Data Engineer PowerBI (Snowflake)

OPTIVEUM sp. z o.o.; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading SaaS company is seeking a Data Engineer with expertise in Power BI and Snowflake to develop and maintain scalable data pipelines. This fully remote role requires collaboration with a technical team and strong SQL proficiency. Ideal candidates will have 1-2 years of hands-on experience building data integration pipelines and transforming data using tools like dbt. Join us to contribute to a technological transformation in the insurance sector and enhance your data engineering expertise.

Benefits

Fully remote role

Opportunity to deepen data engineering expertise

Qualifications

• 1-2 years of hands-on experience with Snowflake or similar cloud data warehouse technologies.
• Proven experience building and maintaining data integration pipelines using Fivetran or similar tools.
• Practical experience with dbt for data transformation and modeling.

Responsibilities

• Develop and maintain robust data pipelines using Fivetran.
• Implement and manage data transformation processes using dbt.
• Design, build, and optimize data models in Snowflake.

Skills

Snowflake

Fivetran

dbt

SQL

Power BI

Python

Education

Bachelor’s degree in Data Engineering, Computer Science, Information Systems, or related field

Tools

Snowflake

Fivetran

dbt

Power BI

Job description

Data Engineer, Power BI (Snowflake)

Contract & Salary

Type:B2B contract

Salary:Up to 27,000 PLN (B2B) + paid holidays

Our Client

Our client is a leader in the SaaS industry, specializing in innovative software solutions for insurance companies. With over 20 years of experience, they deliver a comprehensive suite that supports key insurance operations, including policies, claims, reinsurance, and payments.

Currently undergoing a major technological transformation, the company is establishing a Competence Center in Warsaw and transitioning towards a Cloud Native, multi-tenant platform to modernize its infrastructure. This strategic investment in cloud services aims to create a scalable, efficient, and future-ready system.

Location

Remote — Poland (100% remote role)

Travel:0–10%

Work Authorization:Must be legally authorized to work in Poland

About the role:

You will be responsible for developing, implementing, and maintaining scalable data pipelines and data models, ensuring high data quality and consistency. Your work will support analytical and reporting needs across the organization.

Primary Responsibilities

• Develop and maintain robust data pipelines using Fivetran to ingest data from multiple sources.
• Implement and manage data transformation processes using dbt, ensuring consistency and quality.
• Design, build, and optimize data models in Snowflake to support analytics and reporting.
• Collaborate with senior data engineers to troubleshoot data issues and deliver high‑quality solutions.
• Contribute to best practices in data engineering and pipeline development.
• Support dashboard and report development in Power BI to surface insights for internal teams.
• Focus entirely on technical execution without direct stakeholder engagement.

Required Qualifications

• Bachelor’s degree or equivalent work experience in Data Engineering, Computer Science, Information Systems, or related field.
• 1–2 years of hands‑on experience with Snowflake or similar cloud data warehouse technologies.
• Proven experience building and maintaining data integration pipelines (using Fivetran or similar tools).
• Practical experience with dbt for data transformation and modeling.
• SQL proficiency with 2+ years writing complex queries and building materialized tables/views via dbt.
• Working knowledge of Power BI for data visualization and reporting.
• Able to work effectively as part of a technical data engineering team.

Preferred Qualifications

• Experience building and deploying dashboards and reports in Power BI.
• Familiarity with additional cloud data tooling and platforms (Azure Data Factory, Tableau).
• Strong problem‑solving skills and attention to data quality.

Skills & Tools

• Data Warehousing: Snowflake
• ETL/ELT Tools: Fivetran
• Transformation Framework: dbt
• SQL: Advanced proficiency
• Visualization: Power BI (preferred)
• Additional analytics or automation languages (Python, etc.) a plus

Why Join

• Fully remote role based in Poland with minimal travel.
• Focused technical responsibilities with opportunity to deepen data engineering expertise.