Senior Data Engineer, Databricks

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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 using Databricks, PySpark, Python and SQL. • Build and optimise batch and near real-time data processing solutions on the Microsoft Azure ecosystem. • Develop and maintain Delta Lake-based data architectures. • Develop robust and scalable data products and modern data platform components supporting strategic business initiatives. • Contribute to CI/CD implementation and automation for data solutions. • Apply engineering best practices around source control, testing, deployment, and monitoring. • Support Infrastructure-as-Code and environment standardisation initiatives. • Ensure high standards of data quality, observability, monitoring, security, and operational reliability. • Collaborate with Product Managers, Architects, Data Engineers, and business stakeholders to deliver high-quality outcomes. • Participate in technical design discussions and contribute to solution architecture decisions. • Support platform governance, cost optimisation, technical documentation, and knowledge sharing initiatives.

🎯 Requirements

• 5+ years of experience in Data Engineering • 3+ years of hands-on experience with Databricks • Proven experience building and maintaining modern cloud data platforms • Experience working within Agile delivery environments • Proven ability to work effectively in distributed and international teams • Professional proficiency in English. • Strong hands-on expertise with: Databricks, PySpark, Delta Lake, Databricks SQL, Workflow orchestration, Performance tuning • Strong proficiency in: Python, SQL • Experience with: Microsoft Azure Data Platform services, Azure DevOps, Git-based development, CI/CD implementation, Data modelling, Data warehousing concepts • Good understanding of: Data Governance, Security and access management, Monitoring and observability. • Ability to design and deliver scalable, secure, and cost-efficient data solutions.

🏖️ 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