Data Engineer

Role Overview

We are looking for a skilled and motivated Mid-Level Data Engineer to design, build, and maintain reliable, efficient, and scalable data platforms and pipelines. You will play a key role in supporting analytics and business intelligence by ensuring high-quality data ingestion, transformation, and availability, primarily within an Azure Databricks environment.

What You Will Do

Design, develop, and maintain ETL and ELT pipelines. Write efficient, maintainable Python code using industry-standard libraries, PySpark, and Spark. Build and manage data ingestion integrations, including APIs and Databricks Lakeflow Connect.

Why It Might Be a Fit

You will work closely with the Data and Reporting Manager, Data Analysts, wider IT teams, and external stakeholders. You will have opportunities for continuous improvement and innovation, and you will be able to maintain a robust, secure, and cost-efficient data platform.

Requirements

• SQL proficiency
• Programming Skills (Python)
• Database and Data Modelling
• ETL/ELT pipeline knowledge
• Cloud and modern data tools (Databricks)

Benefits

• 25 days of paid leave a year rising to 30 plus bank holidays with service
• 5% Airband pension plus a minimum 3% employee contribution
• Customer referral bonus
• Hybrid working
• Free Broadband
• 20% off monthly line rental on EE’s phone, tablet, SIM only or mobile broadband plans
• Cycle to work, Tech scheme, Healthcare and medical insurance
• Dental care, and Health cash fund (dependent on the length of service)
• Airshare (employee discount platform)
• Refer a friend reward scheme