Senior Data Engineer

SwedenCompetitive0 applicants

About this role

Company description:

.

Job description:

This will be us - your new colleagues

We are now recruiting a senior data engineer for our highly skilled team working in one of the most advanced area called HVIA.  We build and maintain end to end digital solutions, starting with data engineering pipelines to ML models to front end applications and APIs that matters the most for business users. You will be part of a high performing team of skilled data professionals, such as Data Architects, Data Engineers, ML engineers & Data Analysts. You will closely collaborate with Digital Product Managers and Owners from Volvo Trucks.

What you will be doing

Collaborate with business stakeholders to translate requirements into robust data solutions.

Design and implement end-to-end data pipelines for processing and transformation using Azure services , Databricks and DBT.

Build and develop transformations logic in DBT and Databricks for advanced data processing.

Set up and manage DevOps environments from scratch - including configurations, CI/CD pipelines, releases, deployments, and hotfixes.

Write clean, efficient code in SQL, Python and create DBT models and macros.

Design and author Power BI dashboards

Integrate APIs and systems, and connect AI models to enterprise workflows.

Collaborate actively in an Agile environment, ensuring transparency and engagement.

Handle multiple projects in parallel.

Who are you?

Over 12 years of experience in data engineering with extensive hands-on work in building and optimizing data pipelines.

Deep expertise in Azure Services, Databricks, and DBT.

Strong programming and troubleshooting capabilities in SQL, Python, and PySpark.

Practical experience setting up and managing DevOps and MLOps pipelines using GitHub.

Skilled in API/system integration and integration of AI/ML models into production systems.

Excellent communicator with proven ability to collaborate effectively and engage independently with b

Responsibilities

  • Collaborate with business stakeholders to translate requirements into robust data solutions.
  • Design and implement end-to-end data pipelines for processing and transformation using Azure services , Databricks and DBT.
  • Build and develop transformations logic in DBT and Databricks for advanced data processing.
  • Set up and manage DevOps environments from scratch - including configurations, CI/CD pipelines, releases, deployments, and hotfixes.
  • Write clean, efficient code in SQL, Python and create DBT models and macros.
  • Design and author Power BI dashboards
  • Integrate APIs and systems, and connect AI models to enterprise workflows.
  • Collaborate actively in an Agile environment, ensuring transparency and engagement.

Requirements

  • Handle multiple projects in parallel.
  • Over 12 years of experience in data engineering with extensive hands-on work in building and optimizing data pipelines.
  • Deep expertise in Azure Services, Databricks, and DBT.
  • Strong programming and troubleshooting capabilities in SQL, Python, and PySpark.
  • Practical experience setting up and managing DevOps and MLOps pipelines using GitHub.
  • Skilled in API/system integration and integration of AI/ML models into production systems.
  • Excellent communicator with proven ability to collaborate effectively and engage independently with b

EU Requirements

Job Details

Posted10 May 2026
Closes9 June 2026

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