Data Engineer Life Sciences (m/f/d)

  • Altran Technologies
  • München, Germany
  • 25/06/2021
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

Capgemini Engineering combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Altran – acquired by Capgemini in 2020 - and Capgemini's digital manufacturing expertise. With broad industry knowledge and cutting-edge technologies in digital and software, Capgemini Engineering supports the convergence of the physical and digital worlds. Combined with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 52,000 engineer and scientist team members in over 30 countries across sectors including aeronautics, automotive, railways, communications, energy, life sciences, semiconductors, software & internet, space & defence, and consumer products.

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

Get the Future You Want |

Unser Angebot

Capgemini is one of the world's leading providers of management and IT consulting, digital transformation, and technology and engineering services. The Group is driven every day by their purpose to unlock human potential through technology - for an inclusive and sustainable future. Capgemini is a responsible and diverse organisation with a team of 270,000 employees in nearly 50 countries. A 50-year history and deep industry expertise are key to why clients entrust Capgemini with the full spectrum of their business needs - from strategy and design to business operations. The company focuses on rapidly evolving innovations in cloud, data, AI, connectivity, software, digital engineering and platforms.In Capgemini Engineering, with a focus on engineering and R&D, we want to grow together with you. Are you passionate about innovative digital solutions and want to shape progress with us? Are you the ONE for Capgemini Engineering?GET THE FUTURE YOU WANT!Welcome to the Life Sciences division with 13,000 Life Science Industry Experts. As a global innovation provider and integration partner, we offer Intelligent Industry in our portfolio, including Data Driven R&D (AI for Drug Discovery, Intelligent Clinical Trials), Data & AI Platforms, Smart Factory (Digital Twins, IoT,), SAMed (software as medical device), Patient Engagement, Digital Therapeutics Frameworks, up to AI for Regulatory & Compliance.WHAT WE OFFER

  • Exciting mix of projects in R&D and Digital Manufacturing, high learning effects as well as varied fields of activity from the world of Capegemini Engineering for the most renowned clients in Biopharma, Medtech and Costumer Health
  • High transparency in career development in an extremely dynamic work environment, where promotion opportunities and perspective have a great deal of scope
  • Appreciative, diverse work environment, a „Duz culture“, individually tailored training opportunities, web-based training platform with internal and external training opportunities
  • Numerous networking opportunities via professional and technical communities, but also celebrating across locations is part of our culture (e. g. team events, summer party, kick-off events etc.)

Ihre Aufgaben

  • Design and development of end-to-end data pipelines as part of existing projects to operationalize AI at our customers, including in the life science sector
  • Development of a flexible architecture that can cover different use cases
  • Consulting on the operation of existing and newly developed data pipelines in terms of the DevOps approach
  • Analyze and troubleshoot existing data pipelines
  • Responsibility for all aspects of Data Management in close collaboration with our Data Science team
  • Assist in the implementation of key data quality processes and metrics

Ihr Profil

  • Successfully completed studies in the field of computer science, computer science or comparable education
  • At least 2 years of professional experience in the following technologies: Kafka/Spark or Data Bricks or GCP Data like BigQuery and Dataflow, Engineering, Git, Docker, Kubernetes as well as in an ETL tool (e. g. Talend)
  • Solid experience in big data processing (Big Data) and cloud (AWS or GCP)
  • Relevant experience in data pipelining as well as microservice architecture
  • Experience in working with agile project methodologies
  • Very good English skills

WE LOOK FORWARD TO MEETING YOUDo you have any question about the job profile and/or the requirements? Please get in touch with your contact person in Recruiting:Altran Deutschland S.A.S. & Co. KG
Sophie Künzel
+49 (0)172 4558554
sophie.kuenzel@capgemini.comPlease fill in our online application form completely and attach your CV, work and school certificates as well as any other relevant documents. We wish you every success for your job application!Capgemini Engineering is committed to the employment of a diverse workforce. Qualified applicants are considered regardless of their origin, skin colour, religion, gender, age, sexual orientation, gender identity, gender expression, veteran status or disability.