Data Engineer
Remote | UK or EU timezone preferred
This is an opportunity to build high-impact pipelines, implement real-time streaming solutions, and collaborate cross-functionally across engineering, product, and analytics teams.
About the Role
As a Data Engineer, you'll play a key role in designing and maintaining robust data pipelines, streamlining data ingestion from multiple sources, and building scalable warehousing and lakehouse solutions. You'll also be involved in shaping the platform's event-driven architecture and implementing observability best practices to ensure reliability and traceability.
What You'll Do
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Design and build scalable data pipelines (ETL/ELT) for ingestion, transformation, and loading from a wide variety of structured and unstructured sources
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Develop solutions for real-time and event-driven data processing using modern streaming frameworks
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Build and maintain data warehouses and data lakes to support business intelligence and analytics use cases
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Work closely with engineering and product teams to gather requirements and translate them into data architecture and flows
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Implement observability, logging, and monitoring strategies to maintain performance, reliability, and traceability
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Improve developer and stakeholder experience through automation and tooling
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Document systems and data flows with clarity and precision
What You'll Bring
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5+ years in a Data Engineering or Software Engineering role with strong data focus
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Proficiency in Python and SQL, including performance tuning and data model design
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Hands-on experience with AWS (Lambda, S3, RDS, CloudWatch) and Snowflake
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Familiarity with orchestration tools like Airflow, AWS Step Functions, or similar
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Experience with distributed data processing (e.g. Spark, Kafka, Flink) and event-driven architectures
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Strong understanding of data observability and pipeline reliability principles
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Clear communicator with strong documentation and diagramming skills
Bonus Points For
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Experience with AWS Glue, DBT, or similar transformation tools
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API development for data serving and integration
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Hands-on knowledge of serverless data processing and pipeline-as-code
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Monitoring with tools like Honeycomb, CloudWatch, Datadog, or OpenTelemetry
You'll Thrive If You Are
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Someone who prefers momentum over perfection, building small wins that lead to big impact
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Always questioning the status quo and suggesting ways to improve systems
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Motivated to reduce friction and resolve technical debt
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Collaborative, empathetic, and driven to create value for customers and colleagues alike
If you're passionate about high-performance data systems, working cross-functionally, and contributing to a modern, scalable platform this could be the perfect fit.
If you would like to apply to this role via the link below. Or reach out to Ryan Quinn directly on LinkedIN.