Data Engineer

Camlin is a global technology leader that develops revolutionary products for industries including power and rail, while also maintaining interests in various scientific R&D projects. The organization focuses on high-quality engineering and design to provide market-leading products and services across more than 20 countries.

• Design, build, and maintain scalable data pipelines to ingest, transform, and integrate data from business and engineering systems;
• Connect fragmented source systems into a reliable and governed data foundation for KPI measurement and analytics;
• Develop robust ETL/ELT processes using SQL, Python, and Databricks;
• Create and maintain analytics-ready data models to support reporting across the Technology Division;
• Structure data to ensure KPI definitions are consistent, traceable, and automatically calculated;
• Partner with stakeholders to translate metric definitions into scalable technical models;
• Build and evolve data platform capabilities using Databricks or equivalent technologies;
• Design data structures to support reporting, self-service analytics, and advanced use cases;
• Implement data quality controls, validation checks, and reconciliation processes;
• Support data governance practices including lineage, traceability, and access control;
• Identify and resolve data issues across upstream and downstream systems;
• Integrate data from ALM/PLM platforms, CI/CD systems, and telemetry/IoT feeds;
• Create a unified view of engineering flow, delivery performance, and product lifecycle signals;
• Collaborate with cross-functional teams to understand source systems and business context;
• Communicate technical constraints and trade-offs to technical and non-technical stakeholders.

• Strong experience in senior data engineering or closely related roles;
• Proficiency in SQL for querying, transformation, and performance optimization;
• Expertise in Python for data engineering, automation, and integration;
• Experience with Databricks or equivalent modern data platforms;
• Proven ability in building and maintaining ETL/ELT pipelines;
• Experience in data modelling for analytics and reporting;
• Strong understanding of data integration, quality, lineage, and governance practices;
• Experience working with complex, multi-source datasets in operational and engineering environments;
• Strong stakeholder engagement and requirements gathering skills;
• Nice to have: familiarity with mechatronics environments, exposure to PLM/ALM ecosystems and engineering toolchains, exposure to IoT/telemetry and product performance data, experience supporting Power BI or other BI/reporting layers, knowledge of continuous improvement methods.

• No conditions specified