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Volvo Cars

Data Engineer

Volvo Cars
Sweden · Full-time · Not Applicable
Let's introduce ourselves

Welcome to Volvo Cars Connected Experience (ConX), where we lead the development of next-generation solutions for Infotainment, connectivity, and data-driven decision-making. Within the dynamic environment of eART Solution Integration and Release, we enable data-driven insights by building robust pipelines, integrating data from multiple sources, and delivering high-quality visualizations and analytics. Currently, we are seeking a Data Engineer to design, implement, and maintain scalable data systems that empower teams across Connected Experience.

At ConX, we leverage a cutting-edge data ecosystem to unlock the power of insights. Our tech stack includes:

  • Data Warehousing & ELT: Snowflake, dbt, Apache Airflow
  • Real-Time Streaming: Kafka, AWS Kinesis, Flink
  • Visualization & Reporting: Power BI, Grafana
  • Databases: SQL, NoSQL (e.g., MongoDB, DynamoDB)
  • Languages: Python, SQL
  • Cloud Platforms: AWS, Azure

Our tools and services ensure seamless data integration, quality, and accessibility, enabling teams to innovate and deliver value across our ecosystem.

Your Responsibilities

As a Data Engineer, your role will be pivotal in ensuring high-quality data solutions:

Data Pipeline Development & Maintenance

  • Design, develop, and optimize scalable ELT pipelines to process and integrate data from diverse sources.
  • Implement robust workflows for transforming and validating large volumes of structured and unstructured data.

Data Architecture & Storage

  • Develop and maintain scalable data models and schemas in Snowflake or similar platforms.
  • Ensure data systems are efficient, secure, and optimized for performance and accessibility.

Real-Time Data Streaming

  • Work with streaming frameworks like Kafka or AWS Kinesis to process and analyze real-time data streams.
  • Enable real-time insights by integrating live data into analytics platforms.

Visualization & Insights

  • Build and maintain dashboards and reports using Power BI, Grafana, or similar tools.
  • Translate complex data into actionable insights for stakeholders across Connected Experience.

Collaboration & Innovation

  • Collaborate closely with cross-functional teams to understand data requirements and deliver tailored solutions.
  • Identify and implement opportunities for innovation and efficiency in data workflows.

Data Governance & Quality

  • Ensure data accuracy, reliability, and compliance with industry standards and governance frameworks.
  • Implement automated testing and monitoring solutions for data pipelines and systems.

Do You Have What It Takes?

You Bring:

  • Proven experience in data engineering, with expertise in ELT pipelines and cloud-based data warehousing (e.g., Snowflake).
  • Proficiency in Python, SQL, and data integration tools such as dbt or Apache Airflow.
  • Hands-on experience with real-time data streaming tools like Kafka or AWS Kinesis.
  • Strong background in building data visualization solutions with tools like Power BI and Grafana.
  • Knowledge of database technologies (SQL and NoSQL) and cloud platforms (AWS, Azure).

You Are:

  • A structured and detail-oriented professional with a passion for data-driven solutions.
  • Analytical and innovative, always seeking opportunities for improvement.
  • A collaborative team player with excellent communication and problem-solving skills.

How To Apply

For inquiries about the position, please contact Manager Hadi Soltani at [email protected].

Please note that applications via email will not be accepted.

Location: Gothenburg (Lindholmen)

Join us and help shape the future of Connected Experience with data-driven innovation!

Key Skills

Ranked by relevance

aws power bi kafka sql python apache nosql cloud data visualization data warehousing grafana
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Country Guide

Sweden

Nordic quality of life with strong tech brands

Posted
Jan 20, 2025
Type
Full-time
Level
Not Applicable
Location
Gothenburg
Company
Volvo Cars

Industries

Motor Vehicle Manufacturing

Categories

Information Technology

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