Data Technician jobs in Germany

The SAP MDM & Data Governance Lead will spearhead the master data management and data governance initiatives within the EY SAP Enterprise Data Management Initiative run by SAP Platforms & Assets. This role is responsible not only for designing and implementing robust SAP MDM solutions but also for leading data compliance, security, and information security (InfoSec) efforts to ensure enterprise-wide adherence to regulatory requirements, privacy policies, and organizational data protection standards.

Essential Functions of the Job

• Lead the design, implementation, and governance of SAP Master Data Management (MDM) solutions aligned with enterprise standards and BDC program objectives.
• Define and enforce data governance frameworks, policies, and procedures, ensuring consistent data definitions, quality standards, and ownership across SAP master data domains.
• Own the data compliance strategy within the SAP BDC initiative, ensuring adherence to GDPR, CCPA, HIPAA, and other relevant regulations.
• Collaborate with InfoSec and data privacy teams to implement security controls that protect master data integrity, confidentiality, and availability.
• Develop and monitor data access policies, user roles, and authorization workflows to mitigate risks and ensure secure handling of master data.
• Conduct risk assessments and audits related to data security and compliance, proactively identifying gaps and recommending remediation plans.
• Partner with data architects and engineers to embed compliance and security requirements into data migration pipelines and cloud platforms (Azure, AWS, GCP, Databricks, Snowflake).
• Drive master data quality management initiatives through data profiling, cleansing, validation, and continuous improvement processes.
• Serve as a subject matter expert and evangelist for data governance best practices within the SAP BDC team and wider organization.
• Lead training and awareness programs to educate teams on data compliance, security policies, and governance principles.
• Facilitate collaboration between IT, business units, and external vendors to maintain data governance maturity and respond to audit findings.
• Stay abreast of emerging data compliance regulations, InfoSec standards, and MDM innovations, incorporating these into the program roadmap.

Knowledge and Skills Requirements

• Deep expertise in SAP Master Data Management solutions and architecture, including SAP MDG and related modules.
• Strong understanding of enterprise data governance frameworks, standards, and methodologies.
• Solid knowledge of global data protection laws (GDPR, CCPA, HIPAA) and compliance requirements impacting master data.
• Experience with data security controls, role-based access, encryption, and InfoSec risk management.
• Familiarity with cloud platforms (Microsoft Azure, AWS, Google Cloud), and data platform tools such as Databricks, Snowflake, Nvidia AI.
• Proficient in data quality tools, metadata management, and data lineage documentation.
• Ability to translate regulatory and security requirements into practical data governance policies and technical controls.
• Excellent communication and stakeholder management skills with the ability to influence across business and technical teams.
• Strong analytical mindset with attention to detail and ability to manage multiple priorities.
• Experience conducting data compliance risk assessments, audits, and remediation planning.
• Leadership skills with experience mentoring or managing cross-functional teams.

Other Requirements

• Proven experience working within hybrid cloud/on-premise SAP landscapes.
• Certifications related to data governance, security, or compliance (e.g., CDMP, CISA, CIPP, CISSP) are highly desirable.
• Experience in SAP BDC or large-scale data migration programs is an advantage.
• Ability to travel domestically and internationally as needed.

Job Requirements

• Education
  
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, Cybersecurity, or related field.

• Certifications (preferred)
  
  • Certified Data Management Professional (CDMP)
  • Certified Information Systems Auditor (CISA)
  • Certified Information Privacy Professional (CIPP)
  • Certified Information Systems Security Professional (CISSP)

• Experience
  
  • 10+ years in master data management, data governance, and compliance roles, with 5+ years in leadership positions, preferably within SAP environments or large enterprise data programs.

By joining the Service Line People Advisory Services, you will become part of a rapidly growing business area that deals with compliance related topics surrounding Short Term Business Travel. You will support multinational companies in the efficient management of this complex area by designing and developing state-of-the-art software solutions tailored to the needs of our clients. You will take on a wide range of tasks:

Your skillset

As an EY Enterprise Data Architect within the EY SAP Enterprise Data Management Initiative, you will lead the definition, design, and execution of scalable data architecture strategies to support enterprise-wide data migration and transformation programs. This role ensures data integrity, consistency, scalability, and alignment with the organization’s enterprise data standards, while enabling long-term data governance.

Your key responsibilities

• Lead the end-to-end data architecture strategy across SAP BDC initiatives, including data modeling, transformation, and governance.
• Define target and transition architectures for both SAP and non-SAP data domains, integrating with modern platforms such as Azure, AWS, Snowflake, and Databricks.
• Ensure data platform alignment with architectural principles across hybrid cloud environments, leveraging third-party tools from Microsoft, Nvidia, Google, and others.
• Design and validate data flows, lineage, and integration points between legacy systems, SAP S/4HANA, and cloud-based platforms.
• Collaborate with migration teams to drive effective ETL/ELT strategy and data quality frameworks, ensuring consistency across enterprise systems.
• Identify and mitigate data risks, including data duplication, data loss, latency, or security compliance gaps.
• Guide tool selection, integration architecture, and usage of cloud-native services (e.g., Azure Data Factory, BigQuery, Snowpark, Databricks notebooks) to support data lifecycle processes.
• Establish architecture principles for data cataloging, metadata management, lineage tracking, and access control.
• Partner with enterprise architecture, SAP consultants, and delivery teams to define data standards and governance models.
• Provide oversight to ensure data platform scalability, including handling structured, semi-structured, and unstructured data across various ingestion pipelines.
• Review technical deliverables and mentor teams on best practices in data architecture and integration design.

Skills and attributes for success

• Strong background in enterprise data architecture and SAP data management (SAP BDC, SAP ECC, S/4HANA, MDG, BW/4HANA).
• Experience working with cloud providers and platforms: Databricks, Snowflake, Microsoft Azure, AWS, Google Cloud, Nvidia RAPIDS,.
• Proficiency in data modeling (conceptual, logical, physical), data governance, and metadata management.
• Experience designing and governing large-scale data migration and transformation initiatives.
• Knowledge of data migration tools such as SAP BODS, LSMW, IDocs, or CPI.
• Solid understanding of data privacy and compliance standards (GDPR, HIPAA, etc.).
• Strong leadership, stakeholder management, and cross-functional collaboration skills.
• Familiarity with architecture frameworks such as TOGAF or DAMA-DMBOK.

Other Requirements:

• Strong experience in offshore/onsite working model and working with global teams.
• Certifications in cloud platforms, TOGAF, or SAP data technologies are a plus.
• Exposure to Agile delivery and DevOps concepts is desirable.
• Ability to travel (international/domestic) based on project needs.

Job Requirements:

BS/MS in Computer Science, Information Systems, Data Engineering, or a related field.

12–15+ years of experience in enterprise data architecture, with at least 7 years in SAP and related data transformation environments.

Job Summary

As a Data Engineer / Integration Specialist within the EY SAP Enterprise Data Management Initiative run by SAP Platforms & Assets, you will be responsible for designing, building, and optimizing scalable data pipelines and system integrations for data management and transformation projects.

You will be part of a global team creating an advanced, cloud-enabled data platform that uses technologies from SAP, Databricks, Snowflake, NVIDIA and Microsoft. Your focus will be to enable seamless data movement, transformation, and integration between SAP systems and modern data platforms, ensuring data availability and quality across multiple environments.

This role requires a hands-on, technically proficient individual with deep experience in both SAP integration and modern cloud-native data engineering.

Essential Functions of the Job

• Build and maintain ETL/ELT data pipelines and integrations to support SAP BDC migration and transformation workflows.
• Develop scalable data flows connecting SAP systems with cloud platforms such as Databricks, Azure Synapse, and Snowflake.
• Integrate SAP data (IDocs, BAPIs, flat files) with modern data lakes, warehouses, and analytical tools using Databricks, Nvidia RAPIDS, and other technologies.
• Optimize data transformation jobs for performance, reliability, and maintainability in hybrid or multi-cloud setups.
• Collaborate with architects to ensure integration solutions align with enterprise data strategy and standards.
• Apply best practices in data security, encryption, data masking, and compliance within integration pipelines.
• Develop reusable scripts, connectors, and data wrangling logic across SAP and cloud-native environments.
• Monitor data jobs, troubleshoot failures, and perform root cause analysis to resolve complex data movement issues.
• Use CI/CD practices to automate deployment of data jobs across dev/test/prod environments.
• Document technical specifications, mappings, job flows, and operational procedures to support long-term maintainability.

Knowledge and Skills Requirements

• Deep experience with SAP BDC, data migration, and SAP integration techniques (LSMW, IDocs, BAPIs, BDC recordings).
• Strong proficiency in ETL tools and frameworks, e.g., SAP BODS, Azure Data Factory, Informatica, or Talend.
• Hands-on with cloud-based integration services, e.g., AWS Glue, Google Dataflow, Snowflake Tasks/Streams, or Databricks Workflows.
• Familiarity with cloud data platforms (Azure Synapse, Google BigQuery, Snowflake) and parallel compute frameworks (Nvidia RAPIDS, PySpark).
• Strong skills in SQL, scripting (Python, Shell), and version control (Git).
• Knowledge of API integrations, message queues, and event-driven data pipelines.
• Experience in data quality validation and exception handling within pipelines.
• Comfortable working in Agile delivery and CI/CD environments.

Other Requirements

• Strong collaboration skills in global delivery models (onshore/offshore).
• Certifications in relevant tools or cloud platforms (e.g., Azure Data Engineer, AWS Big Data) are a plus.
• Working experience in regulated or large enterprise data environments is desirable.
• Ability to travel based on project or client needs.

Job Requirements

• Education
  
  • BS/MS in Computer Science, Data Engineering, Information Systems, or related field.

• Experience
  
  • 8–12+ years of experience in data engineering and system integration, with 3–5 years focused on SAP data pipelines and cloud integration technologies.

France-Île-de-France; Germany-Düsseldorf; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

ADay in the Lifeof the EMEA Data Product Manager & Owner:

You’ll begin your day by reviewing data products performance and reliability signals across your portfolio - usage and adoption trends, data quality scores, pipeline SLAs/SLOs, and customer feedback. You’ll meet with internal customers to connect business outcomes to clear data products objectives, refining priorities to unlock measurable value.

When EMEAspecific regulatory constraints (e.g., GDPR) arise, you’ll partner with Legal, Security, and HR to chart compliant pathways that keep delivery moving.

You will work with data engineering, platform, architecture and governance teams to clarify data contracts, schemas, lineage, and access models, ensuring every increment is productionready and governed by design. You’ll groom the roadmap and backlog, decomposing epics, sharpening acceptance criteria, and balancing new capabilities with technical debt, observability, and cost optimization. You’ll demo recent increments, capture user feedback, and turn it into testable stories that improve usability, trust, and performance. You’ll brief sponsors on value realized and present investment options for the next phases.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.

The role:

Reporting to the Data Strategy & Enablement Sr Manager, the EMEA Data Product Manager & Owner is accountable endend for strategy and dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of product strategy, stakeholder leadership, and handson ownership to ship secure, compliant, and scalable data products that power analytics, AI, and operational workflows across the region.

Key Responsibilities:

• Product vision & strategy: Define a 12–24‑month vision, value hypotheses, and positioning for EMEA data products, maintain an outcome‑based roadmap aligned with enterprise standards and local needs.
• Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
• Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time‑to‑data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
• Data governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
• Data contracts & semantics: Maintain versioned schemas and contracts, define business rules and semantic layers that ensure interoperability across domains.
• Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country‑specific requirements.
• Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
• Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
• Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
• Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
• Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

• Bachelor’s in Business, Computer Science, Engineering, or related field.
• 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Medtech/pharma/consulting experience is a plus.
• Proven success delivering data products from concept to scaled adoption (data product mindset desirable).
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Practical understanding of ELT/ETL, event streaming, data modeling, semantic layers, and production operations (SLAs/SLOs, observability).
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
• Excellent communication and facilitation, able to influence executive, technical, and non‑technical audiences.
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

• A passion for enabling teams with trustworthy, usable data, and a bias for measurable outcomes.
• Ownership mindset with high accountability for user satisfaction and product reliability.
• Pragmatic product instincts: you simplify, focus, and ship, balancing new value with platform hygiene and cost.
• Curiosity for emerging capabilities (semantic modeling, GenAI augmentation …etc.) and how to apply them responsibly.

What do we offer:

• A chance to shape the EMEA data product portfolio and set enterprise‑wide standards.
• A collaborative, global network and supportive coaching culture focused on your growth.
• Opportunities to lead high‑impact initiatives that advance analytics and AI adoption across diverse markets.
• A coaching culture environment focusing on your success and development!

ADay in the Lifeof the EMEA AI Product Owner:

You’ll begin your day translating business needs into technical requirements, prioritizing features in the backlog, and overseeing the AI product lifecycle to ensure successful, ethical, and valuable implementations. Key responsibilities include defining success criteria, collaborating with data scientists and engineers, and bridging the gap between business goals and AI capabilities.

You will work on initiatives like AgentForce AI, PACE and other new AI opportunities in the region.

You will collaborate with the AI Product Managers, Data Engineering, Platform, Architecture, and Governance teams to clarify data contracts, schemas, lineage, and access models, ensuring each increment is production-ready and guided by design. You’ll groom the roadmap and write user stories to add to the backlog, break down epics, refine acceptance criteria, and balance new features with technical debt, observability, and cost efficiency. You’ll demo recent increments, gather user feedback, and turn it into testable stories that enhance usability, trust, and performance. You’ll brief sponsors on the value delivered and present investment options for the next phases.

Your role is more technically demanding, requiring an understanding of AI technologies and ethical considerations. You must navigate challenges like data privacy and compliance with data protection regulations. Additionally, you will manage AI bias by providing diverse datasets for model training and using bias detection mechanisms to monitor AI outputs.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.

The role:

Reporting to the Product Ownership Sr Manager, the EMEA AI Product Owner is accountable for the dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of AI technology expertise, stakeholder leadership, and hands-on ownership to deliver secure, compliant solutions for the EMEA region.

Key Responsibilities:

• Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
• Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time‑to‑data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
• Privacy and Data Governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
• Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country‑specific requirements.
• Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
• Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
• Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
• Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
• Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

• Bachelor’s in Business, Computer Science, Engineering, or related field.
• 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Experience in medtech, pharma/consulting is a plus.
• Strong understanding of AI, machine learning, and data science concepts. Proven success delivering AI products from concept to scaled adoption. Strong understanding of ethical AI considerations.
• Excellent communication and collaboration skills.
• Experience in defining product roadmaps and requirements.
• Familiarity with AI tools and a data-driven approach.
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
• Excellent communication and facilitation, able to influence executive, technical, and non‑technical audiences.
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

• Ownership mindset with high accountability for user satisfaction and product reliability.
• • Pragmatic product instincts: you simplify, focus, and drive value creation and delivery of AI products
• • Learning agility and curiosity about emerging capabilities and responsible ways to apply them.

What do we offer:

• A chance to drive innovation by delivering meaningful AI solutions across the EMEA region.
• A collaborative, global network and supportive coaching culture focused on your growth.
• Opportunities to lead high‑