having recently designed and built a modern data platform with an external delivery partner, now ready to transition to full internal ownership. As such they seek a hands-on Senior Data Engineer to take technical ownership of this ecosystem, driving BAU, development, and future scaling. The RoleAs Senior Data Engineer, you will bridge the gap between external implementation consultancy and our internal business users. Initially, you will work closely with external partners to manage a seamless knowledge transfer. Post-transition, you will assume full responsibility for operating, supporting, and evolving the data platform.This is a highly collaborative, technical role where you will manage everything from data ingestion and pipeline orchestration to back-end database development and dimensional modelling. Key Responsibilities<ul><li>Technical Ownership: Take the reins of the newly implemented data platform, ensuring smooth production support, monitoring, security, and data reconciliation.</li><li>Data Pipeline Architecture Development: Operate and develop robust data ingestion pipelines, SQL-based transformations, and complex business logic.</li><li>Data Warehousing: Design, maintain, and optimise data warehouse structures, data cubes, and dimensional models to support business intelligence.</li><li>Collaboration &amp; Transition: Work pragmatically with our external data consultancy during the transition phase to ingest the existing solution and establish best practice internally.</li></ul> Skills &amp; Experience Required<ul><li>Core Data Engineering: Substantial hands-on experience designing, building, and operating production data warehouses or modern data platforms.</li><li>SQL and deep experience in back-end database development.</li><li>Data Architecture: A background in Data Warehousing, Data Cubes, and dimensional modelling.</li><li>Pragmatic Mindset: A proven ability to understand, take over, and support existing third-party solutions with a proactive, problem-solving attitude.</li></ul> Desirable Extras<ul><li>Familiarity with legal finance and practice-management platforms.</li><li>Experience with Microsoft Fabric development is highly desirable. Alternatively, you may have an Azure Data engineering background and can upskill/adapt to Fabric quickly.</li></ul> What We Offer<ul><li>The opportunity to shape and own a modern enterprise data estate from the ground up.</li><li>A supportive, forward-thinking environment with exposure to the latest Microsoft data technologies.</li><li>Competitive salary (&#xA3;60-70k) and benefits package to match your experience.</li><li>A remote first working environment with occasional travel to the West Midlands.</li></ul> For further information or a confidential discussion on the role contact Dave Flynn at Meraki Talent today: david.flynn@merakitalent.com / 01312972709

Senior Data Engineer

Role Profile Job title: Senior Data Engineer Reporting to: Head of Data and Analytics. Responsible for: Responsible for leading the design and delivery of scalable data integrations using Azure Logic Apps, and related Azure services. Ensures reliability, quality, and governance of integration workflows, and contributes to continuous improvement and DevOps deployment practices. Provides technical guidance and mentoring to junior team members to support their development and uphold best engineering standards. Based at: Remote with travel to Portsmouth and London as required (circa once per month). At least once a month in London for team face to face. Scope: This senior role covers all integration pipelines and automations that support data movement across Bell. You will design, implement, and optimise integration workflows using Azure services, Logic Apps And Microsoft Fabric. You will ensure governance, quality, and scalability in all integration processes. Purpose As a Senior Data Integration Engineer, you will work closely with the Data and Analytics Team, and other stakeholders across the business to ensure seamless data accessibility and usage across the organisation. Role <ul><li>Design, develop, and maintain scalable, robust data integrations using Azure Logic Apps, Azure Storage Accounts Azure API Management, Microsoft Fabric, and other Azure Services.</li><li>Implement integration patterns such as event-driven workflows, API-based integrations, and scheduled orchestrations.</li><li>Ensure high availability, scalability, and security of integration workflows.</li><li>Collaborate with IT, and system users to understand business requirements and ensure data accessibility and integrity.</li><li>Monitor integration solutions, troubleshoot failures, and proactively improve reliability.</li><li>Lead continuous improvement initiatives, driving adoption of best practices and emerging Azure integration technologies.</li><li>Support DevOps processes using Azure DevOps for CI/CD automation, version control, and deployment of Azure resources.</li><li>Provides technical guidance and mentoring to junior team members to support their development and uphold best engineering standards.</li><li>Ensure data security and compliance with industry standards and regulations, such as GDPR.</li><li>Document data processes and workflows for both technical and non-technical audiences. </li></ul>Person <ul><li>Bachelor&#x2019;s or Master&#x2019;s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.</li><li>5+ years of experience in data integration, automation, or data engineering roles.</li><li>3+ years hands-on experience using Azure Logic Apps (essential), but Power Automate experience will be considered.</li><li>Strong experience working with Azure Services such as Storage Accounts, Key Vault, Azure Functions, API Management.</li><li>Experience of developing Analytics solutions using Microsoft Fabric or comparable Azure PaaS services, Azure Data Factory, Synapse etc.</li><li>Experience building and deploying Azure solutions using Azure DevOps pipelines and ARM/Bicep/Terraform templates.</li><li>Proficiency with REST APIs, authentication methods (OAuth, Managed Identities), and system-to-system integration patterns.</li><li>Knowledge of data modelling techniques and best practices.</li><li>Proven record of mentoring and working closely with junior members of a team, with desire to take on future line management responsibilities.</li><li>Experience of using Purview and Power BI is also Desirable, but not essential.</li><li>Desirable certifications, DP-203 Azure Data Engineer, DP-203 Azure Data Engineer, DP-600 Fabric Analytics Engineer Associate, AZ-900 Azure Fundamentals and DP-900 Azure Data Fundamentals.</li><li>Strong problem-solving skills with attention to detail and the ability to troubleshoot complex data issues.</li><li>Excellent communication and collaboration skills, able to work across teams to deliver solutions that meet business needs. </li></ul>Privacy Protecting your privacy and the security of your data is a longstanding top priority for Bell Integration. Please consult our Privacy Notice (click here) to know more about how we collect, use and transfer the personal data of our candidates.

Working model: fully remote from the UK. Employment: official full-time employment through a Luxoft Legal Entity. Why Luxoft?We offer a comprehensive benefits package to support your health, wellbeing, and financial security:<ul><li>Private medical &amp; dental insurance (BUPA)</li><li>Life insurance (3x salary) &amp; income protection</li><li>25 days annual leave + 8 public holidays + paid sick leave</li><li>Pension scheme (AEGON UK)</li><li>Interest-free company loan</li></ul> We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context. Responsibilities:Design &amp; Maintain OntologiesDevelop and manage enterprise ontologies using technologies such as OWL and RDF. Work closely with business and domain experts to model real-world concepts, define relationships between data, and create a common language across the organization.Build Enterprise Knowledge GraphsCreate and maintain scalable knowledge graphs that connect data from multiple sources into a unified, searchable structure. Configure graph databases, load semantic data, and ensure high performance and reliability.Develop Semantic Queries (SPARQL)Write and optimize SPARQL queries to enable efficient data discovery, integration, and analytics. Support advanced search capabilities and help teams extract valuable insights from connected data.Ensure Data Quality &amp; GovernanceDefine and implement validation rules using standards such as SHACL and OWL. Ensure data consistency, integrity, and compliance with established modelling standards and business rules.Integrate Semantic Technologies with Enterprise SystemsPartner with software engineers, architects, and data teams to embed ontologies and knowledge graphs into data pipelines, APIs, applications, and enterprise platforms.Collaborate Across TeamsWork with business stakeholders, data stewards, AI/ML engineers, and technical teams to align semantic models with business needs. Promote adoption of semantic technologies through documentation, training, and knowledge sharing.Enable AI &amp; Intelligent ApplicationsSupport the integration of knowledge graphs and ontologies with AI solutions, including LLM-powered applications and AI agents. Help improve contextual understanding, knowledge retrieval, reasoning capabilities, and overall AI performance.Drive Best Practices &amp; InnovationStay up to date with emerging semantic web technologies, industry standards, and best practices. Contribute to the evolution of the organization&apos;s semantic architecture and establish guidelines for effective knowledge management. Skills:<ul><li>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).</li></ul> <ul><li>Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards - specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.</li></ul> <ul><li>Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.</li></ul> <ul><li>Data Modelling &amp; Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.</li></ul> <ul><li>Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)</li></ul> Nice-to-Have Skills:&#x2022; Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data&#x2022; AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.&#x2022; Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.&#x2022; Tools &amp; Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial. Languages:<ul><li>English: C1 Advanced</li></ul> Luxoft is committed to fostering a diverse and inclusive workplace.We show fairness to all throughout our talent acquisition and management process.

Semantic AI/ML Architect

We&#x2019;re On the Beach! Since 2003, we&#x2019;ve been rewriting the rules of how people discover, book and experience their perfect getaway. What started as connecting people to short-haul beach holidays has evolved into something much bigger: premium beach destinations, long-haul adventures and vibrant city breaks and that&#x2019;s just the beginning of our story. Powered by our deep-rooted entrepreneurial spirit, proprietary tech, curiosity and our incredible people, we&#x2019;re accelerating delivering best-in-class technology, the ultimate holiday app, and experiences that keep our customers coming back for more. Ready to build the future of travel with us? We operate a remote-first working model, with colleagues meeting in our Manchester office one day every two weeks. Please note that all applicants must be eligible to work full-time in the UK. About The Role We&#x2019;re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business. This is a great opportunity for someone who enjoys developing people as much as solving complex technical and platform challenges. You&#x2019;ll play a key role in helping us modernise how data moves through the business, from event-driven cloud data through to more traditional operational data sources, while supporting a talented team of engineers to do their best work. What You&#x2019;ll Be Doing Day To Day As Data Engineering Manager, you&#x2019;ll help lead a team responsible for building reliable, scalable and trusted data products across On the Beach. The role will be varied, with your time broadly split across three key areas: helping us consume and shape event-driven data, working with more traditional data sources and patterns, and supporting the growth and development of the team. You&#x2019;ll work closely with engineers, analysts, product teams, commercial teams and senior stakeholders to make sure our data platforms are robust, well understood and genuinely useful to the business. You&#x2019;ll Be Responsible For <ul><li>Leading, supporting and developing a team of data engineers, creating an environment where people can grow, share knowledge and deliver high-quality work</li><li>Shaping our approach to both modern event-driven data and more traditional data sources, helping improve how we ingest, process, model and make data available across the business</li><li>Supporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data quality</li><li>Partnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutions</li><li>Helping define and improve data engineering standards around testing, monitoring, documentation, deployment and reliability</li><li>Making pragmatic technical decisions that balance delivery, platform quality, long-term maintainability and business value</li><li>Encouraging a culture of technical curiosity, continuous improvement and strong engineering practice across the team </li></ul>We&#x2019;re looking for someone who enjoys both technical leadership and people development. You&#x2019;ll be comfortable working across engineering detail, platform direction and stakeholder conversations. You&#x2019;ll Likely Bring Experience In <ul><li>Building, operating or leading cloud-based data platforms and production-grade data workflows</li><li>Working with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similar</li><li>Event-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environments</li><li>Designing reliable, observable and well-tested data products that can be trusted by both technical and non-technical users</li><li>Coaching, mentoring or supporting engineers, with an interest in helping people develop and progress</li><li>Communicating technical ideas clearly and making pragmatic decisions in fast-moving environments </li></ul>Nice to have <ul><li>Experience with lakehouse architecture, medallion-style workflows or enterprise data modelling</li><li>Exposure to data governance, catalogue tooling, lineage, data quality frameworks or access management</li><li>Experience using AI tools to support engineering productivity, automation or data quality</li><li>Experience helping teams move from batch-heavy or legacy patterns towards more real-time, event-driven or cloud-native approaches </li></ul>Our Benefits We might be biased but we think our colleagues are pretty great. They&apos;re the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow. That&apos;s why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues. These Include <ul><li>25 days holiday plus your birthday off</li><li>Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you&apos;re away on your On the Beach package holiday</li><li>Access to Learnerbly learning platform, plus workshops, courses and professional qualifications</li><li>Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support</li><li>Employee Assistance Programme and free access to counselling</li><li>Simplyhealth Optimise Health Plan</li><li>Company Sick Pay scheme</li><li>Regular wellbeing events</li><li>Gym discount</li><li>Share Incentive Plan (SIP)</li><li>Death in Service cover</li><li>Onsite subsidised coffee shop</li><li>The Sandbox (our very own bar)</li><li>Food and drink discounts across a number of venues in Manchester City Centre</li><li>Regular social events</li><li>Cycle to Work scheme </li></ul>What Success Looks Like Success in this role is about building data pipelines and products that teams can trust. You&#x2019;ll help improve the reliability, quality and performance of our data platform, making it easier for teams across On the Beach to access and use the data they need. You&#x2019;ll reduce friction for downstream analytics and AI use cases by creating well-structured, well-tested and well-documented data products. You&#x2019;ll also contribute to a strong engineering culture within the data team, where standards are clear, pipelines are observable, and continuous improvement is part of how we work. What To Expect From Our Interview Process We&#x2019;ll run a multiple stage interview process, one stage of which will be an in-person interview at our fabulous Aeroworks office in Manchester city centre. We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist. Ways of working Our full time hours are 37.5 per week, but we don&apos;t have rigid working hours so you can find the working pattern that&apos;s right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work. We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre. We operate a remote-first working model, with colleagues meeting in our Manchester office one day every two weeks. Please note that all applicants must be eligible to work full-time in the UK We&apos;re On the Beach! One of the UK&apos;s largest online package holiday specialists, with significant opportunities for growth.

Data Engineering Manager

At Bending Spoons, we&#x2019;re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep&#x2014;designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other. For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That&#x2019;s our promise to such a candidate. A few examples of your responsibilities<ul><li>Design and improve data pipelines. Contribute to the design and evolution of data systems&#x2014;ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.</li><li>Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.</li><li>Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.</li><li>Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.</li><li>Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends. </li></ul>What we look for<ul><li>Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.</li><li>Drive. You&#x2019;re extremely ambitious in everything you do&#x2014;and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high&#x2014;and rising&#x2014;bar.</li><li>Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You&apos;re always happy to get your hands dirty to help your team. You&#x2019;re reliable, honest, and transparent.</li><li>Proficiency in English. You read, write, and speak proficiently in English. </li></ul>What we offer<ul><li>Incredibly talented, entrepreneurial teams. You&#x2019;ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.</li><li>An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential&#x2014;then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you&#x2019;ve got what it takes, you&#x2019;ll soon be playing an essential role in major projects, too.</li><li>All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.</li><li>Competitive pay and access to company equity at a discount. Typical annual salary offers range from &#xA3;85,797 to &#xA3;151,436 in London and from &#x20AC;66,065 to &#x20AC;107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to &#xA3;316,052 in London or &#x20AC;240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity. </li></ul>Commitment &amp; contract Permanent or fixed-term. Full-time or part-time. Location Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries. The selection process In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process. Some people hold back because they feel they lack experience or have an &#x201C;imperfect&#x201D; CV. If you like the role and believe you could excel over time, don&#x2019;t self-reject. All applications go through our careers page, which is the only way to be considered. If you pass our screening, you&#x2019;ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here. We set the bar high and won&#x2019;t extend an offer until we&#x2019;re confident we&#x2019;ve found the right candidate. This is why a job may remain open for months or be reposted several times. We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities&#x2014;please let us know through this form. Before you apply If you&#x2019;ve applied before but didn&apos;t receive an offer, we recommend waiting at least one year before applying again. Bending Spoons is a demanding environment. We&#x2019;re extremely ambitious and we hold ourselves&#x2014;and one another&#x2014;to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment. To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It&#x2019;s the best way to rapidly absorb our company culture and build trust with your new teammates. We&#x2019;ll support you with generous travel and accommodation assistance. After that, you&#x2019;re welcome to work from one of our offices, or remotely from approved countries&#x2014;depending on what we agree at the offer stage. If the role speaks to you and you&#x2019;re excited to give your best, we&#x2019;d love to hear from you. Apply now&#x2014;we can&#x2019;t wait to meet you.

Data scientist

Job Title: Senior Data EngineerJob Location :London, UK ( 2 days a week in client office, 3 days remote)Job Type :Permanent, Contract, FTC Job Description: Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS ,SQL Key Responsibilities:&#x2022; Architect and Develop: Contribute to the platform&#x2019;s architectural design and build integration, modelling, data persistence, and analytical systems.&#x2022; Data Pipelines: Implement, maintain, and test robust data pipelines.&#x2022; Metadata Management: Develop and manage metadata processes and tools.&#x2022; Performance Monitoring: Ensure the stability and performance of data pipelines.&#x2022; Data Quality: Implement tools for data curation, metadata management, and quality assurance.&#x2022; Collaboration: Engage with business and technology teams to align the platform with organizational goals. Preferred Technical Skills:&#x2022; Programming: 5+ years of experience in Python/Java.&#x2022; Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).&#x2022; Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.&#x2022; Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.&#x2022; Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.&#x2022; Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.&#x2022; RDBMS: Knowledge of PostgreSQL is a plus.&#x2022; Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.

Senior AI Engineer Location: Remote (UK) or Hybrid - London (1 days per week in the office if London-based) Salary: &#xA3;65,000 - &#xA3;75,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity We&apos;re looking for a Senior AI Engineer to join a growing AI and Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK, with fully remote working available. For those based near London, there is the option to work hybrid (2 days per week in the office). You&apos;ll work alongside Data Scientists, Software Engineers and Product teams, taking ownership of complex AI services, data pipelines and cloud-native architectures that power intelligent products used at scale. The Role As a Senior AI Engineer, you&apos;ll play a key role in designing, architecting and delivering AI infrastructure with a high degree of autonomy. You&apos;ll help bridge the gap between research and production by developing scalable services, engineering robust data pipelines and implementing best practices across modern AI engineering. You&apos;ll also provide technical leadership within your squad, mentoring engineers and influencing engineering standards across the wider technology organisation. Key Responsibilities <ul><li>Design, build and maintain scalable AI data pipelines and processing workflows.</li><li>Architect cloud-native backend systems and distributed AI services.</li><li>Collaborate closely with Data Scientists to productionise Machine Learning and NLP models.</li><li>Develop high-performance RESTful APIs and microservices for AI model serving.</li><li>Drive system reliability, monitoring, observability and performance optimisation.</li><li>Champion engineering best practices including CI/CD, automated testing and Infrastructure as Code.</li><li>Improve integration, interoperability and data exchange across enterprise platforms.</li><li>Translate complex technical requirements into scalable engineering solutions.</li><li>Mentor junior engineers and provide technical leadership across projects.</li><li>Contribute to architecture decisions, engineering standards and long-term technology strategy. </li></ul>About You You&apos;ll be an experienced Software, Data or AI Engineer with a passion for building scalable AI solutions and solving complex engineering challenges. You&apos;ll ideally have:<ul><li>A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.</li><li>5+ years&apos; commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering.</li><li>Expert-level Python development experience.</li><li>Experience productionising Machine Learning, NLP or Generative AI models.</li><li>Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI, Flask or Django.</li><li>Strong SQL skills with experience designing performant relational database solutions.</li><li>Commercial experience with AWS and/or Azure cloud platforms.</li><li>Experience designing distributed systems and scalable architectures.</li><li>Experience with Docker, Kubernetes and containerised deployments.</li><li>Strong understanding of CI/CD pipelines, automated testing and engineering best practices.</li><li>Excellent communication skills with experience mentoring engineers and collaborating across cross-functional teams. </li></ul>Desirable Experience Experience with any of the following would be highly advantageous:<ul><li>Large Language Models (LLMs)</li><li>Amazon Bedrock</li><li>Azure AI Foundry</li><li>PyTorch</li><li>FastAPI</li><li>Knowledge Graphs</li><li>Kubernetes</li><li>Docker</li><li>Infrastructure as Code</li><li>MLOps</li><li>Event-Driven Architecture</li><li>Vector Databases</li><li>Retrieval-Augmented Generation (RAG) </li></ul>Technology Stack <ul><li>Python</li><li>SQL</li><li>FastAPI</li><li>PyTorch</li><li>Docker</li><li>Kubernetes</li><li>AWS</li><li>Azure</li><li>Git</li><li>CI/CD</li><li>Knowledge Graphs</li><li>AI / Large Language Models (LLMs)</li><li>Amazon Bedrock</li><li>Azure AI Foundry </li></ul>What&apos;s on Offer <ul><li>&#xA3;65,000 - &#xA3;75,000 salary</li><li>Remote-first role with flexibility to work anywhere in the UK</li><li>Optional hybrid working from the London office (2 days per week)</li><li>Annual bonus</li><li>Private healthcare</li><li>Pension scheme</li><li>25+ days annual leave plus bank holidays</li><li>Learning and development budget</li><li>Career progression within a growing AI Engineering function</li><li>Opportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives using the latest technologies</li><li>Collaborative engineering culture focused on innovation, knowledge sharing and continuous improvement </li></ul>Eligibility Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available, so we are unable to consider candidates requiring current or future sponsorship. If you&apos;re passionate about building production-grade AI platforms and want to work on cutting-edge AI solutions with the flexibility of remote working, we&apos;d love to hear from you. Desired Skills and Experience Senior AI Engineer Location: Remote (UK) or Hybrid - London (1 days per week in the office if London-based) Salary: &#xA3;65,000 - &#xA3;75,000 + Excellent Benefits Job Type: Permanent

Senior AI Engineer

TrueNorth are working with a successful tech consultancy who work heavily in the public sector - we&apos;re looking for Senior Data Engineers for some immediate contract roles. Key skills:<ul><li>Data pipeline engineering - ingestion, transformation, CDC, scheduling</li><li>AWS lakehouse build (Glue, S3/Iceberg, MWAA), patterns &amp; reusable templates.</li><li>Tools: AWS Glue / S3 / MWAA; Apache Iceberg / Python / Pyspark / Terraform</li></ul> The roles are inside IR35 and have a rate of &#xA3;300-400 per day - they are home-based roles with any unlikely travel that is required, will be fully expensed. Given the urgency of the roles and projects, we do need everyone to be available either immediately or with circa 1 weeks notice - it is also essential that you are SC Cleared and the clearance is still active. Please apply for more info and immediate consideration.

Senior Data Engineer - SC Active

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system. We&apos;ve raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber. We&apos;re building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers. We&apos;re hiring a Database Reliability Engineer to own the reliability, performance and scalability of Fuse&apos;s data infrastructure. This is a remote role. Responsibilities <ul><li>Own the reliability, performance and scalability of Fuse&apos;s database infrastructure across Postgres and ClickHouse</li><li>Build and maintain scalable, reliable data pipelines to support analytics, reporting and product needs</li><li>Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models</li><li>Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability</li><li>Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams</li><li>Implement tests and data quality checks to ensure reliable, trustworthy datasets</li><li>Identify and eliminate duplicates, improve data consistency and enforce clean modelling standards</li><li>Manage all database and infrastructure changes through IaC, minimising direct DB modifications </li></ul>Requirements <ul><li>3+ years in a backend engineering or data-focused engineering role</li><li>Excellent SQL; proficiency in Python and SQL is non-negotiable</li><li>Hands-on experience with relational databases, particularly Postgres</li><li>Experience designing schemas and building data models that reflect real-world business logic</li><li>Familiarity with DBT or similar data transformation frameworks</li><li>Strong understanding of data validation, testing and quality assurance practices</li><li>Manages all infrastructure through IaC tooling (Pulumi, AWS CDK), treating the database as code</li><li>Grasps new business domains quickly, translating unfamiliar logic into clean, intuitive data models</li><li>Bonus: ClickHouse or columnar databases; cloud-based data orchestration (Dagster, Step Functions); CI/CD for data pipelines and transformations; operating databases at scale in production </li></ul>Benefits <ul><li>Competitive salary and eligibility for equity</li><li>Biannual bonus scheme</li><li>Fully expensed tech to match your needs</li><li>Private health insurance</li><li>Breakfast and dinner allowance for office-based employees </li></ul>As we hire globally, benefits vary by location.

Database Reliability Engineer

Data Engineer Location: Fully Remote (UK)Salary: &#xA3;45,000 - &#xA3;55,000 + BenefitsContract: Permanent, Full-Time We&apos;re working with a growing organisation looking to strengthen its data capability with the addition of a Data Engineer.This is a hands-on role within a fast-paced data environment, where you&apos;ll be expected to contribute quickly and take ownership of your work. You&apos;ll work across a variety of data initiatives, developing and maintaining pipelines and supporting the delivery of reliable data solutions for reporting, analytics and wider business decision-making.We&apos;re looking for someone with solid data engineering fundamentals who is comfortable getting into the detail, solving problems independently and working at pace. Strong SQL and practical experience building data pipelines are essential, this isn&apos;t a role suited to someone who has only had limited exposure to data engineering. Key Responsibilities<ul><li>Develop and maintain data pipelines and data integration processes</li><li>Build and support ETL/ELT processes across a modern data environment</li><li>Write, troubleshoot and optimise SQL queries</li><li>Work with Python to support data engineering and automation activities</li><li>Support the development and enhancement of cloud-based data solutions</li><li>Contribute to data modelling, transformation and optimisation activities</li><li>Monitor and improve data quality, reliability and performance</li><li>Investigate and resolve data and pipeline issues</li><li>Work with technical and non-technical stakeholders to understand requirements</li><li>Contribute to data platform enhancements and continuous improvement initiatives</li><li>Support reporting, analytics and wider data-driven projects</li></ul> Required Experience<ul><li>2-3 years&apos; commercial experience working as a Data Engineer or in a similar hands-on data role</li><li>Strong SQL skills with the ability to write queries confidently and troubleshoot data problems</li><li>Practical experience using Python within a data engineering environment</li><li>Proven experience building and maintaining ETL/ELT data pipelines</li><li>Good understanding of data modelling, data warehousing and modern data engineering principles</li><li>Experience working with cloud technologies such as Azure, AWS or GCP</li><li>Comfortable working with structured and unstructured datasets</li><li>Strong analytical and problem-solving ability, with a practical approach to resolving technical issues</li><li>Ability to work independently and deliver at pace in a fast-moving environment</li><li>Good communication skills and the ability to work effectively with both technical and business stakeholders</li></ul> Desirable Experience<ul><li>Experience with Databricks</li><li>Experience with dbt</li><li>Experience with Azure Data Factory, Airflow or other orchestration tools</li><li>Exposure to Snowflake</li><li>Experience with Git and modern development practices</li><li>Understanding of CI/CD</li><li>Familiarity with BI and reporting tools such as Power BI or Tableau</li></ul> What We&apos;re Looking ForWe&apos;re looking for someone who has moved beyond simply learning data engineering concepts and is comfortable applying them in a real production environment.You&apos;ll need to be confident with the fundamentals, particularly SQL, pipelines and data transformation, and able to work through technical problems without needing significant hand-holding. The environment is fast-paced, so you&apos;ll need to be someone who can think logically, learn quickly and deliver practical solutions at pace. What&apos;s on Offer<ul><li>Fully remote working within the UK</li><li>&#xA3;45,000 - &#xA3;55,000 salary + benefits</li><li>Opportunity to work with modern cloud and data technologies</li><li>Exposure to Databricks, dbt and modern data engineering practices</li><li>Ongoing learning and development opportunities</li><li>Supportive and collaborative working environment</li><li>Clear opportunities for career progression</li></ul> This is an excellent opportunity for a hands-on Data Engineer with solid technical fundamentals who wants to develop further within a modern data environment. If you&apos;re confident with SQL, have genuine experience building data pipelines and enjoy working through technical problems at pace, this could be a strong next step.

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