Role description

Build robust data pipelines for vehicle fleets, telemetry, and verification. Work spans from log and sensor data to cloud-based data products for analytics and machine learning, with strong focus on safety, quality, and reliability. Full-time assignment.

Responsibilities

• Ingest, normalize, and store CAN/J1939 logs and telemetry.

• Build scalable Spark/Databricks pipelines for batch and streaming.

• Model data for analysis, troubleshooting, and function verification.

• Implement observability and cost control across cloud/on-prem setups.

• Collaborate with embedded, test, and data science teams.

Requirements

• 3+ years in data engineering, preferably with sensor/IoT data.

• Proficiency with Spark/Databricks, Python, SQL, and Delta Lake or equivalent.

• Experience with Kafka, object storage, and orchestration tools (Airflow/ADF).

• Basic understanding of automotive protocols and test data flows.

• CI/CD and version control.

Meriting

• Knowledge of HIL/SIL data, diagnostics (UDS), and time-series databases.

• Experience with ISO 26262 or Automotive SPICE processes.

• ML pipeline support and feature engineering for predictive maintenance.

Start / Duration
Start: By agreement
Duration: By agreement

Location
Stockholm

About Rasulson Consulting
Rasulson Consulting is a specialized staffing and recruitment firm within the IT sector. We partner with established technology companies as well as innovative startups to offer attractive career opportunities for professionals looking to grow within digital development and IT. With our strong technical expertise and extensive network, we effectively match the right consultant with the right assignment. At Rasulson Consulting, you will receive personalized guidance, ongoing feedback, and the opportunity to take the next step in your career.