Data Migration Lead Developer Fully Remote &#xA3;55,000 - &#xA3;60,000 + Company Car / Car Allowance - &#xA3;5,200 1 Year FTC BriefData Migration Lead Developer needed for a large well known Facilities Management organisation based fully remote from home with the occasional travel when needed who are looking to employ an experienced and well-rounded Data Migration Lead Developer that takes pride in their work. The successful candidate will need to have proven experience in data migration and development within ERP transformation projects, preferably SAP S/4HANA along with hands-on experience with data factory development, data cleansing, and data quality analysis (for example use of Palantir, AWS, Power BI or other similar tools) Benefits<ul><li>Salary: &#xA3;55,000 - &#xA3;60,000 per annum</li><li>25 day&apos;s holiday</li><li>Company</li><li>Variable annual bonus based 5-15%</li><li>Pension Plan</li><li>Career Progression</li></ul> What the role entails:Some of the main duties of the Data Migration Lead Developer will include: The Data Migration Lead Developer will play a pivotal role in delivering the UK ERP and E-Procurement finance transformation programme by designing, building, and operating the data factory responsible for migrating data from multiple source systems into the new SAP S/4HANA and eProcurement environments. This role involves working closely with SAP specialists, subject matter experts, and business stakeholders to ensure high-quality data cleansing, transformation, and migration. The successful candidate will also support data quality analysis to focus cleansing efforts effectively and lay the foundation for ongoing data governance in the finance and procurement domains. <ul><li>Lead the technical development and operation of the data migration factory, implementing migration specifications and data mappings</li><li>Manage one data analyst who will contribute to achieving the overall data migration team goals</li><li>Collaborate with subject matter experts to provide data quality analysis, prioritising cleansing efforts to meet migration deadlines and quality standards</li><li>Produce and manage key deliverables including Data Management Plans, Data Definitions, Migration Specifications, Data Reconciliation Reports, and Cutover Plans</li><li>Engage with stakeholders across business units to understand data challenges and ensure the migration solutions meet business requirements</li><li>Establish practices that contribute to future data governance frameworks within finance and procurement domains</li></ul> What experience you need to be the successful Data Migration Lead Developer: <ul><li>Proven experience in data migration and development within ERP transformation projects, preferably SAP S/4HANA</li><li>Hands-on experience with data factory development, data cleansing, and data quality analysis (for example use of Palantir, AWS, Power BI or other similar tools)</li><li>Familiarity with finance and procurement data landscapes and associated systems</li><li>Strong technical skills in data mapping, migration specification design, and data reconciliation</li><li>Experience in working with cross-functional teams in many locations is desirable</li><li>Ability to work in a complex, matrixed organisation with multiple stakeholders</li><li>Excellent problem-solving skills with attention to detail and accuracy</li><li>Strong stakeholder management and communication skills</li></ul> This really is a fantastic opportunity for a Data Migration Lead Developer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don&apos;t miss out!

Data Migration Lead Developer

Senior Data Engineer | &#xA3;85,000 - &#xA3;100,000 | Fully Remote (UK) | High-Growth Tech Scale-Up &#x1F680; Here at Burns Sheehan, we&apos;re working with a fast-growing, product-led technology business operating in the online gaming and entertainment space, as they look to hire a Senior Data Engineer to help scale their data platform. Having experienced significant growth, the business is continuing to invest in its technology and engineering capabilities, with Data playing an increasingly important role in supporting product development, analytics and commercial decision-making. This is an opportunity to join a small, highly technical Data Engineering team where you&apos;ll have genuine ownership of projects, influence architectural decisions and help shape engineering standards as the business continues to scale. &#x1F4BB; The RoleYou&apos;ll be responsible for designing, building and scaling the data infrastructure that supports the wider business, working across the full data engineering lifecycle. Key responsibilities include:<ul><li>Designing and building scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt and AWS.</li><li>Taking end-to-end ownership of data engineering projects, from ingestion and transformation through to analytics.</li><li>Developing and optimising data models to support business and product decision-making.</li><li>Improving data quality, monitoring, alerting and testing across the platform.</li><li>Building out staging and testing environments and contributing to CDC and lower-latency data initiatives.</li><li>Working closely with Product, Engineering and Analytics teams to solve complex data challenges.</li></ul> What We&apos;re Looking For<ul><li>Strong commercial experience in Data Engineering, ideally within a product-led start-up or scale-up.</li><li>Excellent Python and SQL skills, alongside strong software engineering fundamentals.</li><li>Experience with modern data technologies such as Snowflake, dbt, Dagster/Airflow and AWS, or similar.</li><li>Strong understanding of data modelling, scalable pipelines and production-grade engineering practices.</li><li>A track record of independently owning and delivering complex technical projects.</li><li>Someone who enjoys solving problems, working with autonomy and thriving in a fast-moving environment.</li></ul> Benefits <ul><li>Fully remote UK working, with flexible working arrangements and a fully supported home office setup.</li><li>Private healthcare with zero excess, including optical cover and optional dental cover.</li><li>Income protection to provide additional financial security.</li><li>25 days&apos; annual leave, increasing by 2 days after 3 years of service and up to 30 days after 5 years.</li><li>Workplace nursery salary sacrifice scheme, helping parents save on childcare costs.</li><li>Tech and holiday salary sacrifice schemes, allowing you to spread the cost of purchases and holidays.</li><li>Retail discounts and subscription perks across a range of brands.</li><li>Quarterly team socials, bringing the remote team together.</li></ul> Why Consider This Opportunity?<ul><li>&#xA3;85,000 - &#xA3;100,000 base salary.</li><li>Fully remote working anywhere in the UK.</li><li>Opportunity to influence the architecture and direction of a growing data platform.</li><li>High-impact projects covering platform scalability, data reliability and lower-latency analytics.</li><li>Small, collaborative engineering team with genuine technical ownership.</li><li>Private healthcare, income protection, home office support and additional benefits.</li><li>Clear opportunities for progression as the team continues to grow.</li></ul> If you&apos;re a Senior Data Engineer who enjoys building robust data platforms, solving complex engineering challenges and having a genuine impact on a scaling technology business, we&apos;d love to hear from you!

Senior Data Engineer

Project DescriptionHiredbuddy is seeking a motivated Machine Learning Engineer to join our remote team. You will build, train, and evaluate machine learning models to solve real-world problems and support data-driven applications. Ideal for entry-level candidates with strong programming, analytical, and problem-solving skills and a passion for artificial intelligence. You&apos;ll work with Python, machine learning libraries, and data processing tools while gaining hands-on experience with real-world ML projects. This is a great opportunity to grow your career in a supportive and innovative environment.Full DescriptionHiredbuddy is looking for a detail-oriented and enthusiastic Machine Learning Engineer to join our growing team. This is an entry-level, remote position perfect for someone eager to launch their career in machine learning and artificial intelligence. You will work closely with data scientists, software engineers, and other teams to develop machine learning solutions that address business and technical challenges.In this role, you will be responsible for preparing datasets, developing machine learning models, evaluating model performance, and helping integrate ML solutions into applications. You will work with structured and unstructured data, identify patterns, and experiment with different algorithms to improve model accuracy and performance. You will also have the opportunity to collaborate with senior engineers and data scientists, gaining valuable mentorship and hands-on experience.Your daily tasks will include collecting and cleaning data, performing exploratory data analysis, preparing features, and training machine learning models using Python and libraries such as Scikit-learn, Pandas, and NumPy. You may work with supervised and unsupervised learning techniques, including classification, regression, clustering, and recommendation systems. You will also assist with model testing, performance evaluation, documentation, and optimization.As you grow in the role, you will have opportunities to work on more advanced projects involving deep learning, natural language processing, computer vision, and model deployment. You may also gain experience with tools and platforms such as TensorFlow, PyTorch, Docker, cloud services, and ML deployment workflows.At Hiredbuddy, we value curiosity, experimentation, problem-solving, and a willingness to learn. We provide a supportive environment where you can develop your technical skills through practical projects, learning resources, regular feedback, and mentorship. Our remote-first culture provides flexibility while encouraging collaboration through virtual meetings and communication tools.If you are passionate about machine learning and want to build intelligent solutions that make an impact, we encourage you to apply. We are looking for individuals who are proactive, analytical, communicative, and eager to grow their skills. Join us and be part of a team focused on innovation and excellence.Requirements<ul><li>Bachelor&apos;s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related field</li><li>0-2 years of experience in machine learning, data science, or a related role (internships and academic projects count)</li><li>Proficiency in Python programming</li><li>Basic understanding of machine learning concepts and algorithms</li><li>Experience with libraries such as Scikit-learn, Pandas, and NumPy</li><li>Understanding of data preprocessing, feature engineering, and model evaluation</li><li>Familiarity with supervised and unsupervised learning techniques</li><li>Basic knowledge of statistics and probability</li><li>Strong analytical and problem-solving skills</li><li>Good understanding of algorithms and data structures</li><li>Familiarity with Git or other version control systems</li><li>Good communication skills, both written and verbal</li><li>Ability to work independently and collaboratively in a remote environment</li><li>Eagerness to learn new machine learning tools and technologies</li></ul>Benefits<ul><li>Professional development budget for courses and certifications</li><li>Regular team-building activities and virtual events</li><li>Hands-on experience with real-world machine learning projects</li><li>Mentorship from experienced engineers and data scientists</li><li>Opportunity for career growth in AI and machine learning</li></ul>

Machine Learning Engineer

Allow us to introduce ourselvesHello there! We&#x2019;re Appinio, a global market research company that combines an AI-powered insights platform with expert consultancy. Read all the information about this opportunity carefully, then use the application button below to send your CV and application. On a mission to make the world a little more fact-based, we help companies understand how consumers think and make smarter decisions.We started out in Hamburg back in 2014, but we&#x2019;re now humbled to call the world our playground, with over 260 employees spread across 13 countries (we&#x2019;re remote-first), 2600+ international clients, delivering research from +190 markets, globally.Want to be a part of the Appinio movement? &#xF0;Here at Appinio, we value transparency in our recruitment process, and we&apos;ve created a blog to share what to expect during each step of our journey together:hereYour mission as an Analytics EngineerWe are looking for an Analytics Engineer (m/f/d) with strong data engineering skills to join our Data team and help build a scalable, reliable, and well-structured data foundation across Appinio.In this role, you will design and maintain clean, scalable data models that make data easy to access, understand, and use across the organisation. You will use SQL, dbt, and Python to transform raw data into meaningful datasets, develop automated workflows, and ensure consistency and reliability across our data warehouse.Beyond data modelling, you will contribute to building, maintaining, and optimising data pipelines and integrations. You will work with APIs, databases, and third-party data sources to ensure reliable data ingestion, troubleshoot pipeline issues, and improve the overall stability and performance of our data infrastructure.Working closely with Analytics, Product, Engineering, and business teams, you will help define and standardise key business metrics such as revenue, bookings, and churn, ensuring a single source of truth across the company. You will also take ownership of data quality through automated testing, validation, and monitoring across the data lifecycle.You will explore and leverage AI-powered tools to improve development workflows, automate repetitive tasks, and enhance data engineering and analytics processes. You will also help prepare our data foundation for AI-driven analytics by ensuring that data models, business definitions, and documentation are structured, consistent, and accessible.You will contribute to documentation, performance optimisation, and the continuous improvement of our data stack, helping us build a robust and scalable data platform that enables teams across Appinio to make faster, more informed decisions.What you&#x2019;ll be doingData Modeling: Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt, making data accessible and reliable for analysts and business users.Data Transformation: Develop and maintain data transformation workflows, turning raw data from multiple sources into structured, analytics-ready datasets.Data Pipelines &amp; Integration: Build, maintain, and troubleshoot data pipelines and integrations, ensuring reliable data ingestion from APIs, databases, and third-party systems into the data warehouse.Data Quality &amp; Testing: Ensure data accuracy and reliability by implementing automated tests, validations, monitoring, and proactive issue resolution across data pipelines and models.Documentation: Document data models, pipelines, business definitions, and transformation logic to ensure transparency, maintainability, and knowledge sharing.Business Logic Ownership: Define, implement, and standardize key business metrics (e.g. revenue, bookings, churn) to ensure consistency across reporting and analytics.Collaboration: Work closely with analysts, business stakeholders, and engineering teams to understand data requirements and deliver reliable, scalable data solutions.Performance &amp; Infrastructure Optimization: Optimize SQL queries, dbt models, and data pipelines for performance, scalability, and efficient use of data warehouse resources.You will thrive in this role ifStrong SQL &amp; Data Modeling Skills: You have excellent SQL skills and hands-on experience designing, building, and maintaining scalable data models in a modern data warehouse.Experience with dbt: You have practical experience using dbt to develop, test, document, and maintain reliable data transformation workflows.Data Engineering &amp; Python: You are proficient in Python and have experience building, maintaining, and troubleshooting data pipelines, including integrations with APIs, databases, and third-party systems.Data Warehousing Knowledge: You understand modern data warehouse architectures and have experience working with cloud-based solutions such as Amazon Redshift, Snowflake, or BigQuery.Data Quality &amp; Reliability: You have a strong understanding of data quality principles, automated testing, validation, and monitoring, with a proactive approach to identifying and resolving issues.Business Understanding: You can translate business requirements into reliable data models and clearly defined metrics, balancing technical quality with practical business needs.Problem-Solving &amp; Ownership: You are analytical, detail-oriented, and comfortable taking ownership of technical challenges, investigating root causes, and developing sustainable solutions.Collaboration &amp; Communication: You communicate technical concepts clearly, work effectively with both technical and non-technical stakeholders, and enjoy collaborating across teams.AI &amp; Automation Mindset: You are curious about AI-powered development tools and actively explore opportunities to automate repetitive tasks, improve workflows, and increase productivity.What&#x2019;s in it for you?Flexibility Policy <ul><li> Average is 30 days taken, however, we do not have a hard cap of number of vacation days as we know life happensTemporary work from abroad</li><li> If you&apos;re based in the EU, you can work outside your country of residence for up to 180 days per yearAll the hardware you need and your own MacBookIf you are located in Hamburg or Berlin, you&apos;ll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office spaceSubsidised Urban Sports Club or ClassPass membership based on locationIn case you&#x2019;re located in one of the cities where most of our fellow Appinioneers are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to our Co-working spacesAdditional role detailsThis is a fully remote position open to candidates based in Germany, the UK, Portugal, the Netherlands, and SpainThis role will report directly to our Team Lead, Business IntelligenceOur interview processScreening Call with the Talent Acquisition teamHiring Manager interviewCase Study Executive InterviewReferencesKind reminder: Please ensure that your application is submitted in English.This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. </li></ul>Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We&apos;re eager to hear from individuals who share our enthusiasm.Appinio is an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Please read our privacy policy here.Learn more about us: LinkedIn Xing Kununu Instagram

Analytics Engineer (m/f/d)

Staff Engineer (Data) | Fully remote (UK) | Up to &#xA3;125k We&apos;re partnered with a product-led scale-up in EdTech, with software used by thousands of schools across the UK. Underneath the product suite sits a large data platform, and on top of it a fast-growing set of AI and agentic features. They need a Staff Engineer to set the technical direction across all three. The role<ul><li>Own architecture for the data domain, from transactional databases (OLTP) through to analytics and reporting (OLAP) and the foundations their AI products run on</li><li>Set direction across multiple teams you don&#x2019;t manage, working closely with Product Directors and Technical Leads</li><li>Architect the infrastructure behind LLM orchestration, retrieval-augmented generation (RAG) and real-time model inference</li><li>Mentor senior engineers and technical leads, and help lead a genuine shift to AI-first ways of working</li><li>Influence as much as you design: expect to spend as much time getting stakeholders bought in as you do on the architecture itself</li></ul> Why it&#x2019;s worth a look<ul><li>Real scope and real ownership. This is a data architect role in practice, with a Staff Engineer title and the influence to match</li><li>An AI-first culture where the team already uses AI tools daily, and you&#x2019;ll help embed that into how they build</li><li>Fully remote within the UK, with occasional in-person catch-ups</li><li>A company where your decisions are visible and your impact is felt throughout</li></ul> What they&#x2019;re looking for<ul><li>A current Staff, Principal or Architect title, with architectural direction set across three or more teams</li><li>Strong data architecture and modelling experience (Star, Medallion) in cloud-native environments such as Snowflake</li><li>Depth in more than one data discipline (platform, analytics, data science or AI), and honesty about where you&#x2019;re lighter</li><li>Comfortable being the person in the room with product and commercial leaders, translating business goals into technical strategy</li><li>A view on how AI-first engineering will change the data ecosystem, ideally backed by worked examples</li></ul> This probably isn&#x2019;t for you if you want to ship code day to day, have spent your career in one layer of the stack, or prefer the technical side to the stakeholder side. If this sounds like you, or someone you know, apply here or message me directly for a confidential conversation. Staff Engineer (Data) | Fully remote (UK) | Up to &#xA3;125k

Staff Engineer (Data) | Fully remote (UK) | Up to £125k

Microsoft Fabric Data EngineerLocation: Remote (UK)Salary: &#xA3;60,000 - &#xA3;65,000 + BenefitsType: Permanent About the RoleWe are seeking an experienced Microsoft Fabric Data Engineer to join a growing data and analytics team. This is an opportunity to play a key role in the development of a modern, cloud-based data platform, leveraging Microsoft Fabric to deliver scalable, reliable, and business-critical data solutions.You&apos;ll be responsible for designing and building end-to-end data pipelines, developing Lakehouse and Warehouse solutions, optimising data models for analytics, and enabling high-quality reporting through Power BI. Working closely with stakeholders across the business, you&apos;ll help transform raw data into trusted, accessible, and actionable insight.This role is ideal for someone who enjoys ownership, is passionate about modern data architecture, and wants to help shape the future of an organisation&apos;s data capability. Key Responsibilities<ul><li>Microsoft Fabric Platform DevelopmentDesign, develop, and maintain scalable solutions within Microsoft Fabric.</li><li>Build and optimise Fabric Pipelines, Dataflows, Notebooks, Lakehouses, and Warehouses.</li><li>Implement robust data engineering standards and best practices across the platform.</li><li>Data Engineering &amp; IntegrationDevelop and maintain data ingestion pipelines from APIs, databases, flat files, and third-party applications.</li><li>Automate data processing workflows to improve efficiency and reduce manual intervention.</li><li>Create reusable transformation frameworks using Python, SQL, and Fabric notebooks.</li><li>Data Modelling &amp; AnalyticsDesign and develop scalable data models to support reporting and analytics requirements.</li><li>Enable efficient Power BI reporting through well-structured semantic models and optimised datasets.</li><li>Support the delivery of enterprise-grade analytics solutions.</li><li>Governance &amp; Data QualityImplement data quality controls, monitoring, and validation processes.</li><li>Support data governance initiatives, ensuring consistency, security, and compliance.</li><li>Maintain documentation, metadata, and lineage across data assets.</li><li>Stakeholder CollaborationWork closely with analysts, BI developers, software engineers, and business stakeholders.</li><li>Translate business requirements into scalable technical solutions.</li><li>Provide recommendations on improving data processes and architecture.</li></ul> Required Skills &amp; Experience<ul><li>EssentialHands-on experience with Microsoft Fabric.</li><li>Strong experience building Fabric Pipelines, Lakehouses, Warehouses, and Notebooks.</li><li>Advanced SQL skills and data modelling expertise.</li><li>Python experience for automation and data transformation.</li><li>Experience integrating data from APIs, databases, and cloud applications.</li><li>Power BI experience including semantic modelling and performance optimisation.</li><li>Understanding of modern data architectures including Lakehouse and Warehouse methodologies.</li><li>Experience working with Azure-based data platforms.</li><li>Strong stakeholder engagement and requirements gathering skills.</li><li>DesirableExperience with Azure Data Factory, Synapse Analytics, Databricks, or Azure DevOps.</li><li>Knowledge of CI/CD processes and Git version control.</li><li>Exposure to Microsoft Purview or other governance tools.</li><li>Experience within Energy, Utilities, Sustainability, Retail, Financial Services, or other data-intensive industries.</li><li>Microsoft Certifications such as:</li><li>DP-700 Microsoft Fabric Data Engineer Associate</li><li>DP-600 Microsoft Fabric Analytics Engineer Associate</li><li>PL-300 Power BI Data Analyst</li></ul> <ul><li>What We&apos;re Looking ForOwnership mentality with a passion for building scalable solutions.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Ability to work independently in a remote environment.</li><li>Curious, proactive, and committed to continuous improvement.</li><li>Pragmatic approach to balancing technical excellence with business priorities.</li></ul> <ul><li>BenefitsSalary: &#xA3;60,000 - &#xA3;65,000</li><li>Fully Remote Working</li><li>Flexible Hours</li><li>Private Healthcare</li><li>Generous Pension Contribution</li><li>Learning &amp; Development Budget</li><li>Microsoft Certification Support</li><li>25 Days Holiday + Bank Holidays</li><li>Career Progression Opportunities</li></ul>

Fabric Data Engineer

Full-Stack Software Engineer Location: Global, Fully Remote Job Type: Contractor | :15 hours/week Schedule: Flexible We&apos;re looking for experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, code evaluation, and technical problem-solving. Key Responsibilities <ul><li>Develop and debug front-end and back-end applications.</li><li>Build features, APIs, services, and data models.</li><li>Understand and work across unfamiliar codebases.</li><li>Troubleshoot application, API, database, and integration issues.</li><li>Review and evaluate AI-generated code for correctness, security, performance, and maintainability.</li><li>Translate and adapt software builds between programming languages. </li></ul>Required Skills <ul><li>Python</li><li>React</li><li>JavaScript</li><li>Java</li><li>Node.js</li><li>Rust</li><li>Go</li><li>TypeScript</li><li>Strong full-stack development experience</li><li>Experience with APIs, databases, application architecture, and debugging </li></ul>Hiring Process <ul><li>Submit application and screening questions.</li><li>Complete a :30-minute AI interview.</li><li>Complete a technical assessment, if required.</li><li>Hiring manager review. </li></ul>

Sr. Full-Stack Software Engineer - Remote

Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity The Company We&apos;re partnering with an early-stage AI company building technology that helps organisations make better decisions from complex, fast-changing information. At the heart of the business is a unique and growing data asset. They&apos;re building an intelligence layer around this data &#x2014; combining software engineering, data infrastructure, retrieval and AI to make it searchable, usable and trustworthy. Data is the product. The frontend is the wrapper. They already have customers and are now entering their next stage of growth, rebuilding the engineering team around a small number of exceptional hires. The Role &#x2013; Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity This is a rare opportunity to join as one of the most senior technical people in the business and take significant ownership of the platform. You&apos;ll be highly hands-on across Python, data, RAG, AI and infrastructure, while helping determine what gets built, how it&apos;s built and how the engineering function evolves. You&apos;ll work directly with leadership, taking ambiguous problems and turning them into production software. As the company scales, there is potential for this person to grow into broader technology leadership and ultimately a CTO-level role. What You&apos;ll Be Doing<ul><li>Own and evolve the core AI &amp; data platform</li><li>Build backend services and APIs in Python</li><li>Design complex SQL/PostgreSQL data models</li><li>Build data pipelines and retrieval systems</li><li>Develop RAG and semantic search capabilities</li><li>Build production AI/LLM features</li><li>Make architecture and infrastructure decisions</li><li>Take ambiguous problems from 0&#x2192;1</li><li>Establish engineering standards</li><li>Help build and technically lead the engineering team</li></ul> Tech Stack - Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity Python | SQL | PostgreSQL | TypeScript | AWS | RAG | LLMs | APIs | Data Pipelines AI is deeply embedded into how the team builds. Engineers are encouraged to use AI coding tools extensively, while remaining responsible for understanding, testing and owning what they ship. What They&apos;re Looking For<ul><li>Strong Python backend engineering</li><li>Excellent SQL / relational database knowledge</li><li>Experience with RAG, retrieval or semantic search</li><li>Experience owning production software end-to-end</li><li>Comfortable working across the full stack</li><li>Strong product and technical judgement</li><li>Comfortable solving highly ambiguous problems</li><li>Startup / scale-up experience</li><li>High ownership and autonomy</li><li>Technically strong while commercially minded</li></ul> You don&apos;t need to already be a Tech Lead. They&apos;re more interested in what you&apos;ve owned, the decisions you&apos;ve made and whether you&apos;re capable of becoming the person others rely on for technical judgement. Interview Process<ul><li>Initial conversation</li><li>Short take-home &#x2014; AI use encouraged</li><li>60-minute technical discussion</li><li>30-minute culture conversation</li></ul> Why Join? - Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity<ul><li>Potential path from Lead Product Engineer &#x2192; CTO</li><li>Become one of the most senior technical people in the business</li><li>Genuine ownership over product and architecture</li><li>Build across AI, RAG, data and backend engineering</li><li>Work directly with company leadership</li><li>Help build the engineering team around you</li><li>Existing customers with a major new product direction</li><li>Flexible London / remote working</li><li>Equity alongside salary</li></ul> If you&apos;re a senior Product Engineer who wants more than another IC role &#x2014; and wants the opportunity to build the product, shape the technology and potentially grow into leading the entire engineering function &#x2014; we&apos;d love to hear from you. Apply with your CV and we&apos;ll be in touch if there&apos;s alignment

Lead Product Engineer → CTO | Python, SQL, RAG, AWS, TypeScript | AI & Data Infrastructure, Start-up | Technical Ownership, 0→1 | UK remote | Base £80-100K + Equity

Senior Data EngineerUK Remote | Occasional travel to London (approximately 1&#x2013;2 times per month) Exciting opportunity for a Senior Data Engineer to join a growing technology function at an important stage of its data transformation journey. The business is developing a new group-wide data platform using Azure, with Power BI as the primary analytics and reporting layer. This is a hands-on role with genuine scope to influence how the platform is built, establishing engineering standards, patterns and best practices as the data environment continues to mature. Microsoft Fabric is also part of the platform&apos;s ongoing development, offering the opportunity to contribute to its evolution. You will take a leading role in building and extending data pipelines, working with Python, SQL and Fabric across a broad range of enterprise source systems and data domains. You&apos;ll also help shape the technical standards for the platform, ensuring data is reliable, secure, governed and accessible across the organisation. The Role:<ul><li>Build, maintain and extend data ingestion, transformation and orchestration pipelines using Python, SQL and Azure technologies.</li><li>Develop and optimise data solutions within Azure Synapse Analytics, supporting the ongoing development of the wider data platform.</li><li>Develop data models and curated datasets to support Power BI, analytics and data science.</li><li>Help establish engineering standards, reusable patterns and best practices across a growing data platform.</li><li>Work across multiple enterprise source systems and data domains, with responsibility for data quality, governance, security and platform performance.</li><li>Contribute to the ongoing development of the platform, including its adoption and use of Microsoft Fabric.</li><li>Provide technical guidance to other engineers and help develop the wider organisation&apos;s use of its data platform.</li></ul> The Person:<ul><li>Strong commercial experience as a hands-on Data Engineer, ideally having helped build or mature a cloud data platform rather than solely operating an established environment.</li><li>Strong hands-on experience with Python and SQL, alongside practical experience building data platforms using Azure Synapse Analytics and wider Azure technologies.</li><li>Experience building and maintaining production data pipelines, data models and analytics-ready datasets, ideally with Power BI as a consumption layer.</li><li>Good understanding of modern data architecture, including lakehouse and warehouse patterns, data quality, governance and security.</li><li>Experience with Microsoft Fabric would be beneficial, but the key requirement is a strong foundation in Python, Synapse and building data platforms.</li><li>Comfortable working across a complex or multi-site organisation and collaborating with architects, analysts, data scientists and wider technology teams.</li></ul> This is a fantastic opportunity to join a well-established business at a relatively early stage of its data journey, taking on a key hands-on engineering role with genuine influence over how its group-wide data platform develops. You&apos;ll have the opportunity to work with established Azure technologies while contributing to the platform&apos;s evolution, including its use of Microsoft Fabric.

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