20 beste Stellen als data science in speyer – aktuell auf Personalsuche

Enterprise Data Architect
EY —Mannheim
- Azure
- Informatik
- Master
DHBW-Student/-in Wirtschaftsinformatik - Data Science
Nettropolis AG —Bruchsal
- Oracle
- Hochschulreife
- Mathematikkenntnisse
AI Engineer (m/f/x)
osapiens —Mannheim
- Hybrides Arbeiten
- Master
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Intern (m/f/d) Operational Controlling Analytics
Phoenix Medical —Mannheim
- 2.322 € pro Monat
- Microsoft Excel
- Microsoft Office
- Master
- Flexible Arbeitszeiten
Senior AI Researcher - Pre-training Data (m/f/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
- Flexible Arbeitszeiten
Officer for the SynthImmune BSL2/BSL3 Imaging Facility (f/m/d)
Universitätsklinikum Heidelberg —Heidelberg
- Vollzeit
- Doktorat
- Forschungserfahrung
- Python
- Flexible Arbeitszeiten
Senior AI / Data Science Engineer
Buhl Data Service GmbH —Mannheim
- Vollzeit
- DevOps
- APIs
- Künstliche Intelligenz
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
Direkt bewerben
Process Intelligence Engineer (m/f/d)
Phoenix Medical —Mannheim
- Master
- Datenbanken
- SQL
Laboratory Scientist - Automation (Proteomics) (m/f/d)
GlaxoSmithKline —Heidelberg
- 55.050 € – 91.750 € pro Jahr
- Vollzeit
- Forschungserfahrung
- Master
- Python
PhD - cardiac immunometabolism (m/f/d)
Universitätsklinikum Heidelberg —Heidelberg
- Teilzeit
- Doktorat
- Krankenhaus
- Master
10 Tage
Scientific Solution Architect
Deutsches Krebsforschungszentrum —Heidelberg
- Vollzeit
- Doktorat
- Informatik
- Softwareentwicklung
- Flexible Arbeitszeiten
Research Scientist – Proteomics Workflow Innovation (m/f/d)
GlaxoSmithKline —Heidelberg
- 55.050 € – 91.750 € pro Jahr
- Vollzeit
- Doktorat
- Datenanalyse
- Forschungserfahrung
Product Owner / Product Manager (m/f/d) (AI Factory)
Phoenix Medical —Mannheim
- Informatik
- Master
- Bachelor
Team Lead Position in Data-Centric AI
Deutsches Krebsforschungszentrum —Heidelberg
- Vollzeit
- Doktorat
- Informatik
- Machine Learning
- Flexible Arbeitszeiten
11 Tage
Bachelor/Master Thesis oder Praxissemester im Bereich Research & Development
mbits imaging GmbH —Heidelberg
- Arbeitgeber anrufen
- Informatik
- Künstliche Intelligenz
- Praktikum
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Technical Support Engineer (Europe)–Advanced Imaging Systems
CSR Europe GmbH —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Forschungserfahrung
- Mit Reiseanteil
- Führungserfahrung
5 Tage
Masterand:in Deep Learning mit Graph-Datenbanken für R&I-Fließbilder (m/w/d)
BASF SE —Ludwigshafen am Rhein
- Arbeitgeber anrufen
- Master
- Python
- Aufstiegsmöglichkeiten
- Flexible Arbeitszeiten
(Senior) Scientist (f/m/d) – Automation Technologies (80 – 100%)
ABB AG —Mannheim
- Vollzeit
Direkt bewerben
5 Tage
IT&D Manager
Reckitt —Heidelberg
- CRM-Software
- Doktorat
- Informatik
- Employee Assistance Program
- Lebensversicherung
Praktikum / Abschlussarbeit (m/w/d)
Solve42 GmbH —Mannheim
- Vollzeit
- Englisch
- Machine Learning
- Softwareentwicklung
- Kostenbeteiligung am Arbeitsweg
- Weiterbildungsprogramme

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data science jobs near speyer

Enterprise Data Architect

EY -
Mannheim

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Details zur Stelle

Qualifikationen

Datenmodellierung
Azure
Informatik
Informationssysteme
Google Cloud Platform
SAP BW 4HANA
Master
AWS
Datenpflege
TOGAF
SAP S/4HANA
SAP ERP
SAP BusinessObjects

Vollständige Stellenbeschreibung

Location: Mannheim

Other locations: Primary Location Only

Salary: Competitive

Date: May 22, 2026

Job description

Requisition ID: 1697882

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

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.

As part of this role, you will work closely with a high-performing team that is building a modern, enterprise-grade data platform using products from leading providers such as Microsoft, Nvidia, Databricks, Snowflake, AWS, and Google. You will ensure that platform-level design decisions align with EY’s enterprise strategy while enabling seamless integration between SAP and modern cloud ecosystems.

You will collaborate with technical, functional, and business teams to design optimal data models, flows, and frameworks that support SAP BDC processes and accelerate digital transformation.

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:

Education:

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

Experience:

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

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Erweiterte Suche

data science Jobs in speyer

Enterprise Data Architect

DHBW-Student/-in Wirtschaftsinformatik - Data Science

AI Engineer (m/f/x)

Intern (m/f/d) Operational Controlling Analytics

Senior AI Researcher - Pre-training Data (m/f/d)

Officer for the SynthImmune BSL2/BSL3 Imaging Facility (f/m/d)

Senior AI / Data Science Engineer

Process Intelligence Engineer (m/f/d)

Laboratory Scientist - Automation (Proteomics) (m/f/d)

PhD - cardiac immunometabolism (m/f/d)

Scientific Solution Architect

Research Scientist – Proteomics Workflow Innovation (m/f/d)

Product Owner / Product Manager (m/f/d) (AI Factory)

Team Lead Position in Data-Centric AI

Bachelor/Master Thesis oder Praxissemester im Bereich Research & Development

Technical Support Engineer (Europe)–Advanced Imaging Systems

Masterand:in Deep Learning mit Graph-Datenbanken für R&I-Fließbilder (m/w/d)

(Senior) Scientist (f/m/d) – Automation Technologies (80 – 100%)

IT&D Manager

Praktikum / Abschlussarbeit (m/w/d)

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