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Senior Big Data & Machine Learning Engineer - M/F Job

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Date: May 16, 2019

City: Paris, 75, FR

Company: SAP



Requisition ID: 212924
Work Area: Information Technology
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time

SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.



Within the BI&AS organization, the Intelligent Data & Analytics team assumes SAP-wide ownership for management reporting/planning and in this context drives SAP’s Business Intelligence strategy, promotes the actual usage of BI solutions in tight collaboration with the business BI-, development- and IT teams. The Intelligent Data & Analytics team is an execution-focused organization collaboratively working cross functions to ensure the adoption of best practices and enabling a scalable, world class analytics foundation fully leveraging technology innovations to provide global transparency out of one single source of truth reporting system. In addition, the Intelligent Data & Analytics function delivers pre-defined services with a clear customer focus on the best leverage of economies of scale.


By enabling best in class reporting processes relying on one unified BI model with pre-defined standards, the team fosters a culture of fact-based decision making and effectively drives the transformation towards managing analytics as an enterprise-wide asset according to SAP’s strategy and key business priorities.


The position is a unique opportunity to combine and develop a wide range of skills to build innovative solutions, leveraging latest technologies in the area of Analytics, Data warehousing, Data Integration, and predictive / machine learning solutions.


The main objective will be to contribute to design and development of corporate platform and frameworks, to enable efficient end to end big data and data science projects solution delivery and operation, at large scale and at lowest possible TCO.


This includes providing implementing sustainable data integration and processing capabilities suitable for big data analytics and predictive scenarios with any type (structured to unstructured) / any size of data, and implementing frameworks to handle at scale the Company Machine Learning and Advanced Data Analytics Artifacts (predictive models, etc)





The tasks will include:


  • Develop constructive collaboration with all big data and data science stakeholders (e.g. Data Scientists) to understand requirements and pain points, and provide sustainable and re-usable solutions
  • Evaluate and implement, in a sustainable and compliant way, the latest technologies suitable for big data and data science solutions enablement
  • Contribute to roadmap definition of corporate platforms and frameworks to ensure release of latest technologies, without disrupting productive solutions
  • Articulate detailed architecture proposals, develop and implement best in class solutions for ingestion, processing and modeling of all types of data in the Cloud and On-Premise, to suit data science requirement and end to end data integration solutions
  • Actively contribute to define, develop and implement solutions and frameworks to manage predictive models assets at large scale
  • Consider future market trends and technologies
  • Partner with product and engineering teams to solve problems and identify trends and opportunities. Develop tight collaboration with the P&I organization, to ensure that the SAP Enterprise Analytics organization enable the SAP Lines of Business with best utilization of SAP Products





  • Professional development skills in Python / Spark (in Hadoop environment, and with Kafka) for data integration and machine learning solutions
  • Capacity and willing to work on platform core setup activities (e.g. setup Kubernetes, Docker)
  • Knowledge and strong interest in SAP Data Management suite (SAP DATA HUB, HANA)
  • Good understanding of data science project cycles, machine learning techniques and how to implement them to solve business problems
  • Knowledge of Agile development methodologies (CI/CD), and tools (GitHub, Jenkins)
  • Good presentation and communication skills
  • Fluent in English (written and verbal)




Development Experience in Python/Spark in Hadoop environment

Experience with core platform setup (setup software like Kubernetes, Kafka…) in Cloud Environment

Comfortable with working in international teams


Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: or, APJ:, EMEA:

Successful candidates might be required to undergo a background verification with an external vendor.

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