Data Architect & Engineer (m/f/d)

  • Vollzeit
  • München

Webseite Motius R&D GmbH

As Data Architect & Engineer (m/f/d) you’re a permanent part of our A.I. Cluster and join our diverse R&D projects (each ~3-9 months duration) in small and agile teams as Lead Engineer. You can find sample projects in our Motius Success Stories.

In this role, you’ll not only be part of 1 or 2 of our exciting projects, but you’ll also help our A.I. cluster to become constantly better, e.g. by creating reusable components and assets or by coaching and mentoring younger engineers during their career development. In addition, our tech clusters are responsible for creating roadmaps and evaluating upcoming technologies and programming languages to be realized in future projects. Internally we call this position Tech Specialist.

Your role
Lead Engineer in our R&D projects with engineering teams of 2-5 people
Depending on your background and your preference you are building complex big data/analytics plattform, data warehouses and data pipelines for a wide range of industries and for different use cases
Providing data in suitable storage technologies for various application purposes such as interactive dashboards and statistical analyses
Defining the right tech stack and setting up the architecture for the projects, mostly working with the team in the HQ in Munich or remotely – we don’t do customer-on-site consulting
Following a two-weekly Scrum process using GitLab, Jira, Slack, Continous Integration & Delivery, etc.
Mentoring and coaching younger engineers, making sure we build high quality products
Constantly improving our A.I. cluster and building up knowledge by introducing new tools, best practices or frameworks and sharing learning from our projects

Your profile
University degree in Computer Science, Software Engineering, Data Science, Mathematics or in similar disciplines and at least 2 years of experience in agile development projects
Strong experience in conception and implementation of data platforms, data management processes (including Lambda Architecture: Steaming vs. Batch-Processing) and ETL pipelines with Python and in using the Hadoop ecosystem such as Spark, Kafka, Hive or HBase, Experience with cloud solutions like AWS products and services (Sagemaker, Glue, Lambda, SNS, SQS, S3, …) or equivalent Azure/GCP services, Proven experience in deploying and monitoring ML models in a production setup (MLOps)
Experience in engineering practices such as code refactoring, design patterns, design/test driven development, continuous integration, building highly scalable applications/digital product
Strong analytical and problem solving skills paired with the ability to develop creative and efficient solutions for our clients
Comfortable with ambiguity and rapid changes common in early-stage product development and strong command of English language (both verbal and written), German is a plus

Our offer
Unique and inspiring working culture with many smart engineers from diverse backgrounds (e.g. software developers, Embedded system engineers, Mechanical engineers, Computer Vision researchers etc.) coming from over 15 different countries
Exciting insights into the markets, technologies and products of the future through collaboration with clients from a wide range of industries plus the opportunity to accelerate our clients’ innovation cycles
Fulltime & permanent employment as a Tech Specialist and a defined Talent Journey for your further development, as well as regular peer reviews
Own personal development budget and our regular Tech Discovery for learning and discovering new technologies
Pushing and realizing the topics that you’re interested in and using Motius as a machine for that

Other perks & benefits of a startup: Lots of flexibility and responsibility, flat hierarchies, regular team building and company events, free access to our workshop area, and also to Makerspace.

You can find more details and reasons why you should join Motius in our latest blog post and on Instagram @team_motius. We are looking forward to receiving your application with CV, motivation letter, possible start date, and salary expectation.

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