Senior Data & Analytical Engineer

Your mission

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.

Your profile

Your responsibilities:

• Design, develop, and maintain scalable streaming data pipelines and infrastructure using Python and SQL.
• Work closely with our sustainability domain experts to ensure business logic is accurately reflected across data flows.
• Build and optimize pipelines using Apache Airflow, dbt, Snowflake with a focus on reliability and performance.
• Write robust SQL to extract, transform, validate, and reconcile data from multiple internal and external sources.
• Partner with data analysts and fellow engineers to ensure data is well-structured, discoverable, and fit for analytics and product use cases.
• Contribute to code reviews, technical documentation, and engineering best-practice initiatives.
• Drive improvements in data quality, testing, monitoring, and observability across the platform.
• Maintain comprehensive documentation of data models, transformations, lineage, and business rules.

We would like to hear from you if you have…

• 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 using tools like dbt
• Experience owning/maintaining/improving ETL processes,
• Very good database knowledge (database design and programming), e.g. PostgreSQL

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
• 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?

Why BuildingMinds?

• Opportunity to work with a diverse team with people from all over the world, with a supportive atmosphere.  
• A hybrid work policy   
• A modern office environment   
• Apple latest technology for your best efficiency  
• The opportunity to shape building sustainability   
• Urban Sports Club membership 
• BVG subsidy 
• A variety of snacks and drinks in the office