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Databricks Data Engineer/Architect

Open 23d reposted 17× · 17 open copies

Join our data engineering team as we develop and scale our enterprise data platform. We are building a high-performance ecosystem designed to manage large-scale datasets, ranging from structured to unstructured formats. In this role, you will help modernize our data infrastructure by implementing cutting-edge storage and processing solutions. You will play a key part in designing how we ingest, process, and govern data to provide reliable insights across the organization.

Tech stack:

  • Databricks (Unity Catalog, Delta Live Tables)
  • Python (PySpark), SQL
  • Azure, AWS, or GCP
  • Data Lakehouse, Data Mesh, Data Marts
  • DevOps, CI/CD Pipelines
  • Agile (Scrum/Kanban)

About Spyrosoft

Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

  • At least 8 years in Data Engineering, with a minimum of 2 years specifically in Big Data environments.
  • 4+ years of hands-on experience with Databricks services, including data pipelines and Unity Catalog.
  • Expert-level skills in Python and SQL.
  • Strong background in Data Warehousing, ETL, and distributed data processing.
  • Deep understanding of Data Lakes, Data Warehouses, and Data Mesh concepts.
  • Experience with at least one public cloud (Azure, AWS, or GCP) and strong design skills for both relational and non-relational storage.
  • Analytical mindset capable of troubleshooting complex issues in a big data landscape.
  • Very good verbal and written English B2/C1
  • Experience working in Agile (Scrum/Kanban) environments.

See also