Senior Data Scientist
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026.
Job Summary
senior engineering role is primarily focused on Fabric and should understand the end-to-end data-development workflow, from ingestion through processing in a Medallion architecture. The incumbent built an advanced metadata framework, so architecture, pipeline-stack design, deployment, and pipeline experience are relevant; visualization experience with Power BI and Fabric Data Agents is also useful.
The Senior Data Engineer will design and deliver scalable data products, lead a small team of engineers, and own the technical roadmap and delivery for assigned platform domains. This role partners with Services, Governance, and senior stakeholders to translate business needs into robust, governed data solutions.
This role combines hands on data engineering with team leadership and delivery ownership. The Senior Data Engineer will own the technical roadmap for key data products, coordinate cross functional delivery, and represent the data platform in senior stakeholder forums.
The ideal candidate will have extensive experience with cloud data platforms and will mentor junior engineers to help them learn best practices and develop their technical skills. A strong background in data engineering is essential, with expertise in PySpark, SQL and the Medallion architecture. Collaboration is key, with the development of solutions involving many areas and disciplines within the team. Our company prides itself on fostering a collaborative environment where innovation and professional growth are encouraged. With a diverse client base ranging from small enterprises to large corporations, you will have the opportunity to engage in varied job activities and expand your professional network both nationally and internationally.
Key Responsibilities
People Leadership and Team Development
·Support the Engineering Manager by taking the lead on L&D of the engineering team, managing the task loads of junior engineers to provide data product outcomes
·Line manage and grow a small team of data engineers; set objectives, conduct performance reviews, and support career development.
·Coach and mentor engineers across multiple squads; run regular technical training and hiring interviews.
Delivery and Program Ownership
·Own end-to-end delivery for assigned data products, including roadmap planning, prioritisation, and release governance.
·Coordinate cross-team delivery (data engineering, services, and platform) to ensure timely, high-quality releases.
Stakeholder Management
·Act as the primary technical liaison to services, governance, and senior stakeholders; present roadmap updates and risk mitigation plans.
Architecture, Standards and Governance
·Define and enforce data platform architecture standards, best practices, and operational SLAs; attend and contribute to review boards for assigned domains.
·Provide the mechanism to allow the governance team to ensure compliance with GDPR, internal policies, maintain data lineage, observability standards and acting on their findings to produce desired/required outcomes.
Budget and Resource Planning
·Contribute to resource planning and budget proposals for the data platform; track spend and recommend optimisations.
Skill Requirements
- Leadership and people management: Proven experience managing engineers or technical teams; strong coaching and hiring experience.
- Delivery and stakeholder management: Experience owning product roadmaps and coordinating cross-functional delivery; ability to present to senior leadership.
- Technical expertise: Highly skilled in PySpark, SQL, cloud data platforms, Medallion architecture, ELT processes, Git, and CI/CD.
- Architecture and governance: Strong understanding of data modelling, metadata, lineage, and data governance frameworks.
- Commercial and vendor sense: Experience with vendor selection, contract oversight, and basic budget stewardship.
- Communication: Effective at translating technical concepts for non-technical stakeholders.
Experience: 5-8 years in data engineering, software engineering, or related technical roles, including 1-2 years of people management or formal leadership responsibilities.