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Data Engineer PowerBI (Snowflake)
Résumé du poste
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.
Prestations
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.
Responsabilités
- Develop and maintain robust data pipelines using Fivetran.
- Implement and manage data transformation processes using dbt.
- Design, build, and optimize data models in Snowflake.
Connaissances
Formation
Outils
Contract & Salary
Type:B2B contract
Salary:Up to 27,000 PLN (B2B) + paid holidays
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.
Remote — Poland (100% remote role)
Travel:0–10%
Work Authorization:Must be legally authorized to work in Poland
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.
- 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.
- 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.
- 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.
- 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
- Fully remote role based in Poland with minimal travel.
- Focused technical responsibilities with opportunity to deepen data engineering expertise.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.