Data Engineer

Eden Scott; Glasgow; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading recruitment firm in the UK is seeking an experienced Data Engineer for a hybrid role in Glasgow. You will design and optimise data pipelines as part of a skilled team working with cutting-edge Azure technologies. Applicants must have hands-on expertise in Azure Synapse Analytics and ETL processes. The contract offers competitive pay and long-term stability until March 2026.

Qualifications

• Hands-on expertise in Azure Synapse Analytics.
• Experience with ETL processes and PySpark.
• Advanced skills in SQL and data modelling.

Responsibilities

• Design, build, and optimise data pipelines.
• Work on large-scale data transformation projects.
• Identify and resolve issues in databases and data processes.

Skills

Azure Synapse Analytics

ETL processes

PySpark

SQL (advanced querying and optimisation)

Data Modelling

Azure Databricks

Azure Data Lakes

T-SQL

Python

Job description

Contract Opportunity: Data Engineers (Inside IR35)

Please only apply if you hold current SC Clearance (mandatory for this role)

Until March 2026 | £650-£750/day | Hybrid (1 day per week in Glasgow)

Opportunity for an experienced Data Engineer to join a high-impact programme delivering enterprise-scale data solutions.

This is a fantastic opportunity to work with cutting-edge Azure technologies in a collaborative, forward-thinking environment.

Role Overview

As a Data Engineer, you'll play a key role in designing, building, and optimising data pipelines and models that power critical business insights. You'll be part of a skilled team working on large-scale data transformation projects.

Essential Skills & Experience

To hit the ground running, you'll need hands-on expertise in:

• Azure Synapse Analytics
• ETL (Extract, Transform, Load) processes
• PySpark
• SQL (advanced querying and optimisation)
• Data Modelling (conceptual, logical, and physical)
• Azure Databricks
• Experience of working with Azure Data Lakes, Data Warehousing, pipelines and Storage accounts

• Experience in building and managing Pipelines including:
• building data interfaces to source systems
• combining and transforming data into appropriate storage formats
• engineering data sets for analytics purposes
• developing automated and robust pipelines with error handling

• Experience identifying and resolving issues in databases, data processes, data products and services.

• Proficiency in T-SQL and Python to develop automation

This is a brilliant opportunity to contribute to a major data-driven initiative with long-term stability and a competitive day rate. If you're a proactive, detail-oriented engineer with a passion for data, we'd love to hear from you.

Apply now or get in touch for more information.