Revolution Technology
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer starting January 2026 on a 1-year contract, hybrid (3 days onsite in London, 2 days remote), paying £545/day. Key skills include Databricks, Scala, Python, PySpark, and experience with ETL and data architecture.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
545
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🗓️ - Date
November 22, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#PySpark #Data Pipeline #ML (Machine Learning) #Delta Lake #Data Architecture #MLflow #Python #Scala #Spark (Apache Spark) #Data Processing #"ETL (Extract #Transform #Load)" #Databricks #Data Engineering
Role description
Data Engineer:
Jan 2026 start for an initial 1-year contract | Hybrid 3 days onsite (London, Liverpool Street) 2 days remote | £545pday (Inside IR35 Via Umbrella)
We are currently looking for a Data Engineer to join an exciting project. You will be turning data into insights, this is your opportunity to play a key role in shaping their data-driven future.
What were looking for :
• Proven hands-on experience with Databricks
• Strong proficiency in Scala, Python, and PySpark, with deep understanding of distributed data processing and ETL design.
• Understanding of modern data engineering practices, including event streaming, real-time analytics, Delta Lake, and data architecture optimisation.
• Exposure to MLflow and machine learning workflows, with experience integrating models into data pipelines or automating model lifecycle management.
Data Engineer:
Jan 2026 start for an initial 1-year contract | Hybrid 3 days onsite (London, Liverpool Street) 2 days remote | £545pday (Inside IR35 Via Umbrella)
We are currently looking for a Data Engineer to join an exciting project. You will be turning data into insights, this is your opportunity to play a key role in shaping their data-driven future.
What were looking for :
• Proven hands-on experience with Databricks
• Strong proficiency in Scala, Python, and PySpark, with deep understanding of distributed data processing and ETL design.
• Understanding of modern data engineering practices, including event streaming, real-time analytics, Delta Lake, and data architecture optimisation.
• Exposure to MLflow and machine learning workflows, with experience integrating models into data pipelines or automating model lifecycle management.
