Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Full-timeWith HomeofficeSenior
Berlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
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RARamboll
Data Architect for Technology Architecture(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Shaping data architecture and roadmaps for sustainable change in a global engineering consultancy. 5+ years in data architecture, cloud architecture, and data governance establishment required. Flexible work options, high autonomy.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 5+ years professional experience in data architecture, cloud architecture, data integration, data modelling
- Deep understanding of modern data stack components
- Previous engagement in data architecture and data governance establishment
- Experience in leading data modelling, database design, data warehousing, master data management, data governance practices
- Strong skills in data modelling, ETL processes, data integration
- Experience working with data platform teams
- Experience in securing and protecting sensitive information
- Experience in AEC industry (great to have)
- Data pipeline development for engineering platform data
- Experience implementing decentralized data products in Data Mesh
- Proven experience with cloud platforms (Microsoft Azure, GCP, AWS)
- Exceptional analytical and problem-solving skills
- Ability to design innovative solutions to complex data challenges
- Data Modelling (Conceptual, Logical, Physical)
- Data Warehousing
- Data Lakes
- Data Mesh
- Data Governance
- Metadata Management
- Master Data Management
- Skill in leading data product lifecycle (modelling to optimization)
- Familiarity with DAMA Data Management Framework (DAMA-DMBOK)
- Understanding of engineering platforms and data integration with engineering systems (great to have)
- Advanced knowledge of data modelling tools
- Advanced knowledge of data lakes
- Advanced knowledge of SQL
- Advanced knowledge of pipeline design
- Excellent communication and interpersonal skills
- Ability to convey technical concepts to non-technical stakeholders
- Proficiency in Microsoft Fabric platform (great to have)
- Relevant certifications in cloud technologies (plus)
- Data Engineering certifications (plus)
- Databricks certifications (plus)
Tasks
- Work closely with architects and chapter leads.
- Partner with data product owners and directors.
- Transform data into a strategic asset.
- Ensure data is well-structured, governed, and leveraged.
- Shape data architecture, roadmaps, and solutions.
- Translate business requirements into data architectures.
- Align data architectures with enterprise strategy.
- Lead design and implementation of modern data systems.
- Improve and ensure overall data quality.
- Define information and data architecture.
- Design and implement data integration solutions.
- Ensure seamless data flow across the organization.
- Collaborate with data platform teams.
- Design and implement data operating models.
- Support efficient data processing and integrations.
- Support reporting and AI model deployment.
- Design and develop data models.
- Support business processes, analytics, and reporting.
- Optimize data models for performance and scalability.
- Engage with technology providers.
- Understand critical data technology roadmaps.
- Explore and evaluate innovative data solutions.
- Own and evolve enterprise data architecture.
- Define data principles and target-state models.
- Establish data architecture standards across platforms.
- Lead data architectural design.
- Transform data ecosystems into AI-ready products.
- Establish, document, and enforce data architecture standards.
- Establish, document, and enforce data modelling guidelines.
- Establish, document, and enforce data best practices.
- Define and maintain enterprise and domain data models.
- Shape data products, contracts, and interoperability patterns.
- Guide data platform usage.
- Ensure adherence to data protection standards.
- Implement frameworks for data lineage and cataloging.
- Implement automated observability frameworks.
- Ensure trust and reliability in data pipelines.
- Maintain repositories for data elements and flows.
- Maintain the business glossary.
- Contribute to architectural governance.
- Review data-related designs.
- Guide teams on data design alignment.
- Collaborate with data governance teams.
- Embed data quality, security, and compliance.
- Collaborate with cross-functional teams.
- Understand data requirements and deliver solutions.
- Operationalize data architecture.
- Build robust and scalable technology platforms.
- Evaluate and recommend new data tools.
- Improve data engineering efficiency and effectiveness.
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Microsoft Azure
- GCP
- AWS
- SQL
- Microsoft Fabric
- Databricks
Benefits
Flexible Working
- Increased flexibility
Purpose-Driven Work
- Autonomy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ramboll and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RARamboll
Data Architect for Technology Architecture(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Shaping data architecture and roadmaps for sustainable change in a global engineering consultancy. 5+ years in data architecture, cloud architecture, and data governance establishment required. Flexible work options, high autonomy.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 5+ years professional experience in data architecture, cloud architecture, data integration, data modelling
- Deep understanding of modern data stack components
- Previous engagement in data architecture and data governance establishment
- Experience in leading data modelling, database design, data warehousing, master data management, data governance practices
- Strong skills in data modelling, ETL processes, data integration
- Experience working with data platform teams
- Experience in securing and protecting sensitive information
- Experience in AEC industry (great to have)
- Data pipeline development for engineering platform data
- Experience implementing decentralized data products in Data Mesh
- Proven experience with cloud platforms (Microsoft Azure, GCP, AWS)
- Exceptional analytical and problem-solving skills
- Ability to design innovative solutions to complex data challenges
- Data Modelling (Conceptual, Logical, Physical)
- Data Warehousing
- Data Lakes
- Data Mesh
- Data Governance
- Metadata Management
- Master Data Management
- Skill in leading data product lifecycle (modelling to optimization)
- Familiarity with DAMA Data Management Framework (DAMA-DMBOK)
- Understanding of engineering platforms and data integration with engineering systems (great to have)
- Advanced knowledge of data modelling tools
- Advanced knowledge of data lakes
- Advanced knowledge of SQL
- Advanced knowledge of pipeline design
- Excellent communication and interpersonal skills
- Ability to convey technical concepts to non-technical stakeholders
- Proficiency in Microsoft Fabric platform (great to have)
- Relevant certifications in cloud technologies (plus)
- Data Engineering certifications (plus)
- Databricks certifications (plus)
Tasks
- Work closely with architects and chapter leads.
- Partner with data product owners and directors.
- Transform data into a strategic asset.
- Ensure data is well-structured, governed, and leveraged.
- Shape data architecture, roadmaps, and solutions.
- Translate business requirements into data architectures.
- Align data architectures with enterprise strategy.
- Lead design and implementation of modern data systems.
- Improve and ensure overall data quality.
- Define information and data architecture.
- Design and implement data integration solutions.
- Ensure seamless data flow across the organization.
- Collaborate with data platform teams.
- Design and implement data operating models.
- Support efficient data processing and integrations.
- Support reporting and AI model deployment.
- Design and develop data models.
- Support business processes, analytics, and reporting.
- Optimize data models for performance and scalability.
- Engage with technology providers.
- Understand critical data technology roadmaps.
- Explore and evaluate innovative data solutions.
- Own and evolve enterprise data architecture.
- Define data principles and target-state models.
- Establish data architecture standards across platforms.
- Lead data architectural design.
- Transform data ecosystems into AI-ready products.
- Establish, document, and enforce data architecture standards.
- Establish, document, and enforce data modelling guidelines.
- Establish, document, and enforce data best practices.
- Define and maintain enterprise and domain data models.
- Shape data products, contracts, and interoperability patterns.
- Guide data platform usage.
- Ensure adherence to data protection standards.
- Implement frameworks for data lineage and cataloging.
- Implement automated observability frameworks.
- Ensure trust and reliability in data pipelines.
- Maintain repositories for data elements and flows.
- Maintain the business glossary.
- Contribute to architectural governance.
- Review data-related designs.
- Guide teams on data design alignment.
- Collaborate with data governance teams.
- Embed data quality, security, and compliance.
- Collaborate with cross-functional teams.
- Understand data requirements and deliver solutions.
- Operationalize data architecture.
- Build robust and scalable technology platforms.
- Evaluate and recommend new data tools.
- Improve data engineering efficiency and effectiveness.
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Microsoft Azure
- GCP
- AWS
- SQL
- Microsoft Fabric
- Databricks
Benefits
Flexible Working
- Increased flexibility
Purpose-Driven Work
- Autonomy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ramboll and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Ramboll
Industry
Consulting
Description
Das Unternehmen erarbeitet für den Energiesektor Konzepte und Lösungen entlang der gesamten Wertschöpfungskette.
Not a perfect match?
- Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Ramboll
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Full-timeWith HomeofficeSeniorHamburg - Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Consultant AI & Data Architecture(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - XIBIX Solutions GmbH
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorUnterschleißheim, Konstanz, Hamburg, Landshut, Berlin, München - MaibornWolff GmbH
Senior Data Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorHamburg