Burns Sheehan

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis in the Financial Services sector, offering £500 - £600 per day. Key skills include Snowflake, dbt, AWS, and strong SQL. Proven experience in data engineering and ETL tools is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
800
-
🗓️ - Date
May 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Matillion #Azure DevOps #Azure #Snowflake #AWS (Amazon Web Services) #Scala #SQL (Structured Query Language) #Cloud #DevOps #Informatica #Data Engineering #Leadership #dbt (data build tool) #Version Control #"ETL (Extract #Transform #Load)" #Fivetran #Data Warehouse #Data Pipeline
Role description
Senior Data Engineer — Contract | Financial Services | £500 - £600 per day -Snowflake/ DBT/AWS We're partnering with a leading Reinsurance company to find a Senior Data Engineer for a contract engagement within their Divisional Data Team. You'll play a central role in shaping and delivering the data engineering infrastructure that powers reporting and analytics across the business. The Role You'll work closely with technology and business stakeholders, owning the end-to-end design, implementation, and support of data pipelines and transformation workflows. Reporting into senior data engineering leadership, working on both hands-on technical delivery and the ability to help the team mature its practices. What You'll Be Doing • Designing and implementing scalable data pipelines and transformation workflows • Building and maintaining a modern cloud data warehouse environment • Working with stakeholders to translate functional requirements into robust technical designs • Driving code quality through peer reviews, testing, and best practice standards • Identifying and implementing improvements to existing systems and processes What We're Looking For • Strong, proven experience as a Data Engineer in a commercial setting • Solid SQL skills and hands-on experience with Snowflake • Clear working knowledge of dbt for data transformation • Experience with at least one ETL/ELT tool (e.g. Matillion, Fivetran, Glue, Informatica) • Familiarity with cloud platforms — AWS and/or Azure DevOps • Understanding of data modelling, orchestration, and data curation principles • Experience with CI/CD pipelines and version control • Strong communication skills — able to work across technical and non-technical stakeholders If of interest feel free to apply below!