DevOps / Data Pipeline Engineer

About the role

We are looking for a senior DevOps / Data Pipeline Engineer to design, build and maintain robust data pipelines across our heterogeneous data platforms. The role focuses on ensuring high-quality, performant and scalable data flows while supporting the operational stability of our cloud‑based environment.

Key responsibilities

• Design and implement end‑to‑end data pipelines from diverse source systems.
• Guarantee data quality, performance and scalability of all data flows.
• Monitor pipeline health, manage incidents and continuously optimise performance.
• Develop and maintain operational frameworks, documentation and technical artefacts such as data model diagrams.
• Collaborate with cross‑functional teams to align pipeline architecture with business requirements.

Required profile

• Approximately 10 years of experience in data manipulation, engineering or DevOps.
• Strong background in cloud data services (Azure or AWS) and modern data platforms.
• Proven ability to work independently on complex, large‑scale data projects.

Required skills

• Azure or AWS cloud data services
• Databricks
• DataOps
• Python programming
• Data transformation methodologies
• Data quality management
• Spec‑driven development (preferred)