What You'll Be Doing

• Design, build and optimise complex data pipelines and data products across the enterprise data platform.
• Lead the implementation of data ingestion, transformation and processing solutions (batch, micro-batch, streaming where required).
• Translate architectural designs into scalable, production-ready engineering solutions.
• Ensure solutions are high-performing, resilient, secure and aligned to data platform standards.
• Take ownership of end-to-end delivery of key engineering components or workstreams.
• Mentor and support Data Engineers, promoting best practices in coding, testing and deployment.
• Contribute to and evolve engineering standards, reusable frameworks and design patterns.
• Support the integration of data from multiple sources.
• Collaborate with Data Architects, Technical Programme Managers and Project Managers to ensure successful delivery.
• Troubleshoot complex issues and act as a technical escalation point within the engineering team.
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Success in the role will be demonstrated through delivery of robust, scalable solutions, improved engineering practices, and strong technical leadership across the team

What We're Looking For

• Strong experience delivering data engineering solutions in modern cloud data platforms.
• Expert knowledge of SQL and data transformation techniques.
• Proven experience designing and building scalable, distributed data pipelines.
• Hands-on experience with cloud technologies (e.g. Azure, Databricks or equivalent).
• Strong understanding of data modelling and large-scale data processing.
• Experience working with structured and unstructured data across complex environments.
• Ability to lead technical delivery within teams and guide junior engineers.
• Strong problem-solving skills with a focus on performance and data quality.
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Desirable Experience

• Experience with Databricks, Spark, Python or Scala.
• Experience with Delta Lake / Lakehouse architectures.
• Familiarity with CI/CD pipelines, DevOps and automation practices.
• Exposure to data governance, security and data quality frameworks.
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Essential Skills

• Strong engineering mindset with focus on quality, scalability and reliability.
• Ability to design and deliver complex technical solutions.
• Mentoring and technical leadership capability.
• Structured problem solving and debugging.
• Strong collaboration and communication skills.
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Qualifications

• Third‑level qualification in IT, Computer Science, Engineering or a related discipline, or equivalent experience.