Senior Data Engineer
Astral Forest
- Indiana, Pennsylvania, United States
- Indiana, Pennsylvania, United States
About
Responsibilities
Design & Build:
Design and develop Azure-based data solutions using Azure Data Factory, Databricks, Azure SQL Database, and Azure Synapse Analytics; Build data pipelines with ADF / Databricks; Design and implement Data Warehouses, Data Lakehouses, and Data Lakes; Propose and execute modern BI solutions tailored to client needs.
Consult & Advise:
Assess existing architecture and recommend improvements; Prepare technical input for proposals and offers; Stay up-to-date with trends and new technologies in data engineering.
DevOps & Quality:
Develop Azure DevOps pipelines to support full CI/CD lifecycles; Ensure solutions meet high standards of data security and quality; Collaborate closely with the team, sharing knowledge and solving problems together.
What we are looking for
At least 5‑6 years of experience working as a Data Engineer, with a focus on Azure Stack Data and Analytics.
Strong skills in SQL, Python/Scala (nice to have).
Experience in data modelling, integration, and security.
Strong problem‑solving and analytical skills, with the ability to work independently and as part of a team.
Most importantly: Willing to learn and grow.
Full English proficiency is a must (B2/C1).
What we offer
Remote‑first, flexible working model.
Private healthcare, insurance and MultiSport.
Full working equipment provided.
1,000 PLN annual development budget for training, certifications, or conferences.
Regular knowledge‑sharing sessions and mentoring.
Work with international clients from Switzerland, France, UK, the US, UAE, and more.
A real team, where knowledge‑sharing isn’t just a slogan.
Team integrations that help you connect without awkward icebreakers.
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Languages
- English
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