A leading investment firm is looking for a Data Engineer to help design, develop, and maintain data platform technologies that support business operations and analytics. Youll collaborate with cross-functional teams including database administrators, BI analysts, solution architects, and software engineers to deliver robust data solutions.
This role offers exposure to modern data stacks, cloud platforms, and CI / CD tools, with the opportunity to work on meaningful projects that drive business insights and operational efficiency.
Key Responsibilities
- Design and maintain data architecture for client and business intelligence reporting
- Build and manage ETL / ELT pipelines for data extraction, transformation, and loading
- Ensure data quality and reliability through validation and performance monitoring
- Support BI analysts by troubleshooting data workflows and recommending solutions
Job Experience and Skills Required
Relevant bachelors degree or industry certification3+ years experience in designing, building, and maintaining data pipelines and architectureProven experience with modern data stack and big data technologiesExperience in the investment services industry is advantageousMS SQL, MS Fabric, Synapse, Databricks, SnowflakeETL tools such as Azure Data Factory, Power Query, DataflowsCloud platforms and CI / CD tools (Azure DevOps or similar)Python and Git proficiencyStrong understanding of data validation, performance optimisation, and release processesApply now!