Senior Data Analyst: Data Engineering Lead (Hybrid)

Optiveum; Gdańsk; Hybrid; PLN 116,000 - 193,000; Full time

Job summary

Optiveum is partnering with a prominent client to hire a Senior Data Analyst for the Recovery Data Management team. The role is hybrid (2-3 days in the office) and based in Gdańsk, Gdynia, or Warsaw, Poland.

You will translate business requirements into scalable data solutions, designing data models and pipelines with SQL, Python, Snowflake, dbt and Airflow, taking ownership from design to production deployment.

Qualifications

• Minimum 4 years of professional experience in Data Engineering and Data Warehousing.
• Strong programming experience with SQL and Python.
• Proven track record with Snowflake, dbt, and Airflow.
• Strong data modeling skills and scalable data pipelines.
• Experience with API integrations and modern data architectures.
• Solid software engineering practices including Git, CI/CD, automated testing, and DevOps.
• Fluent English for international collaboration.

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 CI/CD and automated testing practices.
• Ensuring the long-term maintainability, stability, and reliability of all delivered solutions.

Skills

SQL

Python

Data Modeling

API Integrations

Git

CI/CD

Automated Testing

DevOps

Tools

Snowflake

dbt

Airflow

Job description

Optiveum is partnering with a prominent client to hire a Senior Data Analyst for the Recovery Data Management team. The role is hybrid (2-3 days in the office) and based in Gdańsk, Gdynia, or Warsaw, Poland.

You will translate business requirements into scalable data solutions, designing data models and pipelines with SQL, Python, Snowflake, dbt and Airflow, taking ownership from design to production deployment.