Data Engineer

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 hadi.soltani@volvocars.com.

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!

Organisation: 
Volvo Cars