Data Engineer III at TomTom

TomTom logo
TomTom

Data Engineer III

in flag
India

Hybrid

Full Time

#Product Engineering

#Customer Experience

#SQL

#Data Warehousing

#Power BI

#Python

#Pandas

#Pyspark

#Microsoft Azure

#Azure Synapse

#Azure Databricks

#Azure Data Factory

TomTom is looking for a Data Engineer III

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What you'll do
  • Data Engineering & Development
  • Design, build, and maintain reliable, scalable data pipelines using batch and incremental processing patterns.
  • Develop and optimise SQL-based transformations and data models for analytics and reporting use cases.
  • Write clean, efficient and testable code using Python (Pandas / PySpark).
  • Implement and support data warehouse and lakehouse solutions following best practices (e.g., Bronze/Silver/Gold).
  • Build curated datasets and semantic models to enable Power BI dashboards and reports.
  • Cloud & Platform
  • Work extensively on the Microsoft Azure data ecosystem, including:
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Data Lake (ADLS Gen2)
  • Power BI
  • Participate in design and implementation of solutions on Microsoft Fabric (nice to have).
  • Support workloads running on or integrated with AWS and GCP where required.
  • Operational Excellence
  • Ensure data pipelines are robust, monitored, and production-ready.
  • Troubleshoot and resolve data quality, performance, and reliability issues.
  • Support production systems and participate in incident resolution and root-cause analysis.
  • Apply FinOps principles to optimize cloud data platform costs.
  • Collaboration & Leadership
  • Act as a technical mentor for junior and mid-level data engineers.
  • Review code and designs with a focus on quality, performance, and maintainability.
  • Work closely with analysts, product owners, and stakeholders to understand real business requirements and translate them into data solutions.
  • Contribute positively to team culture with a collaborative and ownership-driven mindset.


  • What you'll need
  • 6-9 years of experience in data engineering, analytics engineering, or software engineering.
  • 5+ years of strong hands-on experience with:
  • SQL (complex queries, performance tuning, data modeling)
  • Data Warehousing concepts
  • Data visualization using Power BI
  • Strong programming experience with Python, especially Pandas (PySpark experience is a plus).
  • Proven experience building and supporting data platforms on Microsoft Azure.
  • Strong analytical skills and ability to represent data meaningfully by understanding business context.
  • Good to Have
  • Exposure to Microsoft Fabric.
  • Basic working knowledge of:
  • Bash / Shell scripting
  • Networking fundamentals
  • Infrastructure as Code (Terraform)
  • IAM and security concepts
  • Familiarity with data governance concepts such as data quality, lineage, and access control.
  • What We Look For
  • A strong hands-on senior engineer, not just a designer.
  • Someone who takes ownership of data solutions end-to-end.
  • A team player with good cultural adaptability and communication skills.
  • Curiosity and passion for continuously improving data systems.
  • TomTom logo

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