Data Catalog Integration Specialist

Volkswagen Group Digital Solutions [Portugal]

Lisboa

À distance

EUR 60 000 - 90 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

1200€ to equip your home office
Flex allowance: 720€/year (60€ per月nt?

Résumé du poste

Volkswagen Group Digital Solutions [Portugal] seeks a Data Catalog Owner to drive the data catalog vision, governance, and integration across diverse sources. You will lead the technical roadmap, implement data lineage, and ensure data quality and policy compliance.

You will collaborate with data engineers, stewards, and product owners to translate business needs into scalable catalog solutions using Collibra and related tools in a remote-friendly Lisbon-based setting.

Qualifications

  • Bachelor's degree in computer science, software engineering, or comparable work experience.
  • Proven experience working as a Data Catalog Owner or related role.
  • Comprehensive knowledge of Data Governance principles, best practices, and compliance standards is mandatory.
  • In-depth experience with data technologies, including databases, ETL processes, data lakes, data pipelines and leading data cataloging tools (e.g., Collibra) or related Data Governance tools.
  • Strong understanding of data architecture, data modeling, and data integration.
  • Working experience in implementing and managing Data Lineage and Data Profiling to ensure data transparency and quality.
  • Ability to collaborate with the Product Owner and work closely with data engineers, architects, data scientists, and business stakeholders to gather and prioritize technical requirements.
  • Strong communication and analytical skills
  • Great English skills, both written and spoken

Responsabilités

  • Developing and communicating a technical vision, strategy, and roadmap for the Data Catalog.
  • Leading the technical development, configuration, optimization, and the integration with different data sources and embedding data governance policies and workflows.
  • Setting up and maintaining connectors and integrations to ensure seamless ingestion of data from various sources into the Data Catalog.
  • Validating that the data ingested from source systems is accurate, complete, and reflects its original structure.
  • Supporting key governance roles by assisting with the ingestion and organization of business metadata.
  • Mapping and establish relationships between business and technical metadata, ensuring a clear hierarchy and alignment.
  • Creating and managing custom views of assets, including business and technical lineage diagrams.
  • Designing and implementing workflows to automate repetitive tasks and improve operational efficiency.
  • Onboarding and training individuals in key governance roles, ensuring they can effectively use the Data Catalog to fulfill their responsibilities.
  • Implementing and enforcing data governance practices, data security measures, and data quality assurance within the Data Catalog.
  • Working closely with technical teams to implement features and improvements, ensuring scalability and integration with the organization’s technology stack.

Connaissances

Data governance
Data modeling
Data lineage
Data profiling
Collibra
Stakeholder management
English language

Formation

Bachelor's degree in Computer Science or equivalent

Outils

Collibra
ETL tools
Data catalogs tools
Databases

Description du poste

  • Developing and communicating a technical vision, strategy, and roadmap for the Data Catalog, ensuring alignment with the organization's data management objectives
  • Leading the technical development, configuration, optimization, and the integration with different data sources and embedding data governance policies and workflows
  • Setting up and maintaining connectors and integrations to ensure seamless ingestion of data from various sources into the Data Catalog
  • Validating that the data ingested from source systems is accurate, complete, and reflects its original structure.
You’ll be focused in
  • Developing and communicating a technical vision, strategy, and roadmap for the Data Catalog, ensuring alignment with the organization's data management objectives
  • Leading the technical development, configuration, optimization, and the integration with different data sources and embedding data governance policies and workflows
  • Setting up and maintaining connectors and integrations to ensure seamless ingestion of data from various sources into the Data Catalog
  • Validating that the data ingested from source systems is accurate, complete, and reflects its original structure.

Supporting key governance roles (e.g., Data Stewards, Data Owners) by assisting with the ingestion and organization of business metadata

  • Mapping and establish relationships between business and technical metadata, ensuring a clear hierarchy and alignment.
  • Creating and managing custom views of assets, including business and technical lineage diagrams, to enhance usability and transparency
  • Designing and implementing workflows to automate repetitive tasks and improve operational efficiency.
  • Onboarding and training individuals in key governance roles, ensuring they can effectively use the Data Catalog to fulfill their responsibilities
  • Implementing and enforcing data governance practices, data security measures, and data quality assurance within the Data Catalog
  • Working closely with technical teams to implement features and improvements, ensuring scalability and integration with the organization’s technology stack
In order to succeed, you’ll need
  • Bachelor's degree in computer science, software engineering, or comparable work experience
  • Proven experience working as a Data Catalog Owner or related role
  • Comprehensive knowledge of Data Governance principles, best practices, and compliance standards is mandatory
  • In-depth experience with data technologies, including databases, ETL processes, data lakes, data pipelines and leading data cataloging tools (e.g., Collibra) or related Data Governance tools
  • Strong understanding of data architecture, data modeling, and data integration
  • Working experience in implementing and managing Data Lineage (tracking the flow of data across systems) and Data Profiling (analyzing data quality, structure, and content) to ensure data transparency and quality
  • Ability to collaborate with the Product Owner and work closely with data engineers, architects, data scientists, and business stakeholders to gather and prioritize technical requirements.
  • Strong communication and analytical skills
  • Great English skills, both written and spoken
Company Benefits
  • 1200€ to equip your home office
  • Flex allowance: 720€/year (60€ per month x12)
  • Performance bonus
  • Health insurance extendable to your household
  • Wellbeing program extendable to your household
  • Life insurance
  • Pension fund
  • Smartphone & phone data plan
  • Discounts on VW Group cars and special financing conditions
Cool Things You’ll Experience In Our Work Environment
  • Tailored remote-friendly setup for every team's vibe!
  • Flexible working hours
  • Multicultural reality with + 30 different nationalities
  • Pet friendly environment
  • Boost your career with our internal mobility program, focused on your personal & professional growth
  • Mix and mingle across teams for idea-sharing and bonding
About VW Group Digital Solutions [Portugal]

Technology-driven trends such as diverse mobility, electrification and connectivity will revolutionize the mobility industry in the next decade. Volkswagen Group, as world leader in the automotive industry, is setting the pace for this revolution.

At Volkswagen Group Digital Solutions [Portugal] we are the go-to team to tackle complex systems and programming challenges. We make sure that our products flow smoothly in all stages of the digital value chain.

Our main areas of focus: vehicle software & operations, mobile online services, IT security, fleet management, sales & after sales, purchasing & logistics and product portfolio management.

Ready to #ExploreNewRoads? Join us!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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