Data Engineer

Take the lead in driving innovation At Volvo Cars, we are committed to advancing safety, sustainability and electrification. To achieve our ambitious goals, we are looking for forward-thinking individuals who can identify challenges before they arise and deliver cutting-edge solutions that set new industry standards. When you choose a career with Volvo Cars, you’re not just joining a company – you’re helping shape the future of mobility.

Let's introduce ourselves We are expanding our team of digital talents – and are now looking for a Senior Data Engineer We’re creating our own future At Volvo Cars, we are making bold digital visions come true. We aim to be the leader in the automotive world by creating a digital ecosystem built around making our customers' lives less complicated. What we all have in common at Volvo Cars is our passion for protecting lives, our endless curiosity and our dedication to create a new future for the automotive industry.

Our human centric focus is what separates us from all other car companies. India Digital Tech Hub – Bangalore The Digital Tech Hub is an integral part of the digital transformation journey for Volvo Cars. The Tech Hub is a strategic player, providing skills and competencies in areas such as cloud solutions, data science and analytics, SAP, UX/UI and we are part of managing key technology platforms within various domains such as R&D, manufacturing & logistics and the commercial area.

A career designed around you Share our passion for customers and cars. Share our desire to make life less complicated for people. Join us at Volvo Cars.

What you'll do This role is part of Data and Analytics team which provides competence to Products Areas, Clusters and Teams to succeed in delivering business value by turning data into Insights. Expected to Utilize standards and best practices to enable Business areas to accelerate their value journey through Self-Service data & analytics, and to accomplish “insights at the fingertips” for Volvo Car Group. Provides opportunity to mentor developers to build quality products, contribute to multiple domains and be part of technology selection/solution architecture.

Act as Technology expert to build quality data products with willingness to self-learning and long-term commitment. Interact with Product teams, architects, and platform experts to deliver user stories on timely basis with world class quality. What you'll bring Experience and Education Educational Background : bachelor’s or master’s degree in computer science, or related field.

Professional Experience : 5 years+ in data engineering or related field, handling large-scale data systems. Analytical Skills Data Warehousing : Experienced in building and maintaining data warehouses and data lakes. Data Modeling : Understanding of dimensional modeling techniques and ability to apply them in data transformation tasks.

ELT Processes : Skilled in creating and managing ELT pipelines. Master Data Management (MDM) : Working knowledge of master data management concepts and tools such as Semarchy XDM, with a focus on learning how to ensure data consistency and quality across systems. Adaptability and Continuous Learning Staying Updated : Keeps abreast of latest trends and technologies in data engineering.

Embracing Change : Open to adopting new tools and methodologies. Continuous Improvement : Seeks opportunities to improve processes and systems. Primary Technology Skills (Must -have’s) Solid understanding of SQL programming with ability to write queries and troubleshoot data issues.

Exposure to designing and managing ELT processes using dbt and Snowflake for data transformation. Basic knowledge of dimensional modeling and data modeling principles. Experience working with Snowflake as a cloud data warehouse for analytics and reporting.

Familiarity with Microsoft Azure cloud services for data storage and processing. Exposure to Semarchy XDM or other MDM tools for managing master data and ensuring data quality. Understanding data governance concepts and willingness to learn data quality practices.

Experience working in Agile environments such as SAFe. Exposure to Redpanda for streaming data integration and basic understanding of Benthos configuration for templated ingestion pipelines. Familiarity with Apache Airflow for orchestrating data workflows.

Secondary Technology Skills Basic proficiency in Python for scripting and automation tasks. participate in peer reviews and collaborate with senior engineers. Exposure to API integration for data consumption. Experience or interest in building dashboards using Power BI.

Behaviors Embracing an agile mindset Customer Centricity and Design Thinking Good social and communication skills. Being curious, a quick learner and having a structured and analytical mindset Being willing to innovate and take on new challenges. Being result oriented and striving for improvements.

Positive attitude and being motivating and energizing. Cope with change and decide well without having the total picture.