

WRK digital
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 9-month contract, paying £575/day, remote with monthly office visits in Leeds or York. Key skills include Microsoft Fabric, Python, ETL/ELT processes, and experience in AWS, Azure, or GCP environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
600
-
🗓️ - Date
March 3, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Mart #"ETL (Extract #Transform #Load)" #Azure #AWS (Amazon Web Services) #Metadata #Data Catalog #Data Lineage #Database Design #Python #Synapse #Datasets #Data Governance #Leadership #Data Engineering #Scala #Data Architecture #Data Pipeline #Security #Data Quality #Cloud #GCP (Google Cloud Platform) #Strategy
Role description
Senior Data Engineer
Contract Length: 9 months
Outside IR35
Day Rate: £575/day
Department: IT – Data & Analytics
Location: Remote (Leeds or York office once per month)
Reporting to: Lead Data Platform Engineer
About the Role
An established and forward-thinking UK organisation has recently invested in a modern Microsoft Fabric Data Platform and is undertaking a major transformation of its data landscape.
We are seeking an experienced Senior Data Engineer to play a key role in migrating priority data sources from legacy tools into a scalable, cloud-based data platform. This includes ingesting and transforming high-value operational and commercial datasets such as train movements, ticketing, revenue, passenger data, and customer feedback.
You will design, build and optimise robust data pipelines, ensure high data quality standards, and enable analytics teams to deliver trusted insight across the business.
This is an opportunity to work at scale, influence data architecture, and support a data-driven culture across a complex operational environment.
Key Responsibilities
Technical Leadership
• Execute the organisation’s data engineering strategy aligned to wider business objectives.
• Act as technical lead for data engineers, providing mentorship and code review.
• Collaborate with IT leadership and business stakeholders to deliver high-value data solutions.
• Stay current with emerging data technologies and recommend innovation opportunities.
Data Pipeline Development
• Design, develop and maintain scalable ingestion and transformation pipelines.
• Implement ETL/ELT processes using modern cloud technologies.
• Optimise reliability, performance and scalability of data workflows.
• Ensure all builds are documented and aligned to the enterprise data model.
Data Infrastructure & Architecture
• Support the design and maintenance of secure, scalable data platforms and warehouses.
• Shape data marts for business-wide reporting and analytics.
• Maintain data lineage and ensure integrity between lakehouse structures and logical models.
• Keep data dictionaries and metadata repositories current and fully referenced.
Skills & Experience
Essential:
• Significant experience in data engineering roles within complex environments.
• Strong expertise in modern cloud data platforms (Microsoft Fabric or equivalent).
• Hands-on experience with Python and data engineering tools (e.g. Synapse or similar).
• Deep understanding of data architecture, modelling, ETL/ELT processes and database design.
• Experience working within AWS, Azure or GCP environments.
• Knowledge of data governance, data catalogues and security best practices.
• Strong stakeholder engagement, communication and problem-solving skills.
Why Apply?
This is an opportunity to join a major digital transformation programme within a large operational organisation. You will work with modern technologies, influence platform design, and enable impactful, data-led decision-making at scale.
If you are passionate about building reliable, high-quality data infrastructure and leading by technical example, we would love to hear from you.
Senior Data Engineer
Contract Length: 9 months
Outside IR35
Day Rate: £575/day
Department: IT – Data & Analytics
Location: Remote (Leeds or York office once per month)
Reporting to: Lead Data Platform Engineer
About the Role
An established and forward-thinking UK organisation has recently invested in a modern Microsoft Fabric Data Platform and is undertaking a major transformation of its data landscape.
We are seeking an experienced Senior Data Engineer to play a key role in migrating priority data sources from legacy tools into a scalable, cloud-based data platform. This includes ingesting and transforming high-value operational and commercial datasets such as train movements, ticketing, revenue, passenger data, and customer feedback.
You will design, build and optimise robust data pipelines, ensure high data quality standards, and enable analytics teams to deliver trusted insight across the business.
This is an opportunity to work at scale, influence data architecture, and support a data-driven culture across a complex operational environment.
Key Responsibilities
Technical Leadership
• Execute the organisation’s data engineering strategy aligned to wider business objectives.
• Act as technical lead for data engineers, providing mentorship and code review.
• Collaborate with IT leadership and business stakeholders to deliver high-value data solutions.
• Stay current with emerging data technologies and recommend innovation opportunities.
Data Pipeline Development
• Design, develop and maintain scalable ingestion and transformation pipelines.
• Implement ETL/ELT processes using modern cloud technologies.
• Optimise reliability, performance and scalability of data workflows.
• Ensure all builds are documented and aligned to the enterprise data model.
Data Infrastructure & Architecture
• Support the design and maintenance of secure, scalable data platforms and warehouses.
• Shape data marts for business-wide reporting and analytics.
• Maintain data lineage and ensure integrity between lakehouse structures and logical models.
• Keep data dictionaries and metadata repositories current and fully referenced.
Skills & Experience
Essential:
• Significant experience in data engineering roles within complex environments.
• Strong expertise in modern cloud data platforms (Microsoft Fabric or equivalent).
• Hands-on experience with Python and data engineering tools (e.g. Synapse or similar).
• Deep understanding of data architecture, modelling, ETL/ELT processes and database design.
• Experience working within AWS, Azure or GCP environments.
• Knowledge of data governance, data catalogues and security best practices.
• Strong stakeholder engagement, communication and problem-solving skills.
Why Apply?
This is an opportunity to join a major digital transformation programme within a large operational organisation. You will work with modern technologies, influence platform design, and enable impactful, data-led decision-making at scale.
If you are passionate about building reliable, high-quality data infrastructure and leading by technical example, we would love to hear from you.






