JobsData AnalystUnited StatesSenior Data Analyst
OPTIVEUM sp. z o.o.
Posted today · Jobs at OPTIVEUM sp. z o.o.
Senior Data Analyst
OPTIVEUM sp. z o.o. · Auburn, Maine, United States · also Capon Bridge, West Virginia, United States
In short
You will be responsible for gathering business requirements and designing, developing, and maintaining scalable data models and resilient pipelines. Additionally, you will drive automation and ensure the long-term stability of data solutions using modern engineering practices.
What they're looking for
MUST-HAVE SKILLS
ALSO MENTIONED
Candidates must have at least 4 years of professional experience in Data Engineering and Data Warehousing with strong proficiency in SQL and Python. You are also required to have hands-on experience with Snowflake, dbt, Airflow, and modern software engineering practices like CI/CD.
About OPTIVEUM sp. z o.o.
WEBSITE
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Questions about this role
- Is this OPTIVEUM sp. z o.o. role remote?
- Tagged hybrid · 3 days in office.
- Does it sponsor visas?
- Listed as no visa sponsorship.
- What experience does it ask for?
- Listed as 2-5 years.
The posting, in full
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. Work Model: Hybrid (2-3 days in the office per week) Location: Gdańsk, Gdynia, or Warsaw
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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
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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