Gropyus

Senior Data Engineer (f/m/d)

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

About The Company

GROPYUS is a technology-based construction company focused on building multi-story residential buildings. Thanks to its prefabricated building system with various design options, industrial offsite construction, and fully digitalized processes, the company manufactures aspirational, sustainable, and affordable homes using timber construction methods. GROPYUS is using scalable construction and manufacturing solutions to tap into a future market, boost Europe's strength in innovation, while also playing a substantial role in improving sustainability.

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

Experience working with a tech stack similar to: 

Programming languages like Python or Kotlin. 

Databases like Postgres, BigQuery, Spark, Graph DB 

Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

Cloud Storage Platforms  

You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

Some knowledge about semantic web technologies like RDF and OWL 

Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

Experience working with construction industry data and / or complex and large datasets 

Data Science, Machine Learning and AI agents  

What we offer:

Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 

It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.

Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.

Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.

Be an owner: Participate in the success of GROPYUS through stock options.

Join us on our mission to design buildings as continuously evolving products to create the most exciting and affordable experience for all. We build for people and conserve the resources of our planet.

We can't wait to get to know you. 
For more information, visit our website.

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Operations Python Senior Data Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer (f/m/d) role.
  2. How would you approach your first 30 days at Gropyus?
  3. Which of Data Analysis, Operations and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Operations and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer (f/m/d) role because I can bring practical experience in Data Analysis, Operations and Python, learn the team quickly, and contribute to the outcomes Gropyus needs from this hire.

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