Data Engineer

We are Concord EU! We help optimize leading North American and European businesses through expertly developed products based on artificial intelligence, cloud applications and well-designed user experiences. Our Concord EU teams digitize traditional businesses and help launch new digital business models.

We are looking for a skilled and proactive Data Engineer to join our team, with a focus on designing, building, and maintaining robust data pipelines in a cloud-centric environment. The ideal candidate will bring deep expertise in AWS services and real-time data processing, ensuring data integrity, scalability, and performance across streaming and batch workflows. This role will involve close collaboration with data scientists, analysts, and software engineers to deliver reliable, high-quality data solutions that power our business.

The position is for a 6-month project with the potential for extension – _civil contract or b2b._Data Engineer - RemoteResponsibilities

• Design, implement, and optimize data pipelines using AWS services, including RDS (Relational Database Service), EKS (Elastic Kubernetes Service), and Glue, to support scalable and efficient data workflows.
• Develop and maintain Change Data Capture (CDC) mechanisms to ensure accurate and timely data updates across systems.
• Leverage Amazon MSK (Managed Streaming for Apache Kafka) to enable real-time data synchronization and processing between distributed systems.
• Build and manage streaming and batch data processing pipelines using tools such as AWS Glue, Apache Kafka, Apache Spark, and Amazon Kinesis.
• Ensure relational data modeling best practices are applied, maintaining data integrity and consistency during migrations and transformations.
• Write clean, efficient code in Python, Scala, or Java to support data pipeline development and automation.
• Design and monitor resilient data pipelines, minimizing downtime and data loss through proactive troubleshooting and performance tuning.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business objectives.
• Document technical designs, processes, and operational procedures to ensure maintainability and knowledge sharing.

Requirements

• 4+ years of experience in data engineering, with a strong focus on cloud-based data solutions.
• Advanced expertise in AWS services, particularly RDS, EKS, and Glue, with hands-on experience in deployment and optimization.
• Proven experience designing and implementing Change Data Capture (CDC) mechanisms for real-time data updates.
• In-depth knowledge of Amazon MSK and Apache Kafka for real-time data synchronization and streaming applications.
• Hands-on experience building streaming and batch data pipelines using AWS Glue, Apache Spark, Amazon Kinesis, or similar tools.
• Strong understanding of relational data modeling, data integrity, and consistency principles, especially in the context of data migrations.
• Proficiency in at least one programming language (Python, Scala, or Java) for data pipeline development and scripting.
• Demonstrated ability to design and monitor resilient, fault-tolerant data pipelines with minimal downtime and data loss.
• Excellent problem-solving skills and attention to detail in a fast-paced environment

If you believe that your profile meets the above requirements and you are interested in joining our team, please apply with your CV in English.

Only short listed candidates will be contacted.By submitting your application, you acknowledge and consent to the data privacy policies of Condord EU.

You grant us use of your personal data for the purpose of validating your professional qualifications for the purposes of potential employment by Concord EU.