Key responsibilities include but are not limited to:

• Architect, develop, and manage the data platform to support efficient data ingestion, transformation, quality assurance, monitoring, and accessibility
• Collaborate closely with cross-functional teams to understand data needs

Technologies you will work with include:

• Google Cloud Platform (CloudRun, BigQuery, Pub/Sub, Dataform, etc.)
• SQLMesh
• Terraform / Terramate
• GitHub Actions
• Python and SQL
• Looker

Dein Profil

• Proven experience (2+ years) in a data engineering role, preferably within a fast-paced tech company or similar environment
• Strong understanding of data concepts at scale ranging from data ingestion, transformation and modeling
• Strong understanding of software engineering best practices and their application to data pipelines
• Experience with data governance, especially around implementing and managing data catalogs, IAM, ensuring metadata management and efficient data discovery
• Experience with Python, SQL, and HCL (terraform)
• Extensive experience working with a public cloud provider, ideally Google Cloud Platform (GCP), and a solid understanding of its data services
• Experience with BI tools and how to integrate these with a modern data setup
• Strong customer-centric mindset with a deep understanding of the importance of product thinking when enabling software delivery teams to build data-driven solutions
• Very good knowledge of spoken and written english, german is a plus

Bonus points for:

• Prior experience with IoT applications and streaming data processing (e.g. GCP Dataflow, Apache Beam, Apache Flink, etc.)
• Having worked in a scale up environment at a company of similar size
• Interest in the climate tech industry
• Be part of a dynamic team dedicated to reshaping the energy landscape. If you're passionate about leveraging data to drive innovation in renewable energy solutions, join us in our quest to make a sustainable difference.