Data Engineer (SQL & Java)

Eden Scott United Kingdom
Remote
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AI Summary

Design, create, and maintain scalable data pipelines. Build and optimize database schemas, tables, and cloud-native workflows. Work closely with BI, Finance, and Engineering teams.

Key Highlights
Design, create, and maintain scalable data pipelines
Build and optimize database schemas, tables, and cloud-native workflows
Work closely with BI, Finance, and Engineering teams
Key Responsibilities
Design, create, and maintain scalable data pipelines
Build and optimise database schemas, tables, and cloud-native workflows
Develop reliable ETL/ELT processes
Write and tune high-performance SQL across production systems
Transform and model data for analytics, reporting, and finance
Work closely with BI, Finance, and Engineering teams
Technical Skills Required
SQL Java Oracle PostgreSQL Airflow Airbyte SOAP/REST APIs Cloud object storage (S3, Blob, Oracle Bucket) Modern cloud data warehouses (Snowflake, Redshift) & DBT
Benefits & Perks
100% remote within the UK
Small, empowered teams with real ownership
Modern, outcome-driven engineering culture
Nice to Have
Groovy
Oracle systems or cloud experience
Automation/testing frameworks
CI/CD & version control best practices

Job Description


🚀 Data Engineer (SQL & Java) – Fully Remote (UK) | Global Fintech


Our client is building next‑generation data capabilities to power a merchant‑first ecosystem — and they are looking for a hands‑on Data Engineer with strong database fundamentals and production‑grade engineering experience.


If you enjoy designing databases (not just querying them), building scalable pipelines, and solving real-world data challenges, this role is tailor‑made for you.


💼 The Role

As a Data Engineer, you will:

  • Design, create, and maintain scalable data pipelines
  • Build and optimise database schemas, tables, and cloud‑native workflows
  • Develop reliable ETL/ELT processes
  • Write and tune high-performance SQL across production systems
  • Transform and model data for analytics, reporting, and finance
  • Work closely with BI, Finance, and Engineering teams
  • Own deliverables end‑to‑end in a fast‑moving fintech environment


⭐ Your Background


Essential (Primary Profile)


We are looking for someone with 1–3 years of hands-on experience who can demonstrate:

  • Solid database engineering experience:
  • Designing schemas
  • Creating databases and tables
  • Building database objects — not just querying
  • Advanced SQL, ideally on Oracle or PostgreSQL
  • Complex queries
  • Optimisation and performance tuning
  • Financial‑grade precision (8–10 decimal points)
  • At least 1 year of Java programming experience
  • Collections, streams, filters
  • Groovy experience is a bonus
  • Experience building and maintaining production data pipelines
  • Familiarity with orchestration tools (e.g., Airflow, Airbyte)
  • Exposure to SOAP/REST APIs and cloud object storage (S3, Blob, Oracle Bucket)
  • Experience with modern cloud data warehouses (Snowflake, Redshift) & DBT


Nice to Have

  • Oracle systems or cloud experience
  • Groovy
  • Automation/testing frameworks
  • CI/CD & version control best practices


⭐ Alternative Profile (Optional Fit)

If you don’t match the above but instead have:

  • 3–4 years as a Data Engineer,
  • Strong Airflow pipeline orchestration experience, and
  • Experience working within a fintech environment

…we still want to hear from you.


🌍 Why This Role?

  • 💻 100% remote within the UK
  • 🤝 Small, empowered teams with real ownership
  • ⚙️ Modern, outcome‑driven engineering culture
  • 📈 Opportunities to grow your technical depth and influence high-impact initiatives


Ready to Make an Impact?

Help shape the data foundation that powers a global fintech ecosystem.

👉 Apply now and join a truly global, forward‑thinking engineering team.


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