Staff Engineer jobs in Germany
Boston Scientific Senior Data Platform & MLOps Engineer EMEA - Dusseldorf Germany, North Rhine-Westphalia, Dusseldorf
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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‑
These jobs might be a good fit
Johnson Electric Systems Engineer Germany, North Rhine-Westphalia, Aachen
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As a Systems Engineer, you will support global project teams in designing system architecture, managing requirements, and performing component and system testing. Working in a cross-functional team, you’ll help develop integrated mechatronic systems for automotive applications, combining hydraulic systems with motors, controllers, and software. You will also contribute to process improvements and testing through bench and vehicle integration.
Your Responsibilities will be to:
Develop mechatronic systems according to the V-Model in compliance with automotive standards
Understand system requirements on a multi-disciplinary level, define sub-systems and interfaces
Coordinate with global expert teams
Design and develop systems and system architectures based on customer requirements and for internal development activities
Support in defining the testing strategy and scope and support testing and validation on system and integration level
Work closely with customer and inter-company development team
Our requirements:
Master's degree in Mechanical Engineering, Systems Engineering or related fields
Relevant experience of ideally 2-3 years in a similar position
Proficiency in reading technical drawings and ability to create, interpret schematics and diagrams
Able to navigate in CAD systems and able to understand FEA and CFD results
Practical experience in mechanical and hydraulic systems
Solid experience in common development tools (e.g. Matlab, Simulink)
Familiarity with tools which manage requirements (e.g. Doors, Helix) is a plus
Solid understanding of physical principles
Excellent team player with a proactive, hands-on attitude, strong communication and problem-solving skills
Proficiency in English (both spoken and written), while proficiency in German is highly preferred
What we offer:
Top-industry compensation and benefits package
Work-life balance: through flexible working hours and 6 weeks of vacation
The opportunity to develop your professional skills thanks to the wide range of products we manufacture
Modern workspaces, good transport connections, free parking in the car park, health promotion, business bike, company pension scheme, regular company events, company football, and much more
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Boston Scientific Field Service Engineer Germany, North Rhine-Westphalia
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Ihr Aufgabenbereich:
Ihr Profil:
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West Pharma Senior Project Engineer m/f/d Germany, North Rhine – Westphalia
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Contract Details: fulltime, permanent
: asap
- Support and execution of technical installations, infrastructure, and technical building projects.
- Documentation and preparation of technical drawings for the projects.
- Management, monitoring, and documentation of the budget for assigned projects.
- Provision of technical expertise for all technical projects in the areas of air purification in production, and modification and/or upgrade of existing machines/systems.
- Preparation of hazard analyses and risk assessments.
- Preparation of requirement specifications and participation in technical meetings with suppliers.
- Approval of processes, machines, and regulations in accordance with the defined approval procedures.
- Detailed planning of projects carried out during summer or winter shutdowns.
- Coordination of external contractors.
- Completed degree or diploma in engineering or a comparable qualification.
- At least 3 years of professional experience in a technical field, ideally in the pharmaceutical or medical device industry.
- Experience in project management and in leading technical project planning.
- Excellent knowledge of MS Office, AutoCAD, and SolidWorks as well as experience with SAP.
- Ability to read and create technical drawings.
- Knowledge of GMP and ISO standards.
- Excellent command of German and English, both spoken and written.
- Hands-on mentality, analytical thinking, and strong willingness to learn.
- Strong communication and teamwork skills.
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West Pharma Senior Process Engineer m/f/d Germany, North Rhine – Westphalia
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Contract Details:fulltime, permanent
asap
In this role, the position holder will be responsible for the continuous optimization/improvement of existing and future processes.
- Optimize existing production methods, such as analyzing root causes of errors, statistical tracking, and evaluation of articles, as well as ad hoc troubleshooting
- Implement new manufacturing technologies
- Apply the Quality by Design concept before the introduction of new products
- Execute optimization projects or continuous process improvements based on customer requirements and wishes
- Conduct and coordinate validation projects
- Implement and coordinate customer and development projects
- Completed technical engineering degree in mechanical engineering, industrial engineering, electrical engineering, chemistry, or similar disciplines with a focus on production technology
- Several years of professional experience in manufacturing companies, preferably in the pharmaceutical environment, including knowledge of cGMP
- Experience in validation or qualification, capability analyses, and analysis of production processes from technical, quality, and economic perspectives
- Very good German and English skills, both spoken and written
- Knowledge of Lean, Six Sigma, and project management is desirable
- Strong cost and quality awareness, as well as internal and external customer orientation
- Analytical thinking and structured working methods
- Teamwork and strong communication skills
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Johnson Electric Systems Integration Engineer Germany, North Rhine-Westphalia, Aachen
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As a Systems Integration Engineer, you will focus on integrating components into complete systems, ensuring compatibility and seamless operation. Your role includes hands-on testing, troubleshooting, and validating system performance through bench and vehicle-level integration. You’ll work across mechanical, electrical, and software domains to deliver advanced hydraulic systems for automotive applications.
Your Responsibilities will be to:
Develop mechatronic systems according to the V-Model in compliance with automotive standards
Understand system requirements with focus on motor, electronics and software subsystems, define sub-systems and interfaces
Coordinate with global expert teams
Design and develop systems and system architectures based on customer requirements and for internal development activities
Support in defining the testing strategy and scope and support testing and validation on system and integration level
Work closely with customer and inter-company development teams
Our requirements:
Master's degree in Electrical Engineering, Automotive Engineering, Embedded systems, Mechatronics or related fields
Previous experience in similar roles is considered as a plus; fresh graduates are welcome to apply.
Extensive knowledge and experience of electromechanical systems
Experience with BLDC motor controller HW design, circuit analysis and microprocessors for BLDC control applications
Experience with CAN, LIN communication protocols
Knowledge of Functional Safety, Cyber security is a plus
Knowledge of V-Model development processes and ASPICE is a plus
Practical experience with electronic test equipment and Vector Hardware are considered as a plus
Solid experience in common development tools (e.g. Matlab, Simulink)
Familiarity with tools which manage requirements (e.g. Doors, Helix) is a plus
Solid understanding of physical principles
Excellent team player with a proactive, hands-on attitude, strong communication and problem-solving skills
Proficiency in English (both spoken and written), while proficiency in German is highly preferred
What we offer:
Top-industry compensation and benefits package
Work-life balance: through flexible working hours and 6 weeks of vacation
The opportunity to develop your professional skills thanks to the wide range of products we manufacture
Modern workspaces, good transport connections, free parking in the car park, health promotion, business bike, company pension scheme, regular company events, company football, and much more
These jobs might be a good fit
EY SAP Data Engineer / Integration Specialist Germany, Baden-Württemberg, Mannheim
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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.
What we offer you
develop you with future-focused skills and equip you with world-class experiences.
To help createan equitable
These jobs might be a good fit
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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‑
These jobs might be a good fit
