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Data Engineer

2 months ago

Edinburgh, Edinburgh, United Kingdom Building Atlas Full time
About Building Atlas

We are a pioneering company dedicated to transforming the commercial real estate sector into a fully sustainable industry. Our mission is to rapidly scale building retrofits, making the most sustainable building the one that already exists. With a zero-touch approach, we empower owners of commercial real estate portfolios to find the best path to retrofitting their buildings, avoid stranding risk, and increase the value of their assets.

Job Description

We are seeking a highly skilled Data Engineer to join our team at Building Atlas. As a Data Engineer, you will play a critical role in managing our data ingestion and storage platform, enabling us to train our models and advise our customers on how to move their properties to being fully sustainable.

Key Responsibilities:
  • Design and implement robust data pipelines in Python to efficiently ingest, transform, and store data
  • Clean and preprocess messy real-world data to ensure its trustworthiness and usability
  • Develop and implement appropriate data storage solutions, ideally cloud-based solutions (we use GCP)
  • Extract data from external APIs and integrate it into our platform
  • Utilize version control systems (i.e. Git) and CI/CD pipelines to facilitate collaboration and fast deployment
  • Participate in code reviews, share knowledge, and provide feedback with peers to improve code quality and promote best practices
  • Contribute to general software engineering or ML tasks when required
Requirements:
  • 2+ years of experience in a Data Engineering position (or Software Engineering/Data Science position with a significant Data Engineering component)
  • Demonstrated experience creating and deploying robust data pipelines
  • Experience working with externally generated datasets
  • Familiarity with data storage technologies (e.g., relational DB, object stores, warehouses, NoSQL)
  • Experience with cloud platforms and cloud-native data services
  • Proficiency in Python and SQL
  • Strong analytical and problem-solving skills with the ability to work on complex data challenges

Having experience in one of the following areas would be highly desirable:

  • Writing production-quality Python code in a software application
  • Working with ML models and deploying them

Additionally, experience with geographic or urban datasets would be advantageous but not essential.