Data Engineer

In this role you deliver analytical leadership across the data ecosystem, designing and maintaining data products and architectural changes to support business outcomes. You will build scalable ETL pipelines, create actionable Power BI dashboards, and contribute to data mesh governance and data quality initiatives. You collaborate with stakeholders to ensure data is discoverable, reusable, and trusted, enabling informed decisions and performance improvements. This position blends technical execution with strategic data stewardship in a hybrid, cross-functional setting.

• hybrid working model
• flexible working
• inclusive workplace
• merit-based appointments
• reasonable adjustments during recruitment
• support for candidates with impairment

• Develop and maintain ETL pipelines and data models for analytics and reporting platforms
• Design, build, and maintain data products for specific domains and use cases
• Conduct advanced data mining and manipulation, advising on architecture and data model changes
• Create Power BI dashboards and reports delivering actionable insights
• Set strategic roadmaps for information quality and governance of critical data
• Collaborate with business users to catalogue data lineage and develop data quality dashboards
• Ensure data consistency through cleaning, transformation, and validation processes
• Support data scientists and analysts with robust data solutions
• Build and maintain APIs for secure, scalable data exchange
• Develop and optimise data pipelines using Snowflake and big data tools (Databricks, Trino)
• Contribute to data mesh implementation and federated governance
• Leverage Data Fabric platforms (Promethium) to unify data access and governance
• Integrate and orchestrate data flows using MuleSoft and SnapLogic

• Strong experience in data mining, profiling, and manipulation of large datasets
• Proficiency in writing ETL code and implementing data quality rules
• Advanced Power BI skills (DAX, Power Query, data modelling, report design)
• Python, SQL, Azure Data Factory, Git, and DBT
• Experience with Snowflake and big data tooling (Databricks, Trino)
• API development and testing experience
• Experience deploying and managing data infrastructure in Microsoft Azure (Azure Data Lake, Synapse, Functions)
• Familiarity with data mesh concepts (domain ownership, federated governance)
• Experience in data governance (stewardship, policy implementation, metadata management)
• Knowledge of JIRA and agile delivery practices
• Effective communication translating complex data issues to diverse audiences

• Effective communication with diverse stakeholders
• Collaborative and cross-functional mindset
• Attention to detail and analytical thinking
• Python
• SQL
• Azure Data Factory