Senior Azure Data Engineer

Description

The company is a global partner for AI-first digital transformation and engineering, with more than 25 years in the field and about 5,000 staff across 16 countries.

Its focus areas are artificial intelligence, data and cloud, intelligent automation and digital products, with a strong emphasis on engineering quality and a people-first approach.

The CEE unit has close to 1,000 specialists building modern applications, data platforms and AI solutions for clients across the region, using Azure, AWS, GCP, Databricks and Snowflake.

The team pairs an engineering culture with a consulting approach and a focus on growth and knowledge sharing.

Responsibilities

• Map candidate-to-cash processes onto the source systems that support them.
• Examine ATS, payroll, finance, HR and other relevant platforms to judge the data they hold and its quality.
• Spot data quality problems, integration difficulties and governance needs.
• Set out data requirements for intricate recruiter cost-allocation processes.
• Design ingestion and transformation pipelines on Azure Databricks using Bronze, Silver and Gold layers.
• Write technical design documents and engineering standards.
• Define dbt project layout, testing methods, naming conventions and CI/CD practice.
• Check whether requested KPIs can be produced by testing data availability and quality.
• Supply technical assumptions and sizing inputs for delivery estimates.
• Find technical risks, dependencies and data constraints.
• Work with architects, platform engineers, business stakeholders and the client's technical teams.
• Take part in workshops, architecture reviews and design validation sessions.

Requirements

• Strong experience designing Azure data platforms, with hands-on Azure Databricks work.
• Solid grasp of Medallion Architecture and modern data lakes, including Delta Lake.
• Strong SQL and data modelling skills.
• Experience designing ingestion and transformation pipelines across several source systems.
• Background in source system analysis, data profiling and data quality assessment in large enterprise settings.
• Experience setting data integration strategy across HR, payroll, finance or operational systems.
• Practical dbt knowledge and grasp of data engineering best practice.
• Understanding of data governance, lineage, testing and quality controls.
• Experience writing technical designs and engineering standards.
• Familiarity with Microsoft Fabric and Power BI.
• Ability to estimate engineering effort and spot technical risks and dependencies.
• Strong communication, analytical and problem-solving skills.
• Confidence running technical discussions and workshops with technical and business stakeholders.
• Ability to work independently with a structured approach in a consulting setting.
• Excellent documentation skills and ability to turn business requirements into technical solutions.
• 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.
• Prior consulting or client-facing experience, especially in Discovery and Design engagements.
• Experience presenting technical findings to technical and business audiences.
• Contributions to architecture reviews or strategic planning.

Conditions

Work must be from the European Union region, and a work permit is required.

Hiring runs through a CV review, an HR call, an interview, a client interview and a final decision.