Data Engineer
About The Position
On behalf of Department of Business and Trade, we are looking for a Data Engineer Inside IR35 for a 6 month contract based Hybrid London, Cardiff, Edinburgh, Belfast , Manchester, Birmingham, Darlington. As a Data Engineer, your main responsibilities will be: SC/DV Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks. Please note, due to the exceptional requirements of this position (short-term nature of this role and speed at which we require a postholder in situ) preference may be given to candidates who meet all of the essential criteria and hold active security clearance.
Requirements
- SC/DV Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks.
- Strong commercial experience as a Data Engineer
- Excellent knowledge of ETL/ELT pipeline development
- Strong Python and SQL skills
- Experience working with cloud-based data platforms
- Proven experience designing and building large-scale data solutions
- Experience integrating systems through APIs and data services
- Strong understanding of data quality, governance, and security principles
- Experience creating technical documentation and engineering standards
- Ability to work within complex transformation or migration programmes
- Strong stakeholder engagement and communication skills
- Ability to work independently within fast-paced delivery environments
- Experience translating business requirements into technical solutions
- A proactive and collaborative approach to problem-solving
- Strong analytical and documentation skills
Nice To Haves
- Experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake technologies
- Experience of large-scale data migration projects
- Knowledge of AI/ML data preparation and training pipelines
- Experience working within government, public sector, or highly regulated environments
- Familiarity with monitoring, observability, and operational reporting tools
Responsibilities
- Assess and define requirements for data engineering activities across the MoG programme
- Design and develop scalable ETL/ELT data pipelines
- Support the implementation and enhancement of data platform components
- Deliver and maintain data integrations and APIs
- Build and optimise AI data feeds and training data pipelines
- Improve and maintain data quality, validation, and trust frameworks
- Develop automation scripts to support engineering and operational processes
- Create monitoring solutions and operational dashboards
- Implement data security, governance, and compliance controls
- Produce high-quality technical documentation and reusable engineering assets
- Contribute to discovery activities, technical assessments, and effort estimation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
