Data Engineer (all genders)
Gropyus · Berlin, Berlin
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
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 features and operating 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.
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 through managed data pipelines
Contribute to initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc)
Adhere to best practices and rigor in development including documentation, testing, and validation
Experience working with a tech stack similar to
Programming languages like Python or Kotlin.
Databases like Postgres, BigQuery, Graph DB
Tools like: Kubernetes, Docker, Terraform, Dagster, DBT
CI/CD: Azure Devops
Observability & Monitoring: Graphana, Honeycomb
Ability to complete work as directed with guidance from senior engineers or leadership
Experience resolving issues related to pipeline health, platform features and testing for prevention and handling
You have experience in creating, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration
You have experience following best practice guidelines in data and software engineering including monitoring and observation
Optional Experience
Machine Learning and AI agents
Database Administration
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 , and if you have any questions, please reach out to us via email .
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Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Where data engineers move nextevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer31% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 26 open data architect roles92% readiness from data engineer
- 573 open solutions architect roles62% readiness from data engineer
- 231 open data analyst roles60% readiness from data engineer
- 30 open database administrator roles57% readiness from data engineer
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