Senior Azure Data Engineer (Databricks)
Deadline: 2026-03-20
Description
We are looking for a senior data engineer who will work in a BI & Analytics project within HVIA-AI Warranty area.This person should be able to understand business stakeholders and translate their needs into technical solutions.Must have- Sound data engineering background
- 10+ years of experience- Solely implemented data engineering pipelines for data processing, data transformation- Set up Azure DevOps in project from start till end, with strong focus on configurations, setting up pipelines, releases, deployments, hotfixes- Expert in Databricks development and operations- Coding skills in SQL, python, pyspark, Scripts- Have worked in different BI projects with good data modeling background
- 5+ years of experience in BI projects: good business understanding, data modeling- API integration & system integration- Ability to connect AI models with systems.- Agile mindset- Working experience with Git, DevOps- Active collaborator, should be transparent and to have good engagement with team- Experience to handle multiple projects in parallel- Good team player and good communication skills- Able to work on-site in our offices in Gothenburg- English mandatoryGood to have- Be able to upskill the team with hand-on sessions.- Automation experience- Scripting experience (shell scripts)- Power BI backgroundNeed the candidate with strong Data Engineering background and experience on Azure Ecosystem, Databricks, Sql. Having Power BI experience is a plus.We need the resource physical available with the business stakeholders in Gothenburg, Sweden for effective collaboration and communication.The requirement is immediate to HVIA - AI Warranty Team
Skills
Azure DevOps & CI/CDSQL, Python, PySpark, and scriptingAzureData EngineeringDatabricksAgileGitSQLStakeholder Collaboration & Agile DeliveryPower BiDevOpsData Modeling & BI ExperienceData Pipeline DevelopmentAzure Data Engineering & Databricks ExpertiseSystem & API IntegrationPython