Harrington Starr

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 10+ years of experience, specializing in Python and Databricks, offering £700–£900 per day for a 6-month contract. Location is hybrid in London, requiring strong ETL, Spark, and SQL skills.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
900
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🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
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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
#Data Quality #Data Engineering #Databricks #ML (Machine Learning) #Delta Lake #PySpark #Python #Cloud #Monitoring #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Data Pipeline #Data Science #Datasets #Scala #Observability #SQL (Structured Query Language)
Role description
Senior Data Engineer – Python & Databricks £700–£900 per day Inside IR35 6-Month Contract + Extensions London – 3 Days per Week Hybrid A leading global banking organisation is scaling its enterprise data platform and investing significantly in modern cloud-based data engineering capabilities. They're seeking a Senior Data Engineer with strong Python and Databricks expertise to help design, build and optimise the next generation of data platforms supporting analytics, reporting and business-critical decision making. This role sits within a high-performing engineering team and offers the opportunity to work on large-scale data challenges, modern Lakehouse architectures and distributed processing environments. The Role This is a high-impact engineering position responsible for delivering scalable and robust data solutions across the organisation. You will: • Design and build scalable data pipelines using Python and Databricks • Develop and optimise ETL/ELT workflows using Spark and Delta Lake • Design modern Lakehouse architectures • Improve performance across large-scale distributed datasets • Partner with analytics and data science teams to enable advanced reporting and machine learning initiatives • Help drive data quality, governance and engineering standards • Mentor engineers and contribute to technical best practice across the function • Implement monitoring, observability and reliability frameworks across data services What We're Looking For • 10+ years of Data Engineering experience • Strong hands-on Python expertise • Commercial Databricks experience including Delta Lake • Strong Spark / PySpark knowledge • Experience delivering scalable ETL platforms • Strong SQL and cloud engineering experience • Data warehousing and Lakehouse architecture expertise • Experience working in enterprise-scale environments • Excellent stakeholder and communication skills Why This Role • Large-scale enterprise data platform programme • Significant engineering ownership • Modern Databricks and Lakehouse environment • Long-term contract potential with extensions • High-impact role within a globally recognised banking organisation To apply – click the link or email Barry.Ansell@HarringtonStarr.com for a faster response