

Data Science Talent
Senior Data Engineer - Financial Services
⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Swindon, England, United Kingdom
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🧠 - Skills detailed
#Terraform #Cloud #DevOps #SQL (Structured Query Language) #Azure cloud #SQL Queries #Python #Synapse #Data Engineering #Databricks #"ETL (Extract #Transform #Load)" #Data Management #Azure #Data Lake #Data Quality #Migration #Spark (Apache Spark) #Data Governance #Leadership #PySpark #Infrastructure as Code (IaC)
Role description
Senior Data Engineer
Financial Services | 2 days per week onsite (Swindon)
6 Month Contract (starting ASAP)
—
Shape a greenfield data platform from day one, setting the standards for architecture, engineering and governance that will guide a major financial services organisation for years to come. You’ll define how data is designed, delivered and used - while steering the migration to Databricks and mentoring teams to raise their technical game.
This is a rare chance to take real ownership: you’ll make hands-on technical decisions, ensure third-party delivery, and establish best practices that become the blueprint for a large-scale transformation. The impact of your work will be felt not just across engineering but at the board level - unlocking data to drive smarter decisions across the business.
—
THE JOB
This is a large-scale data transformation. You’ll own the migration of the existing data lake into Databricks while helping them develop new capabilities in data governance, data quality and data management.
You'll take ownership of the platform migration and assurance, leading the migration of the existing data lake into Databricks. You'll ensure engineering quality from third-party suppliers and contribute hands-on to coding, pipeline development and modelling of core data entities.
You'll also support configuration, testing frameworks, and knowledge transfer into their architecture and engineering teams with implementation-driven design.
In addition, you'll support the existing data engineering team with business-as-usual tasks (SQL queries, Synapse analytics, pipeline maintenance) that include introducing best practices.
You’ll also be mentoring in coding, testing, and DevOps and collaborating with the Software Delivery Manager and Data Engineering leadership.
WHAT YOU’LL NEED
Hands-on Databricks experience
Strong Azure Cloud knowledge
Proficient in SQL, Python & PySpark
ETL & pipeline design
Practical data modelling & pipeline architecture
Experience working in highly regulated data environments, ideally within financial services like wealth management, investment platforms, or similar
A BONUS IF YOU HAVE
Terraform or Bicep for Infrastructure as Code
—
Please click the ‘Apply’ button to find out more
Senior Data Engineer
Financial Services | 2 days per week onsite (Swindon)
6 Month Contract (starting ASAP)
—
Shape a greenfield data platform from day one, setting the standards for architecture, engineering and governance that will guide a major financial services organisation for years to come. You’ll define how data is designed, delivered and used - while steering the migration to Databricks and mentoring teams to raise their technical game.
This is a rare chance to take real ownership: you’ll make hands-on technical decisions, ensure third-party delivery, and establish best practices that become the blueprint for a large-scale transformation. The impact of your work will be felt not just across engineering but at the board level - unlocking data to drive smarter decisions across the business.
—
THE JOB
This is a large-scale data transformation. You’ll own the migration of the existing data lake into Databricks while helping them develop new capabilities in data governance, data quality and data management.
You'll take ownership of the platform migration and assurance, leading the migration of the existing data lake into Databricks. You'll ensure engineering quality from third-party suppliers and contribute hands-on to coding, pipeline development and modelling of core data entities.
You'll also support configuration, testing frameworks, and knowledge transfer into their architecture and engineering teams with implementation-driven design.
In addition, you'll support the existing data engineering team with business-as-usual tasks (SQL queries, Synapse analytics, pipeline maintenance) that include introducing best practices.
You’ll also be mentoring in coding, testing, and DevOps and collaborating with the Software Delivery Manager and Data Engineering leadership.
WHAT YOU’LL NEED
Hands-on Databricks experience
Strong Azure Cloud knowledge
Proficient in SQL, Python & PySpark
ETL & pipeline design
Practical data modelling & pipeline architecture
Experience working in highly regulated data environments, ideally within financial services like wealth management, investment platforms, or similar
A BONUS IF YOU HAVE
Terraform or Bicep for Infrastructure as Code
—
Please click the ‘Apply’ button to find out more






