Senior Data Engineer

Company description:

.

Job description:

This will be us - your new colleagues

We’re seeking a skilled Data Engineer who can seamlessly connect business objectives with technical solutions and implementation. If you excel at tackling complexity, enjoy creating scalable architectures, and are eager to work with cutting-edge technologies, this role is for you.

Your future team

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. This role is based in Göteborg, Sweden, and requires you to work on-site at our office.

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? Strong hands-on experience building scalable data pipelines in Microsoft Azure using services like Data Factory, Databricks, and Blob Storage.

Advanced proficiency in Python and PySpark for transforming large datasets and handling structured/unstructured service contract data.

Experience with streaming and batch processing, including event-driven architectures (e.g., Service Bus, Kafka equivalents).

Solid understanding of data modeling and optimization in Azure Databricks (Delta La