Senior Data Engineer Databricks, Azure & People Analytics - 20184
Veritaz AB · Stockholm · 6 månader – upp till 12 månader · Deadline 2026-11-25
Veritaz AB is seeking a **Senior Data Engineer** to develop and enhance a modern, scalable data platform supporting HR and People Analytics. Working within an Azure and Databricks ecosystem, the role centres on data integration, governance, and advanced modelling to produce reusable datasets for reporting, advanced analytics, and self-service. Core responsibilities include designing dimensional star schemas and Slowly Changing Dimensions, building Bronze, Silver, and Gold data layers, and creating automated ETL/ELT pipelines using Databricks, Azure Data Factory, SQL, Python, and PySpark. Duties also involve collaborating with Power BI developers, implementing **data quality monitoring and GDPR-compliant data protection**, and contributing to CI/CD and release management. Applicants must have extensive hands-on experience with **Databricks Lakehouse, Delta Lake, Lakeflow, and Unity Catalog**, alongside strong competence in Azure Data Factory, SQL, and Python or PySpark. Expertise in dimensional and semantic data modelling is required, as is experience modelling HR or business data from Workday, Peakon, or equivalent HCM, employee experience, or financial systems. Candidates also need practical experience with automated testing, data profiling, personal data security controls such as row- and column-level security, and the ability to translate business requirements into technical solutions.
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Job Overview
Assignment Description
We are looking for a Senior Data Engineer to develop and enhance a modern, scalable data platform supporting HR and People Analytics.
The role focuses on data integration, advanced data modelling, data quality, governance, and analytics. You will build reliable data pipelines and reusable, quality-assured datasets that support reporting, advanced analysis, and self-service analytics while ensuring data security and GDPR compliance.
What You Will Work On
- Design and develop dimensional and semantic data models, including star schemas and Slowly Changing Dimensions (SCD).
- Build and maintain Bronze, Silver, and Gold data layers.
- Develop and optimise ETL/ELT pipelines using Databricks, Azure Data Factory, SQL, Python, and PySpark.
- Work with Delta Lake, Lakeflow, and Unity Catalog.
- Implement automated testing, data validation, profiling, and quality monitoring.
- Optimise pipeline performance, incremental processing, and storage costs.
- Implement data governance, access controls, and GDPR-compliant data protection.
- Create reusable, version-controlled datasets with clear definitions, documentation, and traceability.
- Translate business requirements into robust technical solutions in collaboration with stakeholders and development teams.
- Collaborate with Power BI developers to optimise analytical models.
- Contribute to CI/CD, release management, incident management, and technical documentation.
What You Bring
- Extensive hands-on experience with Databricks Lakehouse, Delta Lake, Lakeflow, and Unity Catalog.
- Strong experience with Azure Data Factory, SQL, Python/PySpark, and large-scale data pipelines.
- Expertise in dimensional and semantic data modelling, including SCD, role-playing dimensions, and calculation groups.
- Experience modelling HR and business data from Workday, Peakon, or equivalent HCM, employee experience, or financial systems.
- Experience with automated testing, data validation, data profiling, and data quality monitoring.
- Knowledge of row-level and column-level security, personal data protection, data retention policies, and GDPR controls.
- Ability to translate business requirements into scalable technical solutions.
- Strong analytical, communication, and stakeholder collaboration skills.