Data Analyst
At a glance
Mid-level Data Analysis & BI role at OPTIVEUM sp. z o.o. Gdańsk · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Translate business needs into data solutions by clarifying requirements with stakeholders and technology teams
- Build and maintain data models and robust pipelines using SQL, Python, Snowflake, dbt and Airflow
- Carry work from initial requirements through implementation, testing and release to production
- Connect data through enterprise APIs and other sources, while automating work and applying CI/CD and testing practices
- Keep delivered solutions stable, dependable and maintainable over time
What you bring
- At least four years working in data engineering and data warehousing
- Strong practical ability with SQL and Python, plus experience using Snowflake, dbt and Airflow
- You can design data models and scalable, resilient pipelines, and integrate APIs
- You work independently, own delivery, and bring Git, CI/CD, automated testing and DevOps practices
- Fluent English and willingness to provide a criminal record certificate
Who this fits
This mid-level role suits someone ready to work independently and take ownership while building knowledge of Recovery data. The schedule is hybrid, with two to three office days each week, in Gdańsk, Gdynia or Warsaw. You would work full-time and sign the cooperation agreement with Optiveum.
From the employer
Data Analyst
About the OfferWe 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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