Data Engineer
Role details
Job location
Tech stack
Job description
As a Data Engineer within Group IT, you will play a pivotal role in transforming raw data into meaningful insights that drive strategic decision-making and operational efficiency. You'll be at the forefront of designing, implementing, and maintaining robust data systems that support key business objectives. This role offers the opportunity to contribute to high-impact strategic projects, collaborate with cross-functional teams across the organisation, and help shape the future of data engineering practices within the business., * Design, develop, and maintain scalable data pipelines and architectures for data collection, integration, and transformation from multiple sources.
- Implement processes and systems to monitor data quality, ensuring consistency, completeness, and accuracy of data assets.
- Optimise and troubleshoot data systems for performance, reliability, and scalability.
- Collaborate with the wider Group IT team and key stakeholders to deliver data solutions that meet business requirements.
- Manage and administer relational and non-relational databases, data lakes, and cloud data storage solutions.
- Develop and maintain ETL (Extract, Transform, Load) workflows and ensure all processes adhere to data governance and security policies.
- Document database structures, data flows, and processes for internal use and technical audits.
- Automate repetitive data tasks and standardise practices to improve team productivity and data reliability.
- Support data migration, integration, and cleansing activities during system upgrades or transitions.
- Stay current with emerging data engineering trends, technologies, and best practices.
- Create and maintain conceptual and logical data models in Unified Modelling Language (UML).
- Create and maintain business process flowcharts in BPMN2.0 notation
- Contribute to internal knowledge sharing and documentation practices.
- Participate in change management processes and ensure compliance with data protection regulations (e.g., GDPR).
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
- Proven experience in data engineering, database development, or a related field.
- Intermediate to Advanced in Microsoft Excel and Power BI.
- Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite).
- Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc.)
- Experience with at least one programming language such as Python, Java, or Scala.
- Familiarity with ETL frameworks and tools
- Expertise in data modelling, data warehousing concepts, and techniques.
- Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services.
- Understanding of data governance, privacy, and security best practices and compliance requirements (e.g., GDPR).
- Excellent problem-solving skills and the ability to troubleshoot complex data challenges.
- Strong communication skills for technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, team-oriented environment
- Eagerness to learn new skills and continuously improve.
- Enthusiasm for working smarter using data and technology.