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Data Engineer

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Summary

Hybrid Belfast-based mid-level Data Engineer building ETL/ELT ingestion and egress pipelines, APIs, and React frontend features for a centralised enterprise data lake platform at a global insurance and financial services firm. Core stack is AWS, Python, and TypeScript, with observability tooling and Snowflake as a bonus.

Data Engineer AWS, Python, TypeScript, ETL | Hybrid, Belfast


At a Glance

  • Mid-level Data Engineer role within a growing enterprise data lake platform team
  • Core stack: AWS, TypeScript, Python, with ETL/ELT and API design
  • Hybrid working, Belfast
  • Salary up to £45,000
  • Genuine end-to-end scope: ingestion, egress, API design and React frontend contributions


About the Company

Our client is a major global insurance and financial services organisation building out a centralised, secure data lake platform to support its wider data strategy. The platform gives a holistic view of raw, curated and standardised data, and is designed to make it far easier for contributing and consuming teams across the business, including claims, underwriting and distribution, to access and use that data through strong automation.


The Role

You'll join the data lake team as a Data Engineer, building and maintaining ETL/ELT ingestion and egress patterns that reduce manual bottlenecks and free up engineering time for higher-value work. You'll design and implement APIs, contribute to React frontend work, collaborate closely on AWS cloud architecture, and help instrument the platform with strong observability. You'll also play a part in agreeing and promoting the right use of the data lake for both informational and operational purposes across the business.


Key Responsibilities

  • Design and build ETL/ELT ingestion and egress patterns for the data lake
  • Develop and maintain APIs supporting data platform consumers
  • Contribute to React frontend features used by data platform teams
  • Collaborate on AWS cloud architecture for the platform
  • Instrument pipelines and services with observability tooling
  • Standardise data structures to provide clear insights across business personas
  • Automate ingestion and consumption patterns to reduce manual bottlenecks
  • Work closely with contributing and consuming teams across the business
  • Support the correct use of the data lake for informational and operational needs
  • Collaborate with the wider data lake team as directed on platform priorities


What You'll Need

Essential:

  • Solid commercial experience with AWS, TypeScript and Python
  • Data engineering experience, ideally with ETL/ELT pipelines
  • Experience with API design and implementation
  • React frontend experience

Desirable / Nice to Have:

  • Experience with Snowflake
  • Experience with observability tooling
  • JavaScript experience


Why Apply?

  • Salary up to £45,000
  • Hybrid working model based in Belfast
  • End-to-end scope across ingestion, egress, API design and frontend work
  • Be part of a growing, strategic data lake platform, not a legacy maintenance role
  • Exposure to modern cloud and observability practices at scale
  • Direct impact on reducing bottlenecks and enabling higher-value engineering work


Next Steps

Interested in finding out more? Get in touch with Eve Geddis directly on LinkedIn or email to apply.

Skills:
Python AWS

Benefits:
Pension Fund Medical Aid / Health Care


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Skills

See also

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