Hybrid Data Engineer — ETL, SQL & Dashboards for Impact

DWP Digital; Leeds; Hybrid; GBP 38,000 - 40,000; Full time

Benefits offered by this job

Hybrid model

Civil service pension with employer 28

Holidays 24-31 days

Career development & mentoring

Job summary

DWP Digital is seeking a Data Engineer to join our Debt Solutions team and help shape the future of data at DWP. You'll design, build and maintain data products that support analytics, business intelligence and operational decision-making across Debt Solutions.

Working in a multidisciplinary agile team, you'll transform critical business data into trusted insights, supporting systems that recover around £3 billion of debt annually while protecting vulnerable citizens.

Qualifications

• Experience developing PySpark workflows within AWS environments.
• Knowledge of AWS Lambda and event-driven solutions to support automated data processing.
• Experience provisioning and supporting cloud infrastructure using Amazon EC2 and automation tools.
• Understanding of Agile ways of working and experience contributing to CI/CD delivery practices.
• Ability to optimise data processing, storage, and queries to improve performance and data quality.

Responsibilities

• Design, build and maintain data products that support analytics, BI and operational decision-making.
• Develop and operate ETL pipelines in cloud-based environments, integrating diverse data sources.
• Create reusable, production-ready SQL-based solutions and dashboards for stakeholders.
• Collaborate with senior colleagues to deliver insights at scale in a multidisciplinary agile team.

Skills

PySpark

AWS Lambda

EC2

CI/CD

Data optimisation

Tools

AWS

CI/CD tooling

SQL

Job description

DWP Digital is seeking a Data Engineer to join our Debt Solutions team and help shape the future of data at DWP. You'll design, build and maintain data products that support analytics, business intelligence and operational decision-making across Debt Solutions.

Working in a multidisciplinary agile team, you'll transform critical business data into trusted insights, supporting systems that recover around £3 billion of debt annually while protecting vulnerable citizens.