Data Engineer

• Design, build, support and maintain scalable, secure data pipelines and integrations across the organisation's data estate
• Develop and maintain data models, ETL/ELT pipelines and analytics solutions using Azure Synapse Analytics, Snowflake, Power BI and related tooling
• Own the quality, performance and ongoing support of delivered data solutions, including legacy data integrations
• Champion responsible use of AI-assisted tooling such as GitHub Copilot and Claude to improve delivery speed, quality and efficiency
• Collaborate with Development, Cloud and Security engineering teams to deliver secure and reliable data solutions
• Troubleshoot and resolve complex data quality, performance and integration issues across modern and legacy platforms
• Maintain existing legacy integrations and plan their modernisation where appropriate
• Build and maintain Power BI dashboards, reports and self-service analytics for business stakeholders
• Translate business data and reporting requirements into technical solutions
• Apply security, governance, privacy and compliance requirements to data solutions
• Contribute to data architecture, standards and best practices
• Estimate time and effort for data engineering tasks and projects
• Partner with Cloud and Development teams to scale data platforms within cloud infrastructure
• Take on additional reasonable tasks aligned with abilities when required

• Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field, or equivalent professional experience
• 5+ years of experience in data engineering, data warehousing or business intelligence roles
• Strong hands-on experience with Snowflake or an equivalent cloud data warehouse platform
• Strong hands-on experience with Power BI, including data modelling, DAX and report/dashboard development
• Experience building and maintaining ETL/ELT pipelines and data integrations, including legacy systems
• Practical experience using AI-assisted tooling such as GitHub Copilot and Claude
• Strong SQL skills and experience with data modelling, dimensional modelling and star schemas
• Experience with cloud platforms such as Azure, AWS or GCP and cloud-native data services
• Understanding of data governance, data quality and data security principles
• Experience working closely with Development, Cloud and Security engineering teams in a cross-functional environment
• Experience with Azure Synapse Analytics is desirable
• GxP, GCP and/or TMF knowledge preferred but not mandatory
• Strong problem-solving and complex data issue diagnosis skills
• Strong communication skills and ability to translate technical data concepts for non-technical stakeholders
• Fluent oral and written communication
• Strong working knowledge of data tooling and platforms, including Snowflake and Power BI
• Bachelor's degree in computer science, data engineering, information systems, software engineering or a related field, or equivalent experience required
• 2+ years of experience in data engineering involving ingestion, transformation, modeling and pipeline operations across multiple data sources or a related field
• Certifications in cloud fundamentals or data engineering preferred

• Full-time employment
• Benefit offerings aligned to local market practice; eligibility and effective dates may vary by country and collective bargaining coverage
• Reasonable accommodations during the employment process