We are seeking a technically strong Senior Data Engineer to join a growing team delivering mission‑critical data solutions. This role requires a combination of development expertise and operational responsibility, ensuring that data platforms remain reliable, scalable, and fully aligned with business priorities. The ideal candidate is experienced, methodical, and comfortable balancing multiple concurrent tasks while maintaining high standards.
Key Responsibilities
* Design, build, and maintain robust and scalable data pipelines and architectures.
* Work with Databricks, Microsoft Fabric, Azure ADF, Synapse, SQL, Python, and Spark.
* Support operational data platforms, handling incidents, requests, and enhancements across multiple stakeholders.
* Use ticketing systems to prioritize, track, and resolve issues, communicating clearly and professionally with stakeholders.
* Collaborate with a small, agile team where shared responsibility and accountability are expected.
* Contribute to a culture of technical excellence, continuous improvement, and mentorship.
Required Skills and Experience
* Hands‑on experience with Databricks or Microsoft Fabric.
* Strong programming skills in Python and Spark.
* Solid experience with Azure data services (ADF, Synapse, Function Apps).
* Demonstrated ability to manage multiple operational priorities with clear communication and accountability.
* Experience coaching or guiding team members is highly desirable.
* Proven record of end‑to‑end delivery of data platforms or solutions.
* Experience creating or interpreting architecture diagrams.
* Exposure to multiple data systems and ability to adopt new technologies quickly.
Why This Role
* Fully remote‑first team, with structured flexibility.
* Collaborative and professional culture, where technical ownership and reliability are valued.
* Opportunity to work on advanced data platforms and grow your technical career in a highly competent team.
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