
Hybrid Senior Data Engineer (Grade E3) chez Jobs at Scottish Funding Council | Scottish Funding Council Careers
Jobs at Scottish Funding Council | Scottish Funding Council Careers · Edinburgh, Royaume-Uni · Hybrid
- Senior
- Bureau à Edinburgh
Key Responsibilities
- Translate business requirements into technical specifications, roadmaps and deliverable data solutions, including data streams, integrations, transformations, databases, data warehouses, and business intelligence, reporting and analytical platforms.
- Define the data architecture framework, standards and principles, including modelling, metadata, security and data virtualisation.
- Support the Head of Data Engineering to develop and enhance standards and policies/guidelines whilst driving adoption of standards.
- Define data flows and data lineage, visualising which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition.
- Provide technical guidance and advice to help in the design and development of data solutions for data modelling and warehousing, data integration, and analytics.
- Provide direction and support to a team of data engineers and provide technical guidance on the data products.
- Develop roadmaps for both product related DE work as well as overall data maturity roadmap.
- Drive the design, building, and launching of new data models and data pipelines in production.
- Perform peer reviews, audits, standards compliance checks and due diligence as required.
- Report delivery progress and status to both internal and external stakeholders.
Skills, Knowledge and Expertise
- Proven track record of designing, developing and delivering enterprise-scale data products and solutions within the Microsoft Azure ecosystem.
- Advanced proficiency in SQL and modern data processing frameworks, coupled with strong programming skills in at least one language (Python preferred).
- Comprehensive expertise in data architecture, including dimensional modelling, data warehouse design patterns, and business intelligence solution architecture.
- Deep hands-on technical knowledge acquired through extensive practical implementation experience.
- Exceptional analytical capabilities with proven ability to conduct comprehensive data profiling, source system analysis, and deliver actionable insights that drive business value.
- Demonstrated ability to translate complex technical concepts into clear, compelling narratives for diverse stakeholder audiences.
- Proven leadership experience in guiding and mentoring data engineering teams, fostering technical excellence and professional growth.
- Track record of identifying strategic data opportunities, initiating transformative projects, and driving technical direction from concept to successful delivery.
- Strong stakeholder management skills with the ability to influence and align technical solutions with organisational objectives.
- Outstanding interpersonal skills with demonstrated ability to engage effectively with technical teams and business stakeholders.
- Expertise in requirements gathering, solution design, and cross-functional collaboration.
- Degree level education (SCQF level 9) or equivalent experience, ideally in a technical field such as Computer Science, Mathematics or Physics.
- Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher.
- Significant exposure to Azure utilising some of the following: Azure Synapse Analytics, Azure SQL, Azure Data Factory, Azure Data Lake, Azure DevOps and PowerBI.
- Azure Data Engineer Associate certification or higher OR Azure AI Engineer Associate certification or higher.
- Experience implementing solutions using Microsoft Fabric.
Terms and Benefits
Although most salaried roles are advertised as full time positions (35 hours a week), we are happy to discuss part-time or compressed hours to suit a candidates circumstances. We also operate a flexible working scheme to work around a candidate's other commitments such as caring responsibilities.
We will consider secondment applications for most salaried fixed-term or temporary positions and in many cases also for salaried permanent positions. If you are interested in applying on a secondment basis and this option is not explicitly mentioned in the job advert, please contact [email protected] for further information.