Senior Data Engineer for After-Sales Vehicle Documentation

Role Description

We are looking for a Data Engineer with strong data engineering, modeling, Python, and machine learning skills to build and support data and AI solutions for business reporting and analytics.

The role involves developing data pipelines, integrating AI/ML models into BI reports, and automating insights using AI tools. You will work with Databricks, Spark, SQL, and AWS to process data and enable AI-powered analytics and natural-language queries in reporting tools.

Principal Accountability

• Translate business metrics into clear data requirements and product backlog items; maintain a product mindset.
• Design, build, and operate ETL/ELT pipelines on Databricks and Spark; implement dimensional and semantic models for fast access.
• Implement data-quality monitoring, including validation checks, alerts, and automated remediation.
• Integrate AI/ML models into reporting workflows; productionize notebooks and jobs and manage model lifecycles with MLflow.
• Enable natural-language querying and AI-powered insights in BI; automate report generation and anomaly detection.
• Optimize SQL and cluster configurations for performance and cost on AWS.
• Partner with Product, IT Engineering, and stakeholders; run demos, collect feedback, and manage escalations.
• Uphold security, compliance, and QMS expectations, and document data lineage, metadata, and design decisions.
• Model data and metadata for ad hoc and pre-built reporting as required.
• Understand business requirements and create optimized queries and reports.
• Create Databricks notebooks for data transformation.
• Maintain awareness of incident management processes and provide timely support to avoid escalations.
• Facilitate technical discussions with colleagues and stakeholders through strong communication and assertiveness.
• Participate in innovation, Lean, and agile operational-excellence activities.

Qualifications

• B.E./B.Tech or M.E./M.Tech in Computer Science Engineering, IT, or a similar discipline.
• 5 to 8 years of experience in a relevant domain.
• Experience with Spark SQL and PySpark.
• Exposure to Databricks and Spark environments.
• Strong SQL and data-modeling skills.
• Exposure to cloud-based data platforms, preferably AWS.
• Agile/Scrum development experience.
• Experience with Jira and Confluence.
• Strong Python development skills.
• Solid foundation in machine learning and applied AI.
• Knowledge of TensorFlow and MLflow.
• Experience integrating AI tools with BI workflows.
• Knowledge of the Mercedes-Benz portfolio is an advantage.
• Prior automotive, manufacturing, or related-domain experience is preferred.
• Awareness of QMS standards, norms, DBL standards, and tools is an advantage.
• German language skills are preferred.

Why Join Us?

• Be part of a purpose-driven organization shaping the future of mobility.
• Work on cutting-edge technologies and global projects.
• Thrive in a collaborative, diverse, and inclusive environment.
• Access world-class infrastructure and continuous learning opportunities.

Equal Opportunity Statement

Mercedes-Benz Research and Development India is committed to diversity and inclusion and welcomes applications from all qualified individuals, regardless of gender, background, or ability.

Benefits

• Employee discounts
• Possible health benefits
• Mobile phone benefits
• Possible meal discounts
• Company retirement benefits
• Hybrid work possible
• Mobility offers
• Employee events
• Coaching
• Flextime possible
• Near-site childcare
• Parking
• Canteen and café
• Good public transport
• Barrier-free workplace
• In-house doctor