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Salary
up to $76k per year (net)
Location
Hybrid (Gdańsk, Gdynia, Warsaw, Poland)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match
Headquartered in Lublin, Poland, Optiveum is a boutique IT recruitment and consulting firm specializing in technical talent acquisition, staff augmentation, and HR advisory services across Central and Eastern Europe (CEE). The company partners with international enterprises and technology startups - primarily across Western Europe, the Nordic region, and Israel - to source high-demand software developers, systems architects, and specialized engineering professionals. In addition to direct-hire recruitment and flexible team scaling, it provides strategic market-entry consulting, Recruitment Process Outsourcing (RPO), and cross-border operational guidance. By connecting organizations with pre-vetted regional technical talent and managing end-to-end hiring workflows, Optiveum enables businesses to cost-effectively expand their engineering capacity and accelerate digital product delivery.

Data Analyst

About the Offer

We are currently looking for a Data Analyst to join the Recovery Data Management team of our client from the banking industry. You will support the ongoing development of data solutions in the Recovery domain, working closely with business stakeholders and technology teams to turn business requirements into scalable and reliable data solutions. You will work independently, take ownership of deliveries and quickly build domain knowledge in the Recovery data area. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.

Key Details:

  • Rate: up to 150 PLN/h net (B2B)

  • Work Model: hybrid, 2-3 days per week from the office, full-time (40 h/week)

  • Location: Gdańsk, Gdynia or Warsaw

Responsibilities:

  • Gathering and analysing business requirements

  • Designing, developing and maintaining data models and resilient data pipelines

  • Owning deliveries end to end: from requirements through implementation and testing to production deployment

  • Building solutions with SQL, Python, Snowflake, dbt and Airflow

  • Integrating data through enterprise APIs and other data sources

  • Driving automation and applying modern engineering practices, including CI/CD and automated testing

  • Ensuring the long-term maintainability, stability and reliability of delivered solutions

Requirements:

  • At least 4 years of experience in Data Engineering and Data Warehousing

  • Strong hands-on experience with SQL and Python

  • Proven experience with Snowflake, dbt and Airflow

  • Strong data modelling skills and experience designing scalable, resilient data pipelines

  • Experience with API integrations and modern data architectures

  • Solid software engineering practices: Git, CI/CD, automated testing and DevOps ways of working

  • Ability to work independently and take ownership of deliveries

  • Fluent English

  • Willingness to provide a criminal record certificate

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