Senior Data & Analytical Engineer (m/f/d)
Berlin
BuildingMinds
Discover the future of digital real estate with the data platform that helps you drive ESG, sustainability and performance.Your mission
We are on the lookout for talented, passionate natural-born disruptors to join our team and become a “NetZero Hero”
How we work…
Being on the forefront of disrupting an entire industry, we offer the freedom to be creative and forward-thinking. As a start-up in Berlin and with the full backing of Schindler, we also have the stability, support and resources of an established world leader in the buildings industry. This enables us to bring together the best of two worlds and to create an utterly unique culture of creativity, accelerated innovation and learning. We value speed, agility and creativity.
What you’ll do
- 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
Your profile
What you bring
- 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
- 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
- A diverse team with people from all over the world, of all ages with a supportive atmosphere and good vibes
- A hybrid Berlin work policy
- Annual learning budget focusing on people's professional and personal development
- Apple latest technology for your best efficiency
- The opportunity to shape building sustainability
- Competitive compensation and benefits plus a variety of snacks and drinks in the office.
- Unlimited working contract with 30 days of vacation per year
- Free German classes with Goethe Institute
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure Databricks Data pipelines dbt Docker ELT ETL Flink Kafka Kubernetes Machine Learning Pipelines PostgreSQL Python REST API Snowflake SQL
Perks/benefits: Career development Competitive pay Unlimited paid time off
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