Russell Tobin
Data Engineer
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Data Engineer
Contract Details
- Contract: 4 months
- Location: UK - London
- Working Pattern: Hybrid
- Hours: 40 hours per week, Monday–Friday
- Contract Type: 4-month contract
Role Overview
We are looking for an experienced Data Engineer to join a high-performing Data Engineering team supporting large-scale data pipelines and analytical datasets. The successful candidate will be responsible for building, testing, maintaining and enhancing production data pipelines, working with large datasets and contributing to reliable, scalable data solutions. You will work closely with Data Engineers, Analysts and other technical stakeholders, taking ownership of defined engineering deliverables while following established engineering standards, development practices and architectural patterns. This is a hands-on Data Engineering role suited to someone with strong production pipeline experience who can work effectively within an established engineering team.
Key Responsibilities
- Build, test and maintain batch ETL/data pipelines for production datasets.
- Develop and implement changes to existing pipelines and data tables based on defined business and technical requirements.
- Perform data backfills, schema updates and pipeline enhancements.
- Write, optimise and troubleshoot SQL queries across large-scale datasets.
- Investigate and resolve data quality issues identified through monitoring, testing or stakeholder feedback.
- Develop and maintain data quality checks, tests and technical documentation.
- Use Python for data transformation, automation and pipeline orchestration.
- Work with distributed data processing/query technologies such as Spark, Presto, Hive or equivalent platforms.
- Use workflow orchestration tools such as Airflow or equivalent to manage data pipelines.
- Participate in code reviews and follow established Git/version-control practices.
- Follow defined deployment, release and change-management processes.
- Collaborate with Data Engineers, Analysts and Engineering stakeholders to clarify requirements and deliver assigned work.
- Produce prototypes or exploratory data analysis where required.
- Communicate progress, technical issues and blockers clearly through written updates and technical documentation.
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Required Skills & Experience
- 5+ years of professional experience in Data Engineering or a closely related discipline.
- Strong hands-on experience building and maintaining production data pipelines.
- Strong SQL skills, including working with and optimising queries against large datasets.
- Strong Python experience for data transformation, automation and pipeline development.
- Hands-on experience with a distributed query or processing engine, such as:
- Apache Spark
- Presto
- Hive
- Databricks
- or equivalent technology
- Experience with Airflow or a similar workflow orchestration/scheduling platform.
- Experience working with Git and code-review-based development workflows.
- Experience working within established engineering standards and production deployment processes.
- Bachelor's degree in Computer Science, Engineering or a related technical discipline, or equivalent practical experience.
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Nice to Have
- Experience with data modelling for analytical workloads, including dimensional or wide-table models.
- Experience with BI tools, dashboards or analytical reporting.
- Experience implementing data quality frameworks.
- Experience with pipeline monitoring and observability.
- Experience working with large-scale cloud data platforms.
- Experience working in a collaborative Agile/engineering environment.
What We're Looking For
The ideal candidate will be:
- A hands-on Data Engineer with strong production experience.
- Comfortable working with large-scale datasets.
- Strong in both SQL and Python.
- Experienced with distributed data technologies and workflow orchestration.
- Comfortable working within an existing engineering architecture rather than requiring ownership of the overall roadmap.
- Able to work independently on defined deliverables while escalating blockers appropriately.
- Comfortable participating in code reviews and following established engineering standards.
- Detail-oriented, particularly around data accuracy and quality.
- A clear communicator who can work effectively with Data Engineers, Analysts and other technical stakeholders.
Role Environment
You will join an established Data Engineering team working across large-scale data pipelines and datasets. The role involves collaborating with engineers and analysts across locations and contributing to defined production workstreams. You will have a named technical point of contact and will work within established team processes, standards and development practices.
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