£600 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The role of Contract Data Engineer involves working with a major energy trading company undergoing a digital transformation. The engineer will be responsible for building and maintaining data pipelines, tackling integration challenges, and collaborating with data scientists to enhance machine learning models. This position requires hands-on experience and a proactive approach to developing next-gen data infrastructure. The role is based in Central London with a hybrid working arrangement.
Key Responsibilities:
- Building, testing, and maintaining data pipelines across ETL and ELT workloads.
- Helping users navigate the big data platform, ingest new data, and debug issues.
- Tackling complex integration challenges across structured, semi-structured, and unstructured sources.
- Pre-processing, cleansing, and delivering high-quality data for advanced analytics and modelling.
- Working closely with data scientists to help scale ML and AI models.
- Developing BI dashboards and optimising pipelines and frameworks for performance.
- Owning requirements, design, build, and maintenance of end-to-end data solutions.
- Using CI/CD tooling like Azure DevOps or Jenkins and following solid engineering practices.
Key Skills:
- Strong hands-on experience with Python (including Pandas) and PySpark or similar distributed frameworks.
- Confident SQL across TSQL, ANSI SQL, Spark SQL.
- Real experience with cloud data services (Azure Data Factory, Databricks, Synapse, or equivalents on AWS/GCP).
- Ability to dive deep into datasets, understand structure, and communicate insights clearly.
- Experience working with structured and unstructured data at scale.
- Bonus points for data lakes, open-source data tooling, data warehousing, hybrid cloud, or experience in commodities/trading.
Salary (Rate): £600 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Contract Data Engineer – Central London – Outside IR35 – Up to £600/day
We’re partnering with a major energy trading player that’s in the middle of a multi-year digital transformation. They’re rebuilding their data stack from the ground up and need a sharp contract Data Engineer who can get hands-on fast and push things forward without hand-holding. Three days a week on site in Central London. You’ll be dropped straight into Stage One of a large Digitalisation Program, working in a team that’s building next-gen data infrastructure, pipelines, and AI/ML enablement tooling. If you’re the type who wants to shape real industrial systems rather than churn out toy projects, this is the right environment.
What you’ll be doing
- Building, testing, and maintaining data pipelines across ETL and ELT workloads.
- Helping users navigate the big data platform, ingest new data, and debug issues.
- Tackling complex integration challenges across structured, semi-structured, and unstructured sources.
- Pre-processing, cleansing, and delivering high-quality data for advanced analytics and modelling.
- Working closely with data scientists to help scale ML and AI models.
- Developing BI dashboards and optimising pipelines and frameworks for performance.
- Owning requirements, design, build, and maintenance of end-to-end data solutions.
- Using CI/CD tooling like Azure DevOps or Jenkins and following solid engineering practices.
What you need to bring
- Strong hands-on experience with Python (including Pandas) and PySpark or similar distributed frameworks.
- Confident SQL across TSQL, ANSI SQL, Spark SQL.
- Real experience with cloud data services (Azure Data Factory, Databricks, Synapse, or equivalents on AWS/GCP).
- Ability to dive deep into datasets, understand structure, and communicate insights clearly.
- Experience working with structured and unstructured data at scale.
- Bonus points for data lakes, open-source data tooling, data warehousing, hybrid cloud, or experience in commodities/trading.
Contract details
- Outside IR35
- Up to £600/day
- 3 days a week onsite in Central London
- Start ASAP
If you want to work on a genuinely forward-looking data program with real commercial impact, this is worth your time.