Senior Data Engineer (f/m/d)

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.

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