Data Engineer

Description

• Stay current with emerging data engineering trends, technologies, and best practices.
• Participate in change management processes and ensure compliance with data protection regulations (e.g., GDPR).
• 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.
• 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.
• Document database structures, data flows, and processes for internal use and technical audits.
• Create and maintain conceptual and logical data models in Unified Modelling Language (UML).
• Optimise and troubleshoot data systems for performance, reliability, and scalability.
• Create and maintain business process flowcharts in BPMN2.0 notation
• Manage and administer relational and non-relational databases, data lakes, and cloud data storage solutions.
• Contribute to internal knowledge sharing and documentation practices.
• Collaborate with the wider Group IT team and key stakeholders to deliver data solutions that meet business requirements.
• Develop and maintain ETL (Extract, Transform, Load) workflows and ensure all processes adhere to data governance and security policies.

Requirements

• Proven experience in data engineering, database development, or a related field.
• Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc.)
• Strong communication skills for technical and non-technical audiences.
• Experience with at least one programming language such as Python, Java, or Scala.
• Intermediate to Advanced in Microsoft Excel and Power BI.
• Familiarity with ETL frameworks and tools
• Understanding of data governance, privacy, and security best practices and compliance requirements (e.g., GDPR).
• Expertise in data modelling, data warehousing concepts, and techniques.
• Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite).
• Enthusiasm for working smarter using data and technology.
• Ability to work independently and collaboratively in a fast-paced, team-oriented environment
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
• Excellent problem-solving skills and the ability to troubleshoot complex data challenges.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance