Senior Data Engineer

Senior Data Engineer

• Industry: Online Food Delivery / Technology
• Location: Poland / Eastern Europe
• Work model: Fully Remote
• Seniority: Senior / Lead
• Employment type: B2B / Contract
• Rate: Up to €350/dayProject: Long-term opportunity
• About the ClientOur client is a leading global online food delivery company headquartered in Amsterdam, operating at a large international scale and building innovative technology and data solutions.

About the RoleWe are looking for a Senior Data Engineer to join a lean, fast-moving platform team building a new Data Mesh platform on AWS.

The company is moving from a traditional model, where central data teams owned the data, towards a decentralized approach where product engineering teams own the data they produce and consume. This is both a technical and cultural transformation.

You will play a key role in making this transition happen by building the first wave of data products, onboarding data from legacy warehouses, and working closely with product engineering teams to help them design, own and operate their own data products.

This is a hands-on engineering role with a strong enablement component. You will not only build pipelines and data products but also work closely with other engineering teams through collaboration, pairing, technical guidance and knowledge sharing.

What You Will DoDesign and build consumable data assets / data products (CDAs) on the AWS data platform

• Define schemas, documentation and ownership for data products and support their handover to the relevant product teams
• Work closely with product engineering teams to define data contracts and establish domain ownership
• Help teams understand how their data fits into the wider data landscape
• Onboard bronze and silver layer data from existing data warehouses using internal tooling
• Contribute to the development of tooling that accelerates data platform adoption
• Build streaming and batch pipelines using Apache Flink, Kafka, Iceberg and DynamoDB on AWS
• Work with Flink SQL and Python/PyFlink
• Help engineering teams troubleshoot pipeline and batch processing issues
• Promote data engineering best practices across the platformAct as a bridge between different teams and divisions
• Support other engineers through pairing, code reviews and practical technical guidance
• Take ownership of technical initiatives and drive them from concept through delivery
• Requirements
• Must-have
• Strong background in Data Engineering, working with large-scale data platforms and big data workloads
• Hands-on experience with stream processing and event-driven architectures
• Good understanding of schema management
• Strong experience with both batch and streaming data processing
• Streaming should be one of your key strengths
• Practical experience with AWS
• Experience working with technologies such as Kafka, Iceberg and/or DynamoDB, as well as core AWS services
• Experience with Apache Flink, particularly Flink SQL and/or PyFlink
• Ability to become productive with new technologies quickly
• Strong communication and stakeholder management skills
• Confidence working directly with product and engineering teams
• Experience working at Lead Engineer / Senior Engineer level
• Ability to set technical direction and take ownership of work end-to-end
• Strong problem-solving and analytical skills
• Fluent English, both written and spokenNice to Have
• Experience with AI-assisted engineering and agentic tooling, particularly in data onboarding, tooling or pipeline development
• Knowledge of Data Mesh concepts, including:

Data products

• Data contracts
• Domain ownership
• Federated governance
• Basic understanding of Kubernetes
• Experience working in a data platform enablement or internal developer experience role
• Experience in high-volume operational or transactional environments where both data volume and latency are important
• What We Offer
• Fully remote workRate of up to €350/day
• Opportunity to work on a modern AWS-based Data Mesh platform
• International environment and collaboration with experienced engineers
• Challenging projects involving streaming, big data and distributed systems
• High level of technical ownership and influence
• Opportunity to work with modern technologies including Flink, Kafka, Iceberg, DynamoDB and AWS
• Potential for long-term cooperation
• Interested?

If you are a Senior Data Engineer with strong streaming and AWS experience and this opportunity sounds like a good fit, please apply. We’d be happy to hear from you!