Senior Data Engineer

Senior Data Engineer

We’re looking for an experienced Senior Data Engineer to join a team building large-scale, high-performance data systems. You’ll help shape how data is captured, processed, and delivered across the organisation—bringing fresh thinking, improving automation and reliability, and influencing future data platform initiatives.

This role is ideal for someone who thrives in data-heavy engineering environments and enjoys working closely with cross-functional teams to solve complex technical challenges.

• Design and develop scalable data models and workflows supporting a wide range of analytical and operational use cases.
• Lead the architecture and optimisation of the data warehouse and data access layers, enabling fast, reliable insight generation.
• Build and maintain robust, production-grade data pipelines across internal, external, and third-party data sources.
• Create scalable frameworks for data ingestion, transformation, quality checking, and validation.
• Drive best practices in data engineering, including versioning, testing, documentation, and governance.
• Provide domain modelling and query optimisation expertise to enable downstream feature teams.
• Mentor junior engineers and support the wider team through design reviews, planning, and process improvements.

• Degree in a technical or quantitative field.
• 5+ years of commercial Data Engineering experience.
• Strong SQL and Postgre
  
  SQL skills, including schema design, indexing, performance tuning, and partitioning.
• Experience building data models for BI tools and analytics workloads.
• Strong Python programming skills and experience developing data-intensive applications.
• Deep understanding of ETL/ELT concepts and modern workflow orchestration tools (e.g., Argo, Prefect, Airflow).
• Familiarity with cloud data services (AWS, GCP, or Azure).
• Experience using AI-assisted coding tools as part of modern engineering workflows.
• Excellent communication skills and a collaborative approach to problem-solving and mentoring.

• Interest in automation, manufacturing, robotics, or data produced by physical systems.
• Experience working with high-volume or structured operational datasets.
• Familiarity with semantic technologies such as graph databases or ontologies.
• Exposure to ML engineering or high-performance compute environments.
• Experience with Infrastructure as Code tools (Terraform, AWS CDK, etc.).

If this sounds like you, click apply and one of the Provn team will be in touch to discuss the opportunity in more detail.

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