At a Glance
- Tasks: Design and develop cloud-based data warehousing solutions to support strategic data needs.
- Company: Join a leading institution focused on transforming higher education through innovative data solutions.
- Benefits: Competitive salary, generous leave, flexible benefits, and career development opportunities.
- Other info: Dynamic workplace with a focus on professional growth and recognition.
- Why this job: Make a real impact in education while working with cutting-edge technologies in a collaborative environment.
- Qualifications: Experience in data warehousing, SQL, and cloud technologies like Azure is essential.
The predicted salary is between 50000 - 58000 £ per year.
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:
- Contribute to the design, development and maintenance of software applications.
- Maintain a close working relationship with other application stakeholders.
- Experience of developing secure and high-performance web application(s).
- Design and architect future releases of the platform.
- Support in troubleshooting application issues.
- Cross team collaboration in the handling of platform creation.
- Track advancements in software development technologies and apply them in the solution roadmap.
- Ensure all quality controls and processes are adhered to.
- Plan the major and minor releases solutions.
- Ensure robust configuration management.
- Work closely with the Engineering Manager on different aspects of product lifecycle management.
Required Skills and Qualifications:
- End to end Lifecycle 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, 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).
Senior Data Warehouse Developer employer: Gedu Global
At the Global Banking School, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Located in Manchester, we offer competitive salaries, generous annual leave, and a range of flexible benefits designed to support your personal and professional growth. Our commitment to employee development is evident through our tuition reimbursement programme and a rewarding recognition scheme, making GBS a truly fulfilling place to advance your career in data warehousing and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Warehouse Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure technologies and data warehousing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data warehousing and cloud solutions. Be ready to discuss your experience with SQL, Azure services, and any relevant projects you've worked on. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining us at StudySmarter. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace Senior Data Warehouse Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Warehouse Developer role. Highlight your experience with Azure technologies and data warehousing, as these are key for us. Use specific examples that showcase your skills in SQL and data governance.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share why you're passionate about data warehousing and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills:We love seeing technical skills in action! If you have experience with tools like Power BI, Azure Data Factory, or Python, make sure to include them prominently. Consider adding a section in your CV dedicated to your technical proficiencies.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to our hiring team. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Gedu Global
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft Azure technologies mentioned in the job description. Brush up on Azure Data Factory, Azure SQL Database, and Azure Databricks. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar but also capable of leveraging them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data warehousing and integration solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you tackled issues and what the outcomes were.
✨Understand Data Governance
Since data quality and compliance with GDPR are crucial for this role, be ready to talk about your experience with data governance and security. Share examples of how you’ve ensured data integrity and compliance in past projects, as this will demonstrate your alignment with the company’s standards.
✨Prepare for Collaboration Questions
This role involves cross-team collaboration, so expect questions about teamwork and communication. Think of examples where you successfully worked with other stakeholders or teams to achieve a common goal. Highlight your ability to maintain strong working relationships, as this is key for success in this position.
