Senior Data Engineer

About the role

We are looking for a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that power our data platform. You will work closely with cross‑functional teams to ensure data availability, reliability, and performance.

Key responsibilities

• Design, implement, and optimise end‑to‑end data pipelines for ingesting, processing and transforming large volumes of structured and unstructured data.
• Develop robust ETL processes and data validation checks to ensure data quality.
• Create and maintain data models, schemas and database structures for analytical and operational use cases.
• Integrate internal and external data sources and build APIs/web services for data access.
• Orchestrate reliable, observable workflows using cloud platforms (Azure Data Factory, Synapse, AWS S3, BigQuery, etc.).
• Configure and manage data warehouses, data lakes and distributed computing frameworks, monitoring performance and applying optimisations.
• Implement data security controls and access‑management policies.
• Document designs, workflows and best practices; provide technical guidance to teammates.

Required profile

• Bachelor’s degree in Computer Science, Engineering, Information Systems or a related field.
• Proven experience in data engineering or software development roles.
• Strong knowledge of database systems, data modelling techniques and SQL.
• Experience with big‑data technologies and cloud‑based data platforms.

Required skills

• Programming: Python, Java, Scala
• SQL and relational databases
• ETL tools: Azure Data Factory, Databricks
• Cloud services: Azure Synapse, AWS S3, Google BigQuery
• Data modelling, data lakes, data warehouses
• API development and integration