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Data Scientist (m/f/d)

Job Description

As Partner of Choice, our Global Business Services (GBS) center support Siemens’ companies worldwide to achieve excellence in their internal processes in areas such as Finance, Human Resources, Information Technology, Supply Chain, Customer Care and many more.
At GBS, we are on a digital transformation journey to shape the Shared Services Center of the Future. To this end, we use low-code development platforms like Mendix to fundamentally reinvent the way enterprise applications are developed and to create business impact for our customers much faster.

At Lisbon Tech Hub we create value in the digital transition of companies from Portugal to the world. There are more than 1200 professionals working in Cybersecurity, Analytics Business Intelligence, Application Lifecycle Management, IT Project & Service Management and IT Infrastructure Management. Check it out: www.siemens.pt/lxtechhub

We are a global powerhouse focusing on the areas of electrification, automation, and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions the company plays a groundbreaking role.
Looking for a chance to create a positive impact on our society? Join us!


What role will you play?
The Data Analytics value center at Siemens is one of the main corporate IT functions that owns all things data in a global context.
We enable the whole Siemens world to be more data-driven by providing data platforms, products, and skills on a global level.
From on-premise to multiple clouds, SAP HANA to Snowflake, Tableau to Power BI - we work with a large variety of technologies and across most of the business domains and verticals. If it involves data, it involves us!

You will: 
  • Work with one or more cloud platforms (we’re mostly an AWS shop)
  • Building and management of complex data pipelines (streaming and batch) on a Cloud Native and Serverless infrastructure (AWS, Azure)
  • Designing data catalogs and data validations processes to ensure the quality and consistency
  • R&D in IoT Data patterns to propose ways to improve data quality, reliability & efficiency of the whole system
  • Responsible for data lakes maintenance: Expansion, Monitoring, Automation and Disaster Recovery


We are looking for:
  • BS or MS in Computer Science or related technical field or equivalent practical experience
  • Solid & practical knowledge of cloud platform services (especially AWS)
  • Knowledge of cloud data platforms like Snowflake or Redshift (database knowledge in general is valued)
  • Experience in engineering data pipelines and its related services (think Glue, python/scala, dbt, Airflow, etc.)
  • Experience in version control systems (think github/gitlab)
  • Ideally some experience in setting up enterprise service offerings
  • Fluency in English


What we have to offer:
A flexible home office and schedule policy, virtual budget to improve your home office setup, health insurance, a Pension Plan and a Siemens Share Program time and financial support to your studies, medical center in the facilities, sport groups, 2 days for volunteering initiatives and a cool and relaxed environment. 
Access to e-learning platforms (Learnlight, Linkedin Learning and more), discounts with partners.

#Siemens #LXTechHub #ITMakesUsMove

We recognize that building a diverse workforce is crucial to the success of our business. Therefore, Siemens provides equal employment opportunities to all qualified individuals without regard to race, creed, color, religion, national origin, age, gender, marital status, sexual orientation, or non-disqualifying physical or mental handicap or disability.
We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss workplace adjustments with all our applicants to develop agile working and innovation.


Organization: Global Business Services

Company: Siemens S.A.

Experience Level: Mid-level Professional

Job Type: Full-time

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