Senior Data Engineer - BI & KPIs

About the role

Camlin is looking for a Senior Data Engineer to build trusted data foundations that enable measurement, insight, and continuous improvement across its Technology Division. You will design, build, and maintain reliable data pipelines, integrations, and analytics‑ready models that bring together fragmented operational, engineering, and product data for KPI implementation and executive reporting.

Key responsibilities

• Design, build, and maintain scalable data pipelines that ingest, transform, and integrate data from multiple business and engineering systems.
• Develop robust ETL/ELT processes using SQL, Python, Databricks, and related technologies.
• Create and maintain analytics‑ready data models that support trusted, reusable reporting across the division.
• Partner with performance analysts and stakeholders to translate metric definitions into scalable technical models.
• Build and evolve the division’s data lakehouse platform using Databricks or equivalent modern data platform technologies.
• Implement data quality controls, validation checks, and governance mechanisms to ensure reliable data.

Required profile

• Proven senior‑level experience in data engineering, pipeline development, and data platform delivery.
• Strong ability to work across business and engineering systems to connect fragmented data sources.
• Experience collaborating with analysts and business stakeholders to define and implement KPIs.

Required skills

• SQL
• Python
• Databricks
• ETL/ELT processes
• Data lakehouse / data platform engineering
• Data modeling
• Data quality and governance