Senior Data Engineer – MS Fabric
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Job Description
Senior Data Engineer building Azure data platforms and ETL pipelines for Keyrus, a global data, digital, and AI consulting company. Supporting enterprise analytics, reporting, and master data management.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and integration solutions within the Azure ecosystem
- Build and support enterprise data platforms that consolidate information from multiple source systems
- Develop ETL/ELT processes to ingest, transform, validate, and distribute business-critical data
- Contribute to data modelling, data quality, and governance initiatives
- Support Master Data Management (MDM) processes and ensure consistency across systems
- Work with structured and semi-structured data from ERP, business applications, APIs, databases, and external sources
- Collaborate with business and technical stakeholders to translate requirements into scalable data solutions
- Participate in deployment, testing, monitoring, and continuous improvement activities
- Contribute to CI/CD pipelines, automation, and DevOps best practices
- Actively participate in Agile ceremonies and team collaboration
Requirements:
- 5+ years of experience as a Data Engineer, ETL Developer, or Data Integration Engineer
- Experience working in Agile/Scrum environments
- Strong SQL and database development skills
- Experience designing and developing ETL/ELT pipelines
- Hands-on experience with Microsoft Azure services (Azure Synapse, Azure Data Factory, Azure Storage, Azure Functions, or similar)
- Experience integrating data from multiple enterprise systems and applications
- Strong understanding of data modelling and data integration concepts
- Experience working with APIs, JSON, CSV, and other common integration formats
- Experience with Azure DevOps, Git, and CI/CD practices
- Strong analytical and problem-solving skills
- Fluency in English
- Nice-to-haves: Azure Databricks; PySpark or Spark-based processing frameworks; Master Data Management (MDM) solutions; ERP integrations (SAP, Oracle, Dynamics, Exact, etc.); Talend or similar ETL platforms; Power BI and reporting ecosystems; construction, industrial, manufacturing, or multi-entity enterprise environments; data governance and data quality frameworks
- All applications (CVs) must be submitted in English
Benefits:
- Competitive salary aligned with your experience and the data market
- Meal allowance: €10.20/day
- Flexible benefits plan
- Private medical insurance
- 22 days of annual leave, increasing every 3 years (up to 25 days)
- Continuous learning via KLX – Keyrus Learning Experience
- A collaborative, international, and human-centred work environment
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