Data Analyst

Optiveum

. Support the ongoing development of data solutions in the Recovery domain .

Posted 10/27/2026full-timeWarsaw • PolandMid-LevelSenior💰 PLN 150 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering and Data Warehousing, with a strong focus on designing and maintaining scalable data models and resilient data pipelines using SQL, Python, Snowflake, dbt, and Airflow. Proven ability to integrate data through APIs and apply modern engineering practices such as CI/CD and automated testing.

Highest-signal resume keywords

Data EngineeringSQLPythonSnowflakeData Modelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingSQLPythonData ModellingAPI IntegrationsResilient Data PipelinesAutomated TestingCI/CDDevOps

Soft Skills

OwnershipIndependenceCollaboration

Tools & Technologies

SnowflakeDbtAirflowGit

Certifications & Qualifications

Criminal Record Certificate

Industry Keywords

Data SolutionsModern Data ArchitecturesEnterprise APIs

Tech Stack

Tools & technologies

AirflowPythonSnowflakeSQL

About the role

Key responsibilities & impact

Support the ongoing development of data solutions in the Recovery domain
Work closely with business stakeholders and technology teams to turn business requirements into scalable and reliable data solutions
Gather and analyse business requirements
Design, develop and maintain data models and resilient data pipelines
Own deliveries end to end, from requirements through implementation and testing to production deployment
Build solutions with SQL, Python, Snowflake, dbt and Airflow
Integrate data through enterprise APIs and other data sources
Drive automation and apply modern engineering practices, including CI/CD and automated testing
Ensure the long-term maintainability, stability and reliability of delivered solutions

Requirements

What you’ll need

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

Benefits

Comp & perks

Full-time work model (40 h/week)
Hybrid work model
Project-based or permanent job opportunities are offered by the company generally (not explicitly as a benefit of this role)