Data Validation Engineer – Automotive Industry

Job Title:

Location:

Type:

Experience Level:

• 1 Senior Engineer (4+ years)

Data Preparation, Validation & Analysis Engineers

Key Responsibilities:

• Perform

  signal interpretation, time-series analysis

  , and data validation activities.
• Work with data from

  automotive propulsion systems

  (combustion, battery-electric, and fuel cells).
• Understand and analyze data from

  engine, battery, fuel-cell, and chassis dynamometer testbeds

  .
• Support data acquisition, processing, and validation from measurement devices and automation systems.
• Utilize tools like

  INCA, Xion, CANalyzer

  for measurement and analysis.
• Work with automation systems such as

  PUMA, iGEM

  , supporting test execution and data capture.
• Validate measurement equipment functionality (dyno systems, flow meters, emissions devices, electrical sensors, etc.).
• Perform standard engineering calculations (power, emissions, efficiencies, etc.).
• Prepare datasets and structured information for requirement derivation and downstream engineering.
• Collaborate with requirement, calibration, test, and development teams to ensure completeness and accuracy of data.
• Support reporting and dashboarding using tools such as

  Grafana, PowerBI

  , and

  OpenSearch

  .
• Document analysis methods, validation logs, data issues, and requirement inputs clearly.
• Maintain consistency and quality in datasets across testing cycles and programs.

Required Skills & Background

General Knowledge

• Strong understanding of

  signal interpretation

  and

  time-series data analysis

  .
• Knowledge of propulsion systems (ICE, battery-electric, fuel-cell).
• Familiarity with automotive test environments and testbed setups.
• Understanding of data acquisition & measurement systems (INCA, Xion, CANalyzer).
• Experience with automation platforms:

  PUMA, iGEM

  .
• Knowledge of measurement equipment and working principles (dyno, flow meters, emission analyzers).
• Ability to perform basic engineering calculations related to power, emissions, etc.

Languages

• Python
• PySpark
• SQL
• JSON (DB query / data extraction)

Tools & Frameworks

• Grafana
• PowerBI
• Rancher Desktop
• OpenSearch
• Confluence, Jira
• Concerto

Soft Skills

• Strong analytical and problem-solving abilities.
• Ability to work independently and handle multiple datasets and tasks.
• Good communication skills for cross-team coordination.
• Quick learner with adaptability to new tools and systems.

Requirements

• Experience in automotive data processing, measurement systems, or test engineering.
• Hands-on exposure to Python scripting for data processing.
• Basic understanding of automotive testing workflows and measurement principles.
• Familiarity with dashboards, monitoring tools, and reporting frameworks.