Assignment Description

Our client in the automotive industry is currently seeking a Senior Data Engineer within their Engineering Data Hub. This role is based in Gothenburg, and you will be expected to work primarily from their Gothenburg office.

Our client is making bold digital visions come true, aiming to lead the automotive world by creating a digital ecosystem designed to simplify customers’ lives. They are looking for curious, creative individuals who want to make a difference through innovative thinking.

On a journey to redefine the automotive customer experience through digital technology, the focus areas include Electrification, Autonomous Drive, and Shared Mobility, all aimed at enabling personal, sustainable, and safe mobility. Software engineering is playing an increasingly important role, with more development being done in-house for better integration and continuous improvement. Their data vision focuses on driving innovation and decisions with trusted data, tackling challenges through robust designs and flexibility.

As part of the Engineering Data Hub, you will join a fast-paced, fun environment where the mission is to deliver trusted data and insights to improve product performance, processes, and customer experiences. The data engineering team bridges the gap between data producers and consumers, aiming to enhance efficiency in data product creation and platform capabilities.

Main Responsibilities:

• Provide support, guidelines, and best practices for creating and operating data products.
• Create and maintain data products based on business requirements.
• Collaborate with the Product Owner to ensure proper functionality, break down tasks, and plan sprints.
• Maintain the technical design within architectural guidelines and collaborate with stakeholders and system architects.

Tech they use daily:

• Programming Languages: Python, Apache Spark, Bash
• Table Formats: Delta
• Cloud Platforms: Azure
• Data Platforms: Databricks, Snowflake
• Other Tools: Docker, GitHub

Required Qualifications:

• Minimum 8 years of experience in related fields.
• Fluent in English, both verbal and written.
• Deep knowledge of modern data architecture principles.
• Extensive hands-on experience in data pipeline design, development, and operation.
• Comfortable working independently and collaboratively in an agile environment.
• Strong understanding of data modeling, data access, and data storage techniques.
• Experience with cloud technologies (Azure, AWS).
• Knowledge of data privacy and protection tools.
• Pragmatic approach to balancing ideal and functional solutions.

Additional Qualifications:

• Knowledge of Software Engineering, System Design, SQL, Orchestration Tools (Airflow/Prefect/Dagster), Data Streaming (Apache Kafka), CI/CD, IaC, GitOps, DevOps, and Networking.
• Experience applying product thinking to data projects.
• Experience with data governance and modern data architectures such as data mesh.
• Experience creating reports to convey business insights.

Desired Attributes:

• Proactive, problem-solver, and flexible team player.
• Eager to learn and handle daily challenges with a service-minded approach.
• Adaptable to a high-paced, fast-changing environment, driven by a sense of urgency and curiosity.
• Ability to build trust and influence others with a company-aligned mindset.
• Strong communication, analytical, and organizational skills.
• Automotive industry experience is meritorious.