Senior Data Engineer (Databricks)

Company: OPTIVEUM sp. z o.o.

Locations: Łódź, Łódź Voivodeship, Poland; Auburn, Maine, United States; Capon Bridge, West Virginia, United States; Gdynia, Pomeranian Voivodeship, Poland

Work arrangement: Hybrid

Employment type: Full-time

Experience: 5-10 years

Posted: 2026-11-12

Responsibilities

You will design, develop, and support enterprise data solutions using Databricks while collaborating with stakeholders to deliver scalable data platforms. Additionally, you will maintain data models, optimize platform performance, and mentor junior engineers.

Requirements

Candidates must have strong experience with Databricks, PySpark, and advanced SQL, along with expertise in cloud data technologies like Azure. Proficiency in data modeling, ETL processes, and working within Agile delivery teams is required.

Skills

  • Databricks
  • PySpark
  • SQL
  • Data Engineering
  • ETL
  • Data Modeling
  • Azure Data Lake
  • Azure Data Factory
  • Cloud Architecture
  • CI/CD
  • Data Governance
  • Agile
  • Performance Optimization
  • Data Warehousing

About this role

Senior Data Engineer (Databricks)
About the Offer
We are currently looking for a Senior Data Engineer with Databricks experience to join the Risk Technology team of our client. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.
You will design, develop and support enterprise data solutions using Databricks, working closely with business and technology stakeholders to deliver scalable, high-quality data platforms and analytics capabilities.
Key Details:
Rate: up to 135 PLN/h (B2B)
Work Model: 100% remote from Poland, with occasional visits to the office in Poznań or Wrocław, full-time (40h/week)
Languages: Polish and English (advanced)
Responsibilities:
Design and build data pipelines using Databricks, PySpark and SQL
Develop and maintain data models, ETL processes and reporting datasets
Optimise data quality, performance and scalability across the platform
Collaborate with business users, analysts and developers to deliver data-driven solutions
Support cloud-based data architecture, CI/CD and data governance initiatives
Mentor junior engineers and promote engineering best practices
Requirements:
Strong experience with Databricks and PySpark
Advanced SQL and data warehousing expertise
Experience with Azure Data Lake, Azure Data Factory or similar cloud data technologies
Knowledge of data modelling, ETL/ELT and performance optimisation
Experience working in Agile delivery teams
Advanced Polish and English
Nice to Have:
Experience within Financial Services, Risk, Regulatory or ESG technology environments
Exposure to Power BI, Python, DevOps and cloud-native architectures

About OPTIVEUM sp. z o.o.

Outsourcing and Offshoring Consulting · 2-10 employees · headquartered in WARSZAWA, mazowieckie · founded 2020

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