Data Engineer

Overview:

We are seeking an experienced Data Engineer to join a large-scale program for an initial 3-month contract. The role will focus on building and optimising data pipelines in an Azure environment, working closely with technical teams to deliver efficient, high-quality data solutions.

Responsibilities:

• Design, build, and maintain ETL pipelines using Databricks and Spark SQL
• Develop and optimise SQL queries for large-scale data transformation and performance
• Extract and load data from source systems into Azure-based data warehouses and downstream platforms
• Collaborate with data and integration teams to align data flows and resolve issues
• Ensure data pipelines are reliable, efficient, and well-documented
• Support testing, troubleshooting, and performance tuning activities

Key Skills and Experience:

• Proven experience as a Data Engineer or similar role in a cloud environment
• Strong expertise in Databricks and Spark SQL, including joins and query optimisation
• Hands-on experience with ETL development and pipeline orchestration (Azure Data Factory desirable)
• Solid SQL skills and ability to work with large datasets
• Familiarity with Azure data services (Data Lake, Synapse, D365 exposure a bonus)
• Strong problem-solving skills and ability to work collaboratively within cross-functional teams

Interested candidates who meet the required skillset of the role are encouraged to apply via the link with an updated resume. Reference BIHI 113260

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting