Senior Data Engineer

Let's introduce ourselves

At Volvo Cars, we are making bold digital visions come true. We aim to be the leader in the automotive world by creating a digital ecosystem built around making our customers' lives less complicated. What we all have in common at Volvo Cars is our passion for protecting lives, our endless curiosity and our dedication to create a new future for the automotive industry. Our human centric focus is what separates us from all other car companies.

What you'll do

This role is part of Data and Analytics team which provides competence to Products Areas, Clusters and Teams to succeed in delivering business value by turning data into Insights. Expected to Utilize standards and best practices to enable Business areas to accelerate their value journey through Self-Service data & analytics, and to accomplish “insights at the fingertips” for Volvo Car Group. Provides opportunity to mentor developers to build quality products, contribute to multiple domains and be part of technology selection/solution architecture.

Main responsibilities

Act as Technology expert to build quality data products with willingness to self-learning and long-term commitment. Interact with Product teams, architects, and platform experts to deliver user stories on timely basis with world class quality.

What you'll bring

Experience and Education

• Educational Background: bachelor’s or master’s degree in computer science, or related field.
• Professional Experience: 7 years+ in data engineering or related field, handling large-scale data systems.

Analytical Skills

• Data Warehousing: Experienced in building and maintaining data warehouses and data lakes.
• Data Modeling: Skilled in designing efficient data models using Dimensional modeling techniques.
• ELT Processes: Proficient in creating and managing ELT pipelines.

Adaptability and Continuous Learning

• Staying Updated: Keeps abreast of latest trends and technologies in data engineering.
• Embracing Change: Open to adopting new tools and methodologies.
• Continuous Improvement: Seeks opportunities to improve processes and systems.

Primary Technology Skills 

• Proficient in SQL programming with strong debugging capabilities.
• Proficient in designing, implementing, and managing ELT processes using dbt and Snowflake to move and transform data across systems.
• Proficient in designing efficient data models, especially using Dimensional modeling techniques.
• Experience with Snowflake data warehouse platform for cloud-based data storage and analytics.
• Knowledgeable in cloud services for data storage, processing, and management.
• Experience with Redpanda for streaming data integration and Benthos configuration for ingestion pipelines.
• Experienced in setting up and managing workflow orchestration using Apache Airflow.
• Ensure data consistency and quality across the organization.
• Good understanding of data governance principles and practices.
• Experience working within Agile frameworks like SAFe (Scaled Agile Framework).

Secondary Technology Skills

• Experience in conducting peer reviews and mentoring less experienced data engineers.
• Experience in API integration for data consumption and enrichment.
• Experience in Python programming language for data manipulation, scripting, and automation tasks.
• Experience in building dashboards or scorecards using Power BI.