20 beste Stellen als | focus data science & data in berlin, be – aktuell auf Personalsuche

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Snowflake —Berlin
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Finance Digitalization Expert (f/m/d)
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Nucs AI —Berlin
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Direkt bewerben

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| focus data science & data jobs near berlin, be

Supplier Quality Data and Digitalization Expert (f/m/d)

Siemens Energy -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 3 Tagen

Leistungen

Sabbatical

Qualifikationen

Power BI
Informatik
Tableau
Master
Bachelor
Machine Learning
Künstliche Intelligenz

Vollständige Stellenbeschreibung

A Snapshot of Your Day

We are seeking a technical and innovative professional to drive the hands-on implementation,

automation, and optimization of GS C P SQD’s digital infrastructure. In this role, you will lead the

technical deployment of IT tools, data engineering solutions, and AI applications to build a robust,

scalable, and resilient supplier quality ecosystem.

How You’ll Make an Impact

Lead the technical implementation, configuration, and development of GS C P SQD digitalization projects
Deep dive into IT toolsets to customize, integrate, and optimize supplier quality software and platforms
Build and maintain robust data pipelines to ensure flawless data quality, integrity, and synchronization across all systems
Develop and maintain dynamic KPI dashboards, predictive reporting frameworks, and AI driven solutions to enhance decision-making and process performance
Translate supplier quality process requirements into standardized, scalable digital workflows that drive efficiency and consistency; Act as the primary technical interface for IT-related topics, providing troubleshooting, advanced tool training, and digital enablement support for global users
Translate global strategies into practical digital solutions that support supplier quality objectives; Collaborate closely across product lines, regions, central IT departments, and global SQ teams, to ensure system compatibility, knowledge sharing, and smooth solution rollouts.

What You Bring

Bachelor’s or Master’s degree in IT, Computer Science, Data Engineering, or an Engineering/Supply Chain discipline with a strong software focus
Proven experience in data analytics, database management, BI tools (Power BI, Tableau), and automation platforms
Hands-on experience or familiarity with programming languages and applying AI/Machine Learning models to business processes
Strong understanding of how digital tools apply to Supply Chain, Procurement, or Supplier Quality processes
Excellent technical communication skills, with the ability to explain complex digital solutions to non-technical global teams
Fluent in English; additional languages are a plus

About the Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
We also offer the opportunity to become a Siemens Energy shareholder
We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical

We value equal opportunities and welcome applications from people with disabilities.

https://jobs.siemens-energy.com/jobs

Jetzt bewerben

Erweiterte Suche

| focus data science & data Jobs in berlin, be

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Associate Principal/Principal Qualitative Research, Patient Centered Solutions

Product Engineer High‑Tech Manufacturing / Produktverantwortliche:r Ingenieur:in High-Tech Fertigung

Marketing Data Analyst (all genders)

Software Engineer API (f/m/d) - Node.js, SQL

Senior Data Scientist (m/f/x)

Director/Head of Data & AI (f/m/d)

Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin

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Finance Digitalization Expert (f/m/d)

Working Student Optics (m/f/d)

Principal Applied Scientist (Economics, Experimentation & Platform Analytics) at Zalando Search & Discovery (All genders)

Senior Quality Assurance Engineer

Head of Scientific Modelling (all genders)

Bachelor's & Master's Thesis Opportunities - AI, Medical Imaging & Clinical Software

Ich möchte aktuelle Job-E-Mails für Stellen als | focus data science & data in berlin, be erhalten

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