Senior Data Engineer - SQL, Python & Databricks - Remote Contract

GL Global

United Kingdom

Remote

GBP 60,000 - 90,000

Full time

3 days ago
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Job summary

GL Global Limited seeks experienced Data Engineers to join a new team build for a global energy organisation, focused on large-scale data pipelines, cloud platforms and business-critical data solutions.

Strong SQL and Python skills are essential, with hands-on Databricks experience and the ability to build, optimise and troubleshoot production data pipelines.

Qualifications

  • Strong SQL and Python skills are essential.
  • Hands-on Databricks experience required.
  • Ability to build, optimise and troubleshoot production data pipelines.
  • Experience with ETL/ELT and workflow orchestration.

Responsibilities

  • Develop and optimise data pipelines using SQL, Python, PySpark and Databricks.
  • Build scalable ETL/ELT processes and reliable data models.
  • Improve data quality, reconciliation and pipeline performance.
  • Troubleshoot production issues and support cloud migration and system integration.
  • Contribute to code reviews, automated testing and CI/CD.

Skills

SQL
Python
PySpark
Data pipelines
CI/CD

Education

BSc in Computer Science, Software Engineering or related discipline

Tools

Databricks
Git
Azure DevOps

Job description

New Team Build / Global Energy Organisation

We’re looking for experienced Data Engineers to join a new team build for a global energy organisation, working on large-scale data pipelines, cloud platforms and business-critical data solutions.

Strong SQL and Python skills are essential, alongside hands-on Databricks experience and the ability to build, optimise and troubleshoot production data pipelines.

Key Responsibilities
  • Develop and optimise data pipelines using SQL, Python, PySpark and Databricks.
  • Build scalable ETL/ELT processes and reliable data models.
  • Improve data quality, reconciliation and pipeline performance.
  • Troubleshoot production issues and support cloud migration and system integration.
  • Contribute to code reviews, automated testing and CI/CD.
  • BSc in Computer Science, Software Engineering or a related discipline.
  • Advanced SQL and strong Python programming.
  • Hands-on Databricks and PySpark experience.
  • Data engineering, ETL/ELT and workflow orchestration.
  • Production troubleshooting and data-quality controls.
  • Git, Azure DevOps, CI/CD and automated testing.
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