Senior Data Engineer
Academic Work Sweden ABSammanfattning
Join a forward-thinking team as a Data Engineer, focusing on HR Analytics within a dynamic banking environment. You will work with modern Azure and Databricks technologies to develop and maintain data models, automate workflows, and ensure data governance. This hybrid role allows for flexibility while utilizing cutting-edge cloud solutions across Sweden and the Baltic states.Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Förmåner
High-impact hybrid role with flexibility in a modern workplace environment.Opportunity to work with the latest cloud technologies like Databricks and Azure.
Ansök senast: 2027-01-26
Publicerad: 2026-07-30
Beskrivning
Join a forward-thinking team shaping the future of HR Analytics. Work with a modern Azure and Databricks stack to deliver high-impact data solutions across Sweden and the Baltic states in a dynamic banking environment.
About the role
As a Data Engineer in this role, you will combine technical expertise with business understanding to develop our client's HR Analytics platform. You will primarily work on building and maintaining data models in Databricks using PySpark and SQL. You will also oversee and further build upon automated workflows in Databricks Workflows. The key competencies for this position also include Kimball modeling, practical application of SCD1 & SCD2, and experience with code management via Azure DevOps.
You are offered We offer a high-impact hybrid role where you can work with the latest cloud technologies like Databricks and Azure, while enjoying the flexibility of a modern workplace environment.
Work tasks
This role focuses on the technical development and orchestration of data within an HR Analytics environment, utilizing Azure and Databricks to process complex HR data sets.
Develop and maintain PySpark and SQL notebooks within Databricks on a daily basis.
Implement and manage SCD1 and SCD2
Configure Unity Catalog for data governance, including catalogs, grants, and security.
Manage CI/CD processes using Azure DevOps repos and YAML pipelines.
Monitor Databricks Workflows and task dependencies.
Collaborate on Power BI semantic models.
We are looking for
Advanced knowledge of Databricks, including PySpark and SQL.
Strong experience with Delta Lake operations such as MERGE.
Proficiency in designing Kimball star schemas and SCD1/SCD2.
Solid understanding of Azure DevOps, YAML pipelines, and PR processes.
Professional fluency in English and Swedish.
It is meritorious if you have
Knowledge of Oracle HCM or PeopleSoft data models.
Experience with Power BI import mode and semantic models.
Familiarity with Azure ADLS Gen2
Our recruitment process
This recruitment process is handled by Academic Work and it is our client's wish that all questions regarding the position is directed to Academic Work.
Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.
About the role
As a Data Engineer in this role, you will combine technical expertise with business understanding to develop our client's HR Analytics platform. You will primarily work on building and maintaining data models in Databricks using PySpark and SQL. You will also oversee and further build upon automated workflows in Databricks Workflows. The key competencies for this position also include Kimball modeling, practical application of SCD1 & SCD2, and experience with code management via Azure DevOps.
You are offered We offer a high-impact hybrid role where you can work with the latest cloud technologies like Databricks and Azure, while enjoying the flexibility of a modern workplace environment.
Work tasks
This role focuses on the technical development and orchestration of data within an HR Analytics environment, utilizing Azure and Databricks to process complex HR data sets.
Develop and maintain PySpark and SQL notebooks within Databricks on a daily basis.
Implement and manage SCD1 and SCD2
Configure Unity Catalog for data governance, including catalogs, grants, and security.
Manage CI/CD processes using Azure DevOps repos and YAML pipelines.
Monitor Databricks Workflows and task dependencies.
Collaborate on Power BI semantic models.
We are looking for
Advanced knowledge of Databricks, including PySpark and SQL.
Strong experience with Delta Lake operations such as MERGE.
Proficiency in designing Kimball star schemas and SCD1/SCD2.
Solid understanding of Azure DevOps, YAML pipelines, and PR processes.
Professional fluency in English and Swedish.
It is meritorious if you have
Knowledge of Oracle HCM or PeopleSoft data models.
Experience with Power BI import mode and semantic models.
Familiarity with Azure ADLS Gen2
Our recruitment process
This recruitment process is handled by Academic Work and it is our client's wish that all questions regarding the position is directed to Academic Work.
Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.
Ansök till tjänsten
Senior Data Engineer
OM FÖRETAGET
Academic Work Sweden AB
