Senior Azure Data Engineer

Location: Remote within the European Union region; Bulgaria, Poland, or Romania. A work permit is required.

Company

Global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, modern applications, data platforms, and AI solutions across 16 countries.

What you will do

• Map candidate-to-cash business processes to source systems and profile ATS, payroll, finance, HR, and other platforms for data availability and quality.
• Identify data quality issues, integration challenges, governance requirements, technical risks, dependencies, and data-related constraints.
• Define data requirements for recruiter cost-allocation processes and assess KPI feasibility by validating data availability and quality.
• Design ingestion and transformation pipelines using Azure Databricks and Bronze, Silver, and Gold layers.
• Define dbt project structures, testing approaches, naming conventions, CI/CD practices, technical designs, and engineering standards.
• Collaborate with architects, platform engineers, business stakeholders, and client technical teams in workshops, architecture reviews, and design validation sessions.

Requirements

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

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.

Culture & Benefits

• People-first culture with a strong engineering focus.
• Continuous growth and knowledge sharing.
• Consulting environment involving collaboration with clients and business stakeholders.
• Remote work from the European Union region.

Hiring process

• CV review.
• HR call followed by an interview.
• Client interview and decision.