ADAS Data and Analytics Engineer

ADAS Data & Analytics Engineer | Mercedes-Benz > Karriere > Jobsuche > Stellenausschreibungen DE EN HU Anbieter/DatenschutzUnternehmenTechnologieNachhaltigkeitKarriereInvestorenPresse ProdukteKarriereJobsucheADAS Data & Analytics EngineerTätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Field Analytics & AutomationGesellschaft:Mercedes-Benz Research and Development India Private LimitedStandort:Mercedes-Benz Research and Development India Private Limited, Bangalore Startdatum:sofortVeröffentlichungsdatum:28.09.2026Stellennummer:MER00043P2Arbeitszeit:Vollzeit BewerbenAufgabenJob Description – ADAS Data & Analytics Engineer (4–7 Years)Role OverviewWe are looking for a Data & Analytics Engineer with 4–7 years of experience to work on ADAS validation, data processing, and analytics workflows. The role involves handling large-scale vehicle data, building automation pipelines, and generating insights to support decision-making. Key ResponsibilitiesData Processing & AnalysisWork with ADAS/event-based datasets from multiple sources (signals, logs, video-derived data)Perform data extraction, cleaning, and transformation using PythonAnalyze time-series data and derive meaningful insights for validation use casesAutomation & Workflow DevelopmentDevelop scripts and workflows for automated data processing and reportingIdentify opportunities to automate repetitive analytics tasks using ML or rule-based logicWork with orchestration tools (Airflow/Flyte or similar) for pipeline executionData Engineering & CloudHandle large datasets (e.g., Parquet) and optimize data pipelines for performanceWork with cloud platforms (preferably GCP/AWS) for data storage and processingIntegrate APIs and databases for data access and processingVisualization & ReportingBuild dashboards using Power BI / Tableau / similar toolsDesign KPIs and visualize insights for stakeholdersEnsure clear and structured storytelling of data insightsCollaboration & Domain WorkWork closely with validation teams and SMEs to understand data requirementsSupport ADAS function analysis and validation workflowsContribute to continuous improvement of analytics use cases Required SkillsTechnical SkillsStrong Python skills (Pandas, NumPy, data processing)Good SQL knowledge (RDBMS/NoSQL basics)Experience with large-scale data handling and processingExposure to cloud environments (GCP/AWS preferred)Knowledge of dashboarding tools (Power BI/Grafana/Tableau)Good to HaveExperience in ADAS / automotive domainUnderstanding of time-series data & signal processingExposure to ML basics (classification, model usage)Knowledge of containerization (Docker/Kubernetes) QualificationsBachelor’s/Master’s in Computer Science, Electronics, or related field4–7 years of relevant experience in Data Analytics / Data Engineering Behavioral ExpectationsStrong analytical and problem-solving skillsAbility to work in a dynamic environmentGood collaboration and communication skillsStructured thinking and ownership mindset QualifikationenJob Description – ADAS Data & Analytics Engineer (4–7 Years)Role OverviewWe are looking for a Data & Analytics Engineer with 4–7 years of experience to work on ADAS validation, data processing, and analytics workflows. The role involves handling large-scale vehicle data, building automation pipelines, and generating insights to support decision-making. Key ResponsibilitiesData Processing & AnalysisWork with ADAS/event-based datasets from multiple sources (signals, logs, video-derived data)Perform data extraction, cleaning, and transformation using PythonAnalyze time-series data and derive meaningful insights for validation use casesAutomation & Workflow DevelopmentDevelop scripts and workflows for automated data processing and reportingIdentify opportunities to automate repetitive analytics tasks using ML or rule-based logicWork with orchestration tools (Airflow/Flyte or similar) for pipeline executionData Engineering & CloudHandle large datasets (e.g., Parquet) and optimize data pipelines for performanceWork with cloud platforms (preferably GCP/AWS) for data storage and processingIntegrate APIs and databases for data access and processingVisualization & ReportingBuild dashboards using Power BI / Tableau / similar toolsDesign KPIs and visualize insights for stakeholdersEnsure clear and structured storytelling of data insightsCollaboration & Domain WorkWork closely with validation teams and SMEs to understand data requirementsSupport ADAS function analysis and validation workflowsContribute to continuous improvement of analytics use cases Required SkillsTechnical SkillsStrong Python skills (Pandas, NumPy, data processing)Good SQL knowledge (RDBMS/NoSQL basics)Experience with large-scale data handling and processingExposure to cloud environments (GCP/AWS preferred)Knowledge of dashboarding tools (Power BI/Grafana/Tableau)Good to HaveExperience in ADAS / automotive domainUnderstanding of time-series data & signal processingExposure to ML basics (classification, model usage)Knowledge of containerization (Docker/Kubernetes) QualificationsBachelor’s/Master’s in Computer Science, Electronics, or related field4–7 years of relevant experience in Data Analytics / Data Engineering Behavioral ExpectationsStrong analytical and problem-solving skillsAbility to work in a dynamic environmentGood collaboration and communication skillsStructured thinking and ownership mindset Benefits Mit­arbeiter­rabatte möglich Gesund­heits­maß­nahmen Mit­arbeiter­handy möglich Essens­zulagen Betrieb­liche Alters­ver­sorgung Hybrides Arbeiten möglich Mobilitäts­angebote Mit­arbeiter Events Coaching Flexible Arbeits­zeit möglich Park­platz Betriebs­arzt Gute An­bindung Barriere­frei­heit Kinder­betreuung Kantine, Café KontaktMercedes-Benz Research and Development India Private LimitedBrigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum StandortDipti Nayak E-Mail: dipti.nayak@mercedes-benz.com BewerbenDie Mercedes-Benz Group.Die Mercedes-Benz Group AG (ehemals Daimler AG) ist eines der erfolgreichsten Automobilunternehmen der Welt. 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