Data Engineer
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Position Overview & Specifications
BI Data Developer/Engineer.
Business Intelligence / SQL / Azure SQL data warehousing / Microsoft SQL Server or Azure SQL DB / ETL / ELT / Data Lake / Kimball data modelling / Azure DevOps
The Data engineers will build and deliver the components of an effective Analytics platform; leveraging data warehouse storage, utilising Azure Data Factory for data integration and Power BI for end-user data analytics and reporting.
This role will play a critical part in the architectural design and implementation of these elements - capable of meeting a wide range of reporting/analytics needs. This role will encompass a mix of hands-on technical development and strategy development; supporting the faculty to continue its journey to develop its analytics platform on next-generation technology.
Skills needed
- SQL Data Warehousing
- Experience of cloud architectures and solutions, especially Azure ADF
- Azure Data Factory with experience building and debugging pipelines.
- Microsoft SQL Server
- Data modelling
- Develop BI/MI solutions
- Azure Data Lake
Desirable Skills and Knowledge
- Azure DevOps/Jira
- Agile development
- Power BI (Tabular Model)
- Kimball data modelling
- DAX
- Meta-data driven ETL
What you will be doing:
- Work in an agile, proactive manner delivering high-quality solutions in agreed timescales.
- Design and develop ETL/ELT processes, data warehouse database architecture, Tabular Model, reports and dashboards; in-line with company reporting strategy and best practise.
- Design and develop models and databases both relational and dimensional to support reporting requirements.
- Assist in developing standards for data warehouse, data ingestion, data access layers and BI solutions
- Help mentor, steer and supervise your team from a technical standpoint while influencing technical direction
- Ensure the University maintains a low technical debt & identify an area for automation (CI/CD pipelines) and continuous improvement
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Colleges & Universities
Based on transatlantic hiring benchmarks for Data Engineer roles across Manchester Metropolitan University's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Colleges & Universities.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £33,348 - £37,386 bracket, including retirement vesting and health parity.
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