Senior Data & Analytics Engineer

For our client, we're looking for a Senior Data & Analytics Engineer,

Data Platform & Architecture

• Design and develop scalable data and analytics solutions using Databricks. Implement

and maintain modern lakehouse architectures supporting analytics and data-driven use

cases.

• Define data engineering best practices, standards, and governance.

• Collaborate with stakeholders to transform business requirements into technical

solutions.

Data Engineering & Analytics

• Build and maintain batch and streaming data pipelines using Databricks and Apache

Spark.

• Develop and optimize data models for analytics, reporting, and advanced insights.

• Ensure data quality, reliability, and performance across the platform.

• Troubleshoot and resolve complex data integration and processing challenges.

Automotive Data Solutions

• Work with large-scale automotive data sets such as diagnostics, telemetry, sensor, and connected vehicle data.

• Design data models handling complex relationships between multiple data domains and formats.

• Support engineering and analytics teams with reliable and accessible data dashboards and products.

DataOps & Cloud

• Implement CI/CD pipelines and automated deployment processes for data solutions.

• Collaborate with platform and DevOps teams to improve operational efficiency.

• Implement monitoring, logging, and security best practices for data platforms.

Competence requirements

• Extensive experience as a Data Engineer, Analytics Engineer, or similar role.

• Strong hands-on experience with Databricks, Apache Spark, SQL, and Python.

• Experience designing and implementing modern data lakehouse architectures.

• Experience building batch and real-time data pipelines.

• Strong understanding of data modeling, data warehousing, and analytics platforms.

• Experience working with cloud platforms such as Azure or AWS

• Experience from the automotive industry, preferably working with diagnostics, telemetry, connected vehicle, or other complex engineering data.

• Strong communication skills and ability to collaborate across technical and business

teams.

Other requirements

• Excellent problem-solving, analytical, and troubleshooting skills. 

• Strong communication and collaboration abilities. 

• Ability to work in a fast-paced, agile development environment. 

  • We offer continuously. That means that we sometimes remove the assignments before deadline. If you are interested we recommend that you apply immediately.

    PayExpress:

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  • Locations: Gothenburg
  • Technologies: Amazon Web Services (AWS), Azure, Databricks, Python, SQL, Spark
  • Language: English