BI & Data Engineer (ID: MER0003PN7)

How to apply?1) Access - https: //jobs. mercedes-benz. com/en2) Search for Job-ad-Number (ID: MER0003PMV)3) Submit your resume & cover letter in English마감기한 : ~7/27 (채용 확정에 따라 공고가 마감될 수 있습니다. 빠른 지원 부탁드립니다. )File Name : CV_Kim Benz 형식의 이름으로 제출 부탁드립니다. Welcome to Mercedes Benz Korea!We are looking for a BI & Data Engineer to join Mercedes-Benz Korea. Where you will play a key role in designing robust data pipelines and delivering reliable data models that drive enterprise Power BI reporting, KPIs, and automation across multiple platforms. Working at the intersection of engineering and analytics, you will ensure that data is clean, timely, and accessible to empower business users.

Your contributions will directly support both day-to-day operations and high-level strategic decision-making. If you're passionate about turning data into actionable insights, we encourage you to apply and be part of our data-driven journey. Data EngineeringDesign and maintain scalable ETL/ELT pipelines using tools like Databricks (SQL, PySpark), Azure Data Factory, or Apache AirflowBuild and manage data lake and warehouse structures (e. g. , Delta Lake, Unity Catalog, Azure Synapse, Fabric) for structured analyticsDevelop and optimize data models for reporting and automation, following the medallion architecture:

raw → silver → gold layersEnsure data quality, validation rules, and exception handling across data sourcesAutomate data ingestion from APIs, cloud platforms, ERP/CRM systems, with the underlying security, network setups required in both on-premises and cloud environmentsIntegrate DevOps practices:

version control (GitHub), CI/CD pipelines, automated testing, and deployment for data flowsBI / ReportingDesign and maintain Power BI dashboards, including dataset modeling, dataflows, and paginated reportsTranslate business requirements into KPI frameworks and semantic modelsOptimize Power BI performance (query folding, DAX tuning, aggregations)Manage Power BI workspace governance, access control, and deployment pipelinesEnable self-service BI by creating reusable data models and training business usersEnsure reporting accuracy and alignment with data from the gold layer or master KPIsCross-Cutting / Shared ResponsibilitiesCollaborate closely with business units to define data and insight requirementsMaintain metadata, documentation, and data lineage transparencySupport incident handling, refresh monitoring, and data health checks for both data pipelines and dashboardsDrive data standardization and implement best practices in naming conventions, modeling, and lifecycle managementSupport data democratization and literacy efforts by enabling access to clean, governed data productsWork closely with the Data Analytics, Engineering, and Automation team members to drive synergy and alignment across projects and initiativesData Governance and ComplianceEnsure compliance with data governance policies, standards, and regulationsEstablish data quality standards and procedures to maintain data accuracy and reliabilityImplement data governance frameworks to govern data usage, access, and securityContinuous ImprovementStay abreast of emerging trends, technologies, and best practices in data analytics and business architectureIdentify opportunities for process improvement, automation, and optimization to enhance efficiency and effectivenessFoster a culture of innovation and knowledge sharing within the organization through collaboration and cross-functional teamworkQualificationsEducation4 year university graduateMajor in computer science, data engineering and analytics, or a related field; advanced degree preferredExperienceMin 3 years’ experience in data analytics, business intelligence and/or scienceAdditional Experience (2-3 years) in automotive industry, process- and project management or related fields is advantageousSpecific knowledgeDepth knowledge of data analytics, engineering and science, business architecture, or a related roleProficiency in data analysis tools and programming languages such as SQL, DAX, Python, R, etc.

as well Microsoft Power Platform automation solutionsStrong experience with Power BI, including dataset modeling and performance tuningFamiliarity with Databricks, Delta Lake, Azure SynapseExperience with data lake houses, Power Query/M, and structured data modelingKnowledge of data governance, KPI definition, and metadata managementExcellent communication, collaboration, and stakeholder management skills, both Korean and English (verbal, written and presentation)Ability to work effectively in a dynamic, fast-paced environment with multiple stakeholders and competing prioritiesStrong problem-solving, adaptability skills and attention to detail