Senior Data & Analytical Engineer (m/f/d)

BuildingMinds, a market-leading Proptech backed by the Schindler Group with over €100 million in investment, is transforming real estate management for many of the world’s top real estate funds. Over the past seven years, we have helped property owners create a digital brain for their buildings by integrating data through forms, document uploaders, Generative AI extractors, meter integrations, and utility connections, ensuring transparency, accuracy, and comparability across portfolios.

Our platform simplifies compliance with frameworks like GRESB, SFDR, and CRREM, empowering ESG teams to benchmark performance, rank interventions, and unlock energy savings. By enriching reports with actionable insights and assessing risks, clients can meet regulatory demands, enhance sustainability efforts, and improve operational efficiency.

BuildingMinds also supports property operations by optimizing investments, simulating ROI, and driving ESG improvements. We enable smarter interventions that maximize rental income and reduce environmental impact.

By integrating ESG data into financial strategies, we help asset and portfolio managers quantify green premiums, mitigate risks, and enhance valuations for acquisitions or divestments. BuildingMinds drives sustainable growth, operational excellence, and stronger returns across the real estate industry.

Your profile

What you will be doing :

• Collaborate with Product Owners, Tech Leads, Developers and Data Engineers to understand, design and improve data platform capabilities.
• Build and optimize robust, scalable data pipelines, ETL and ELT processes
• Architect, build and optimize cloud data platform foundation.
• Architect, build and optimize machine learning and AI based services.
• Integrate and manage diverse data sources.
• Mentor and lead junior engineers.
• Lead design and implementation of best practices

What we need from you :

• 5 - 10 years of experience as a Data Platform Engineer, Data or Analytical Engineer.
• Strong craftsmanship in Python and SQL.
• Experience owning / maintaining / improving analytical data modeling practices usingtools like dbt.
• Experience owning / maintaining / improving ETL processes.
• Very good database knowledge (database design and programming), e.g. PostgreSQL.
• Practical knowledge of the Azure data stack is highly beneficial (Azure Data Lake, Databricks, Data Factory, etc.)

What will make you stand out :

• Familiarity with Microservice paradigms and related technologies, such as Kubernetes, Docker and REST API’s.
• Proficiency in Apache Kafka and Apache Flink.
• 1-2 years of hands-on production grade Snowflake experience including architecture design, query and cost monitoring and optimization.
• Experience with development and deployment of machine learning and AI models

Why us?

We offer you :

• Opportunity to work with a diverse team with people from all over the world, of all ages with a supportive atmosphere.
• Annual learning budget focusing on people professional and personal development
• The opportunity to shape ESG in thebuilt environment
• Competitive compensation and benefits

About us

The real estate industry is changing rapidly. At BuildingMinds, we prepare real estate managers for the trends and unexpected challenges of tomorrow. We empower businesses – by making them adaptable, resilient and agile.

Our team of more than 100 outstanding experts from diverse backgrounds use the power of data to create a more sustainable and profitable real estate industry. Our cooperative approach, interdisciplinary teamwork and flat hierarchy enable us to learn and innovate. BuildingMinds – real estate management services from professionals, for professionals.

Our vision is to transform real estate from a resource-consuming industry into a resource- generating industry.

At BuildingMinds, we are committed to fostering a diverse, inclusive, and equitable workplace. We ensure fair and equal treatment of all employees and applicants, regardless of background, identity, or experience. This includes equal pay for equal work, as well as equitable opportunities for growth, development, and career advancement.