At Mobility Global, our mission is to provide trusted information that helps billions of people build, sell, and own vehicles with confidence. As we shape the next generation of automotive intelligence through innovation, AI, and industry-leading data, we're creating current opportunities for our customers, our business, and our people.

The Associate Data Engineer, BAU & Product Support provides hands-on engineering support across Mobility data products and operational workflows.

The role helps run, monitor and improve production data pipelines, quality controls and recurring production processes. It supports established and emerging data products, helping move new capabilities into reliable production while improving the automation, quality and resilience of existing data processes.

This is an associate-level role working under the direction of experienced Data Engineers. It requires strong technical foundations, attention to detail and a willingness to learn the systems, datasets and products supported by the team.

Support recurring production runs and BAU data processes.

Investigate data-processing failures and operational issues.

Data Pipelines

Build and maintain data ingestion, transformation and processing workflows.

Support restructuring and transformation across interconnected datasets.

Help move manual processes into automated, repeatable workflows.

Data Quality and Controls

Develop and maintain automated data-quality checks.

Validate data at key stages of production pipelines.

Improve visibility of recurring data-quality problems.

Product and Project Support

Support live Mobility data products and emerging capabilities.

Support the development and operation of data products that process large, interconnected automotive datasets.

Help move new capabilities from development into reliable production operations.

Assist with testing, deployment and operational readiness.

Work with Product, Research, Data Science and Technology teams.

Develop scripts and lightweight tools to reduce manual effort.





Use AI-assisted engineering tools responsibly to accelerate development, testing and documentation.

1-3 years of relevant experience in data engineering, software engineering or a related data-intensive technical role. Strong graduates with substantial practical experience may also be considered.

- Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering or a related quantitative discipline.
- Practical experience with Python and SQL.
- Understanding of data ingestion, transformation and ETL/ELT concepts.
- Familiarity with relational databases and structured datasets.
- Ability to investigate data and pipeline issues methodically.
- Understanding of software-development fundamentals, including version control and testing.
- Experience with cloud-based data services or platforms.

Experience supporting production pipelines or recurring data processes.

Exposure to orchestration, monitoring or automated-testing tools.

Experience with large or interconnected datasets.

Familiarity with automotive, forecasting or market-intelligence data.

Exposure to machine-learning or Data Science workflows.

Quality focused - Values testing, controls and accurate outputs.

Automation minded - Looks for repeatable improvements to manual work.

This is a hybrid role with in-office expectations determined by location and subject to change based on evolving business needs.

Competitive compensation package, including base salary and incentive opportunities where applicable.Retirement savings programs, including company matching contributions where available.

We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities.

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📌 Associate, Data Engineering (Bengaluru)
🏢 Mobility Global
📍 Bengaluru