

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
-
💰 - Day rate
900
-
🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - 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
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






