JOB TITLE: Senior Datawarehouse Developer

REPORTS TO TITLE: Data-Warehouse Lead

BUSINESS FUNCTION/ SUB-FUNCTION: Data and Information

LOCATION: Manchester/other campus

­­­­­­­­­­­­­­­­­SALARY: £50,000- £58,000

ROLE PURPOSE:

Responsible for design, development, and maintenance of cloud-based data warehousing and integration solutions to support the strategic data needs of the Global Banking School (GBS). Oversees the creation of scalable data structures and secure data transfer routines across internal systems and third-party SaaS platforms. Utilises Microsoft Azure technologies including Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Key Vault, Azure Data Lake Storage, and Azure Databricks.

Implementation and optimising of tabular models and Power BI datasets to support enterprise reporting and analytics. Ensuring data quality, compliance with GDPR, and alignment with GBS’s overall data architecture and governance standards and improve strategic decision‑making across the student lifecycle and wider institutional operations.

Key Responsibilities:

• As a Senior DW Developer, you will contribute to the design, development and maintenance of software applications.
• The candidate will also be maintaining a close working relationship with the other application stakeholders.
• Experience of developing secure and high-performance web application(s).
• Designing and architecting future releases of the platform.
• Support in troubleshooting application issues.
• Cross team collaboration in the handling of platform creation.
• Tracking advancements in software development technologies and applying them in the solution roadmap.
• Ensuring all quality controls and processes are adhered to.
• Planning the major and minor releases solutions.
• Ensuring robust configuration management.
• Work closely with the Engineering Manager on the different aspects of product lifecycle management.

Required Skills and Qualifications:

• End to end Lifecyle of Data warehousing, Data-Lake and reporting.
• Experience with Maintaining/Managing Data warehouses.
• Knowledge of data governance, data security, data quality, data lineage.
• Responsible for the design and development of a large, scaled-out, real-time, high performing Data Lake / Data Warehouse systems (including Big data and Cloud).
• Strong SQL and analytical skills.
• Knowledge of software development life-cycle methodologies e.g. Iterative, Waterfall, Agile, etc.
• Experience in Power BI, Tableau, Qlikview, Qliksense etc.
• Experience in Microsoft Azure Services.
• Experience in developing and supporting ADF pipelines.
• Experience in Azure SQL Server/ Databricks / Azure Analysis Services
• Experience in developing tabular model.
• Experience in working with APIs.
• Experience with Python or R for advanced analytics
• Experience with data warehousing, data modelling.
• Experience with ETL and working with large-scale datasets.
• Proficiency in writing and debugging complex SQLs.
• Hands on with Kafka, Flink, Spark, SnowFlake, Airflow, Oozie, Pig, Hive.
• Experience with distributed data management, data, including databases (Relational, NoSQL, Big data, data analysis, data processing, data transformation, high availability, and scalability)
• Experience in end-to-end project implementation in Cloud (Azure / AWS / GCP) as a DW BI Developer
• Rich experience in data governance, data security, data quality, data provenance/lineage, Hive, Impala, and a strong understanding of industry trends and products in DataOps, continuous intelligence, augmented analytics, and AI/ML.
• Prior experience of working in cloud like Azure, AWS and GCP

Nice to have Skills and Qualifications:

• Experience of working in Agile SAFe and PI Planning
• Experience of working in Ed-Tech/E-Learning companies
• Experience of working with Microsoft Fabric
• Relevant DW/BI Certification
• Knowledge of processing large data sets, performance tuning, cluster administration
• Experience in Higher Education (HESA, OfS reporting).

Educational Qualification(s):

• Bachelor's/master’s degree in computer science, Engineering or equivalent

WHAT WE OFFER:

• Salary dependent on experience
• 25 days annual leave, plus 8 public holiday
• 1-day extra leave per year of service, up to a maximum of 5 days
• Workplace pension scheme
• Tuition reimbursement for career development courses
• Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more
• Perks@Work discounts platform, wellbeing centre and much more
• Reward and recognition programme
• £500 award employee referral scheme
• Discretionary annual performance bonus

"I joined GBS in 2025 at a pivotal time in its journey towards excellence. Working to create the best learning environment for our students is a very exciting and rewarding exercise. Everyone in the organisation works together to make a huge difference to those who have not had access to higher education before.". -(Professor Peter Flew, Vice Provost).