Security-Cleared Data Engineer — Remote UK

GCS; United Kingdom; Hybrid; GBP 60,000; Full time

Job summary

A global consultancy is seeking a Data Engineer to design and maintain scalable data pipelines, utilizing Azure and Databricks. This remote role offers a salary of £60,000 plus benefits and requires strong expertise in Python and ETL processes. The candidate should have 4-5 years of experience in data engineering and a solid understanding of data lifecycle management. Occasional office visits in the UK are expected. Join a dynamic team dedicated to delivering innovative data solutions.

Benefits

Benefits package

Qualifications

• Strong experience with Azure cloud services and Databricks.
• Solid understanding of the end to end data lifecycle, from ingestion to consumption.
• Proficiency in Python for data engineering and automation.
• Hands on experience building ETL/ELT pipelines in production environments.
• 4-5 years working in data engineering, data consulting, or a similar technical role.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure and Databricks.
• Develop robust ETL/ELT processes to support analytics, reporting, and AI/ML workloads.
• Implement data models, transformation logic, and quality frameworks across the data lifecycle.
• Write clean, maintainable Python code for data engineering and automation tasks.
• Work with Delta Lake and modern lakehouse patterns to optimise data storage and performance.
• Contribute to CI/CD and DataOps practices to improve deployment reliability and workflow efficiency.
• Collaborate with clients to understand requirements, propose solutions, and deliver technical outcomes.
• Support best practice data governance, documentation, and platform standards.

Job description

A global consultancy is seeking a Data Engineer to design and maintain scalable data pipelines, utilizing Azure and Databricks. This remote role offers a salary of £60,000 plus benefits and requires strong expertise in Python and ETL processes. The candidate should have 4-5 years of experience in data engineering and a solid understanding of data lifecycle management. Occasional office visits in the UK are expected. Join a dynamic team dedicated to delivering innovative data solutions.