Databricks Data Engineer/Architect

Spyrosoft • Doctoral Degree (PhD) • Python • SQL • ETL/ELT • 1 month ago
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Salary
$76k – $96k per year
Location
Remote (Poland)
Seniority
Architect · 8+ years exp
Employment
Full-Time
Overview
Company
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Spyrosoft

Spyrosoft is a global technology group founded in 2016 that specializes in digital transformation and custom software engineering for clients worldwide. The company provides a comprehensive suite of services, including product design, AI/ML, cloud solutions, and embedded systems, across diverse industries such as automotive, finance, healthcare, and robotics. Listed on the Warsaw Stock Exchange, the group operates as a network of specialized companies that empower businesses to scale and thrive through innovative technology.
spyro-soft.com • HQ: Wrocław, Poland • Artificial Intelligence • Information Technology • Software • 51-200 employees • Est. 2016

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)

Requirements:

  • 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.

Project description:

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.

Main responsibilities:

  • Design and maintain robust data pipelines and distributed data processing systems using Databricks.

  • Implement and manage data governance and security frameworks via Unity Catalog.

  • Develop sophisticated data models (Relational and Non-Relational) to support complex analytical requirements.

  • Improve the performance and reliability of Big Data workflows and ETL processes.

  • Work within an Agile environment, integrating DevOps and CI/CD principles into the data lifecycle.

  • Act as a subject matter expert, guiding the team through complex big data challenges and architectural decisions.

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