Senior Data Engineer (m/f/d)

SimScale is an engineering simulation platform that is revolutionizing the way engineers, designers, scientists, and architects design products. The SimScale platform is accessible completely via a web browser, with an easy-to-use interface which supports numerous simulation types including Structural Mechanics, Fluid Dynamics and Thermodynamics.

By harnessing the power of the cloud for simulation, SimScale eliminates the hurdles that accompany traditional simulation tools: high installation costs, licensing fees, deployment of high-performance computing hardware, and required updates and maintenance. Users always have the latest version of SimScale.

Your Opportunity

SimScale s mission, democratizing engineering simulations, comes with its own data challenges. We deal with petabytes of information that we want to be able to leverage in order to generate business value. How can we make those data available for machine learning? Do we have the best architecture to handle growth? How can we lower our storage costs? How do we ensure data privacy? As a Senior Data Engineer (m/f/d) you will be shaping the answers to those questions on a daily basis.

What we expect from you

• 8+ years of experience having worked as a data engineer / data architect before
• PhD or Master's degree in Computer Science or related field, or equivalent professional experience
• Industry experience managing large amounts of data in a complex environment (several stakeholders, machine learning demands)
• Experience with big data technologies (Open-source: Spark, Kafka, Kudu)
• AWS knowledge (lambda/step functions, S3, Glue, Sagemaker)
• Proficiency in SQL
• Experience with corporate dashboards, data governance strategies
• Experience dealing with non-technical stakeholders (marketing, sales, C-suite)
• Excellent ability to learn fast and pick up new libraries, programming languages, and algorithms
• Familiarity with an agile way of working
• Experience as a data scientist, or machine learning engineer is a plus
• Having worked in a migration project from traditional data warehouses to big data / cloud infrastructure is also beneficial

What you can expect from us

• A dedicated team with high expertise, and the opportunity for unrestricted personal growth - start your career with us and become a leader
• Your opinion and ideas matter to us - we will give you space to make an impact quickly through goal-oriented tasks and projects that leave space for creativity
• A multicultural and inclusive work environment: we come from more than 35 different countries!
• Manage when and where you work with flexible working hours and remote work
• Your health is important: We offer health insurance (medical, dental, vision, disability, etc.), retirement insurance, company pension scheme, paid sick time off, and paid vacation
• Enjoy freshly cooked lunches in our office every Monday and Wednesday, or receive regular gift cards as a remote employee
• Feel positive about yourself with a gym membership in Munich, Basketball meetups, virtual sports challenges and internal wellbeing support
• Professional and personal development opportunities, online learning, language courses and tech talks
• Relocation and visa support to ease your (and your family s) relocation
• Fun team events, internal support groups for living in Germany and regular trips to Munich if you join us remotely

At SimScale, we look beyond borders and hire great talent from all parts of the world. With our team consisting of people from various backgrounds, we truly embrace diversity and encourage everyone to be themselves. We are unified by curiosity, dedication and our team spirit! As an equal opportunity employer, we acknowledge that our employees have different aspirations and career goals, and therefore are committed to create a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.