

twentyAI
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis in Central London, outside IR35, offering up to £600/day. Key skills include Python, SQL, and cloud data services. Experience with big data and commodities/trading is a plus.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #Datasets #Azure #Data Pipeline #PySpark #ADF (Azure Data Factory) #DevOps #Spark SQL #Jenkins #Big Data #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Databricks #SQL (Structured Query Language) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #ML (Machine Learning) #Data Engineering #Azure DevOps #AI (Artificial Intelligence) #Python #Data Lake #Synapse #Azure Data Factory #BI (Business Intelligence) #Pandas #Data Science
Role description
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
• 2-33 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.
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
• 2-33 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.






