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61 Continental Jobs
IT engineer data lakehouse
Continental
posted 6 days ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design, develop, and operate scalable and maintainable data pipelines in the Azure Databricks environment
- Develop all technical artefacts as code, implemented in professional IDEs, with full version control and CI/CD automation
- Enable data-driven decision-making in Supply Chain Management (SCM) by ensuring high data availability, quality, and reliability
- Implement data products and analytical assets using software engineering principles in close alignment with business domains and functional IT
- Apply rigorous software engineering practices such as modular design, test-driven development, and artifact reuse in all implementations
- Develop all technical artefacts as code, implemented in professional IDEs, with full version control and CI/CD automation
- Enable data-driven decision-making in Supply Chain Management (SCM) by ensuring high data availability, quality, and reliability
- Implement data products and analytical assets using software engineering principles in close alignment with business domains and functional IT
- Apply rigorous software engineering practices such as modular design, test-driven development, and artifact reuse in all implementations
- Global delivery footprint; cross-functional data engineering support across SCM domains
- Collaboration with business stakeholders, functional IT partners, product owners, architects, ML/AI engineers, and Power BI developers
- Agile, product-team structure embedded in an enterprise-scale Azure environment
- Collaboration with business stakeholders, functional IT partners, product owners, architects, ML/AI engineers, and Power BI developers
- Agile, product-team structure embedded in an enterprise-scale Azure environment
Main Tasks:
Design scalable batch and streaming pipelines in Azure Databricks using PySpark and/or Scala
Implement ingestion from structured and semi-structured sources (e.g., SAP, APIs, flat files)
Build bronze/silver/gold data layers following the defined lakehouse layering architecture & governance
Implement ingestion from structured and semi-structured sources (e.g., SAP, APIs, flat files)
Build bronze/silver/gold data layers following the defined lakehouse layering architecture & governance
Implement use-case driven dimensional models (star/snowflake schema) tailored to SCM needs
Ensure compatibility with reporting tools (e.g., Power BI) via curated data marts and semantic models
Ensure compatibility with reporting tools (e.g., Power BI) via curated data marts and semantic models
Implement enterprise-level data warehouse models (domain-driven 3NF models) for SCM data, closely aligned with data engineers for other business domains
Develop and apply master data management strategies (e.g., Slowly Changing Dimensions)
Develop and apply master data management strategies (e.g., Slowly Changing Dimensions)
Develop automated data validation tests using frameworks
Monitor pipeline health, identify anomalies, and implement quality thresholds
Establish data quality transparency by defining and implementing meaningful data quality rules with source system and business stakeholders and implementing related reports
Monitor pipeline health, identify anomalies, and implement quality thresholds
Establish data quality transparency by defining and implementing meaningful data quality rules with source system and business stakeholders and implementing related reports
Develop and structure pipelines using modular, reusable code in a professional IDE
Apply test-driven development (TDD) principles with automated unit, integration, and validation tests
Integrate tests into CI/CD pipelines to enable fail-fast deployment strategies
Commit all artifacts to version control with peer review and CI/CD integration
Work closely with Product Owners to refine user stories and define acceptance criteria
Translate business requirements into data contracts and technical specifications
Participate in agile events such as sprint planning, reviews, and retrospectives
Apply test-driven development (TDD) principles with automated unit, integration, and validation tests
Integrate tests into CI/CD pipelines to enable fail-fast deployment strategies
Commit all artifacts to version control with peer review and CI/CD integration
Work closely with Product Owners to refine user stories and define acceptance criteria
Translate business requirements into data contracts and technical specifications
Participate in agile events such as sprint planning, reviews, and retrospectives
Document pipeline logic, data contracts, and technical decisions in markdown or auto-generated docs from code
Align designs with governance and metadata standards (e.g., Unity Catalog)
Track lineage and audit trails through integrated tooling
Align designs with governance and metadata standards (e.g., Unity Catalog)
Track lineage and audit trails through integrated tooling
Profile and tune data transformation performance
Reduce job execution times and optimize cluster resource usage
Refactor legacy pipelines or inefficient transformations to improve scalability
Reduce job execution times and optimize cluster resource usage
Refactor legacy pipelines or inefficient transformations to improve scalability
Degree in Computer Science, Data Engineering, Information Systems, or related discipline.
Certifications in software development and data engineering (e.g., Databricks DE Associate, Azure Data Engineer, or relevant DevOps certifications).
Certifications in software development and data engineering (e.g., Databricks DE Associate, Azure Data Engineer, or relevant DevOps certifications).
Employment Type: Full Time, Permanent
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What people at Continental are saying
What Continental employees are saying about work life
based on 569 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Continental Benefits
Submitted by Company
Preventive Health Care 
Childcare Working Time Models Workplace Design Sabbatical Leave Mobile Working
Submitted by Employees
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