Senior Data Analyst
At OPTIVEUM sp. z o.o. · Gdańsk; Gdańsk, Poland; Gdynia, Poland; Warsaw; Warsaw, Poland
- Data and ML
- Senior
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Where you’ll work
Hybrid, based in Gdańsk or Warsaw
“Gdańsk”
From the location.
“Gdańsk, Poland”
From the job board field.
“Gdynia, Poland”
From the job board field.
“Warsaw”
From the location.
“Warsaw, Poland”
From the job board field.
“Location: Gdańsk, Gdynia, or Warsaw”
From the job description.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 6 October 2026
- First seen by us
- 15 October 2026
- Last checked
- 44 hours ago
Job description
From OPTIVEUM sp. z o.o.’s job post, as they wrote it.
Senior Data Analyst
Optiveum is partnering with a prominent client to find a Senior Data Analyst for their Recovery Data Management team. For this role, Optiveum acts as both the recruitment and the contracting party, meaning you will sign the cooperation agreement directly with us.
Key Details:
* Work Model: Hybrid (2-3 days in the office per week)
* Location: Gdańsk, Gdynia, or Warsaw
* Rate: Up to 140 PLN/h
Read the full description
* Language: Fluent English
About the Role:
You will support the ongoing development of data solutions within the Recovery domain. Working closely with business stakeholders and technology teams, you will translate business requirements into scalable and reliable data solutions. You are expected to work independently, take ownership of your deliveries, and quickly build domain knowledge.
Your Responsibilities:
* Gathering and analyzing business requirements.
* Designing, developing, and maintaining data models and resilient data pipelines.
* Taking full ownership of deliveries—from requirements through implementation, testing, and production deployment.
* Building and optimizing solutions using SQL, Python, Snowflake, dbt, and Airflow.
* Integrating data through enterprise APIs and various 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 all delivered solutions.
Must-Have Qualifications:
* Minimum 4 years of professional experience in Data Engineering and Data Warehousing.
* Strong, hands-on programming experience with SQL and Python.
* Proven track record working with Snowflake, dbt, and Airflow.
* Strong data modeling skills and experience designing scalable, resilient data pipelines.
* Experience with API integrations and modern data architectures.
* Solid software engineering practices, including Git, CI/CD, automated testing, and DevOps methodologies.
* Fluent in English, allowing for seamless communication in an international environment.
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