Senior Data Analyst
At a glance
Senior 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
- Turn business needs into data solutions by working with stakeholders and technology teams
- Create and maintain data models and dependable pipelines, then carry work through testing and production release
- Build and tune data workflows with SQL, Python, Snowflake, dbt and Airflow
- Connect APIs and other data sources, and automate delivery with CI/CD and automated tests
- Keep delivered solutions stable and maintainable over time
What you bring
- At least four years working in data engineering and data warehousing
- Hands-on ability with SQL and Python, plus practical work using Snowflake, dbt and Airflow
- Experience shaping data models and building scalable, resilient pipelines, including API integrations
- Fluent English and working knowledge of Git, CI/CD, automated testing and DevOps practices
Who this fits
This role suits a senior analyst who can own delivery independently and build knowledge of the Recovery domain quickly. You’ll work from the Gdańsk, Gdynia or Warsaw area, with two to three office days each week. Fluent English is required.
From the employer
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
Language: Fluent English
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.
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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