Senior Azure Data Engineer

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

You will be:

• Mapping candidate-to-cash business processes to the underlying source systems.
• Profiling ATS, payroll, finance, HR and other relevant platforms to assess available data and its quality.
• Identifying data quality issues, integration challenges and data governance requirements.
• Defining data requirements for complex recruiter cost-allocation processes.
• Designing data ingestion and transformation pipelines using Azure Databricks and the Bronze, Silver and Gold layers.
• Preparing technical design documentation and engineering standards.
• Defining dbt project structures, testing approaches, naming conventions and CI/CD practices.
• Assessing the feasibility of requested KPIs by validating data availability and quality.
• Providing technical assumptions and sizing inputs for delivery-phase estimates.
• Identifying technical risks, dependencies and data-related constraints.
• Collaborating with architects, platform engineers, business stakeholders and the client’s technical teams.
• Participating in workshops, architecture reviews and design validation sessions.

Your profile:

• Strong experience designing data platforms in Azure, with hands-on expertise in Azure Databricks.
• A solid understanding of Medallion Architecture and modern data lake architectures, including Delta Lake.
• Strong SQL and data modelling skills.
• Experience designing ingestion and transformation pipelines across multiple source systems.
• Background in source system analysis, data profiling and data quality assessment in large-scale enterprise environments.
• Experience defining data integration strategies across HR, payroll, finance or operational systems.
• Practical knowledge of dbt and data engineering best practices.
• Understanding of data governance, lineage, testing and quality controls.
• Experience documenting technical designs and engineering standards.
• Familiarity with Microsoft Fabric and Power BI ecosystems.
• The ability to estimate engineering effort and identify technical risks and dependencies.
• Strong communication, analytical and problem-solving skills.
• Confidence facilitating technical discussions and workshops with both technical and business stakeholders.
• Independence and a structured approach to work in a consulting environment.
• Excellent documentation skills and the ability to translate business requirements into technical solutions.

Work from the European Union region and a work permit are required.

Nice to have:

• Experience with Azure Data Factory, Unity Catalog or Microsoft Entra ID.
• Knowledge of data security and access segregation models.
• Experience implementing CI/CD for analytics platforms.
• Familiarity with recruitment, staffing, HR, payroll or finance datasets.
• Experience designing KPI and reporting data models.
• Involvement in data platform roadmaps or estimation activities.
• Previous consulting or client-facing experience, especially in Discovery & Design engagements.
• Experience presenting technical findings to technical and business audiences.
• Contributions to architecture reviews or strategic planning exercises.