Senior Data Engineer – MS Fabric

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

Consulting • Data Analytics • Digital Transformation

Keyrus is a global consulting company that specializes in data and digital transformation. Operating in over 20 countries, Keyrus works with clients to leverage data analytics and cutting-edge digital transformation strategies to drive business success. The company prides itself on being technology agnostic, partnering with various innovative software vendors. Keyrus promotes a multicultural and flexible work environment, emphasizing innovation, trust, and ownership among its employees. The company offers extensive career development opportunities and a comprehensive benefits package. With expertise in data analytics and digital transformation, Keyrus aims to make a significant impact on the digital future.

📋 Description

• 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.

🏖️ Benefits

• 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