Data Engineer
Trust in SODA · London, UK ·
- Employment
- Contract
- Category
- Data engineering
- Experience
- 5+ years
Data Engineer
Location: London – Hybrid
Contract: 4 months
Start: ASAP
Rate: £260 - £350 per day PAYE + BONUS
Experience: 5+ years
We’re looking for an experienced Data Engineer to support a high-impact data engineering team, building and maintaining production data pipelines and datasets under the guidance of a dedicated engineering owner.
Key Responsibilities
This is a high-visibility role supporting critical products, offering the opportunity to work alongside an experienced data engineering team and contribute to products that impact millions of people.
Apply now for immediate consideration.
Location: London – Hybrid
Contract: 4 months
Start: ASAP
Rate: £260 - £350 per day PAYE + BONUS
Experience: 5+ years
We’re looking for an experienced Data Engineer to support a high-impact data engineering team, building and maintaining production data pipelines and datasets under the guidance of a dedicated engineering owner.
Key Responsibilities
- Build, test and maintain batch ETL pipelines.
- Develop and optimise SQL for large-scale datasets.
- Use Python for data transformation and pipeline orchestration.
- Implement pipeline changes, backfills and schema updates.
- Investigate and resolve data quality issues.
- Maintain data quality checks, testing and documentation.
- Work with distributed data technologies and workflow schedulers.
- Participate in code reviews and follow Git-based development practices.
- Collaborate with data engineers, analysts and engineering partners.
- 5+ years' experience building production data pipelines.
- Strong SQL, including performance tuning on large datasets.
- Strong Python for data transformation and orchestration.
- Experience with Presto, Spark, Hive or similar distributed query engines.
- Experience with Airflow or similar workflow schedulers.
- Comfortable working in a Git/code review-based environment.
- Bachelor's degree in Computer Science, Engineering or related field, or equivalent practical experience.
- Data modelling experience for analytics.
- BI/dashboard experience.
- Data quality frameworks and pipeline observability.
This is a high-visibility role supporting critical products, offering the opportunity to work alongside an experienced data engineering team and contribute to products that impact millions of people.
Apply now for immediate consideration.