Join a high-growth technology team scaling complex data systems. Design and maintain ETL/ELT pipelines using Python and Spark. Collaborate closely with technical leads to solve large-scale data challenges.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Join a high-growth technology team scaling complex data systems to meet increasing volume, performance and privacy demands ac ross the business globally.
This is a hands-on role for a Senior Data Engineer who thrives on building, optimising and owning production-grade data infrastructure. Clear documentation and strong engineering is valued on this team.
You’ll:
- design and maintain ETL/ELT pipelines using Python and Spark, working across Snowflake and AWS.
- strengthen CI/CD practices, improve observability, and ensure systems are reliable, performant and cost-efficient.
- collaborate closely with technical leads to solve large-scale data challenges, onboard new datasets, and evolve privacy-conscious data methodologies.
- The team is moving from Snowflake to Spark so you will do your own DevOps as they move to self-deployed systems.
- be comfortable turning ambiguity into structured execution and contributing meaningfully to architectural discussions.
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We’re looking for deep experience in distributed data systems, strong SQL and warehousing expertise, and confidence operating in containerised, cloud-native environments (Docker, Kubernetes, AWS).
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This is an opportunity to build and scale intelligent data infrastructure with real commercial impact.
This role can be based in Ireland or the UK and is fully-remote.
Salary: €£100-120k, bonus and full benefits
Get in touch today if you fit the above.
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