At a Glance
- Tasks: Join our team to develop and implement cloud-native data solutions using Azure technologies.
- Company: Skipton is the UK's fourth largest building society, owned by its members, not shareholders.
- Benefits: Enjoy flexible working, 25+ days holiday, training opportunities, and private medical insurance.
- Other info: Join a diverse team committed to pushing boundaries and transforming ideas into reality.
- Why this job: Be part of a collaborative culture that values creativity and innovation in data engineering.
- Qualifications: Experience with Azure Data solutions, ETL/ELT processes, and Agile methodologies required.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a talented Data Engineer to help shape the future of our data platform. If you’re passionate about cloud technologies, agile delivery and creating real value through data, this could be the perfect role for you!
Who Are We?
Not just another building society. Not just another job. We are the fourth biggest building society in the UK and what makes us a bit different is that we are a mutual organisation. We don’t have shareholders; we are owned by our members. Our colleagues say Skipton's a great place to work, and you could be one of them, bringing with you new ideas on how we can keep customers at the heart of what we do. Whatever your background, and whatever your goals, we will help you take the next step towards a better future.
You’ll be joining our rapidly expanding Engineering team, where you will collaborate with talented Data and Software Engineers and engage closely with stakeholders throughout our Technology function and wider business. Your role is pivotal in driving our innovative solutions forward, aligning with our ambitious change agenda. Together, you will help shape the organization’s future by pushing boundaries, and transforming ideas into reality. Join us in this journey of growth, creativity, and collaboration as we set new benchmarks in data engineering excellence. Your contribution is key to our shared success.
What Will You Be Doing?
We are deeply committed to advancing our Data Strategy, embarking on a transformative journey from traditional on-premises infrastructure to a cloud-based architecture. Our cloud-native Data Platform utilises Microsoft Azure technology including Azure Databricks, Azure Data Factory and dbt. We seek an individual with a proven track record in Azure cloud Data Engineering to join our team, contributing their expertise to shape and execute the design and implementation of our cloud-native platform. Collaborating closely with other Data Engineers and Analysts, as well as colleagues from across the organisation to deliver trusted solutions that meet the Society’s information needs. You will play a key role in the Society change hubs and play a pro-active role in identifying process improvements and generating new ideas that will maximise the value of data for the Society. We embrace a culture of experimentation and constantly strive for improvement and learning. Using Agile techniques, you will regularly deliver incremental enhancements to our products. You will actively participate in design and code reviews, providing direction and mentoring to others. You will do this working in a collaborative, trusting environment, one that encourages diversity of thought and creative solutions that are in the best interests of our customers and colleagues.
What Do We Need From You?
- Experience in the development of Azure Data solutions
- Knowledge of data modelling principles, including common patterns, e.g. star schema, snowflake or data vault
- Experience in implementation end-to-end ETL/ELT solutions
- Experience in maintaining and optimising an Enterprise Data Warehouse
- Knowledge of data analysis
- Knowledge of testing and software release management
- Experience in business process and requirements analysis
- Experience of full life-cycle software development
- Understanding of Agile methodologies
- Experience working with CI/CD tools
Key Technology:
- Experience with source control systems, such as Git
- dbt (Data Build Tool) for transforming and modelling data
- SQL (Spark SQL) & Python (PySpark)
Certifications:
You will need to be curious about technology and adaptable to new technologies. Agile-minded, optimistic, passionate, and pragmatic about delivering valuable data solutions to customers. Willing to mentor & support colleagues, leveraging their experience & knowledge.
What’s in it for you?
Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space. We have a range of other benefits available to you including:
- Annual discretionary bonus scheme
- 25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 days
- Holiday trading scheme allowing the ability to buy and sell additional annual leave days
- Matching employer pension contribution (up to 10% per annum)
- Colleague mortgage (conditions apply)
- Salary sacrifice scheme for hybrid & electric car
- A commitment to training and development
- Private medical insurance for all our colleagues
- Diverse and inclusive colleague networks available for you to join
- We care about your health and wellbeing – we provide a range of benefits that support this including cycle to work initiative and discounted gym membership
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.
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Data Engineer in Skipton employer: Skipton Building Society
Skipton Building Society is an exceptional employer that prioritises the well-being and growth of its employees. With a strong commitment to work/life balance, flexible working arrangements, and a vibrant office environment, we foster a culture of collaboration and innovation. Our focus on employee development, coupled with a range of benefits including generous annual leave, a matching pension scheme, and private medical insurance, makes Skipton a rewarding place to build your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Skipton
✨Tip Number 1
Familiarise yourself with Microsoft Azure technologies, especially Azure Databricks and Azure Data Factory. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your readiness for the role.
✨Tip Number 2
Showcase your understanding of Agile methodologies. Be prepared to share examples of how you've applied Agile techniques in previous projects, as this aligns with our collaborative work culture.
✨Tip Number 3
Network with current or former employees of Skipton Building Society on platforms like LinkedIn. Engaging with them can provide insights into the company culture and may even lead to a referral.
✨Tip Number 4
Prepare to discuss your experience with CI/CD tools and source control systems like Git. Highlighting your familiarity with these technologies will show that you are equipped to contribute effectively from day one.
We think you need these skills to ace Data Engineer in Skipton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Data solutions, ETL/ELT processes, and Agile methodologies. Use specific examples that demonstrate your skills in data modelling and software development.
Craft a Compelling Cover Letter:In your cover letter, express your passion for cloud technologies and how you can contribute to the company's data strategy. Mention your collaborative approach and willingness to mentor others, as these qualities align with their team culture.
Showcase Relevant Projects:If you have worked on projects involving Azure Databricks, Azure Data Factory, or similar technologies, be sure to include these in your application. Describe your role and the impact of your contributions on the project's success.
Highlight Continuous Learning:Mention any relevant certifications or courses you've completed related to data engineering, cloud technologies, or Agile practices. This shows your commitment to professional growth and adaptability in a rapidly evolving field.
How to prepare for a job interview at Skipton Building Society
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure Data solutions during the interview. Be prepared to discuss specific projects where you've implemented end-to-end ETL/ELT solutions and how you optimised an Enterprise Data Warehouse.
✨Demonstrate Agile Mindset
Since the company values Agile methodologies, share examples of how you've applied Agile techniques in your previous roles. Discuss any experiences with iterative development and how you’ve contributed to continuous improvement.
✨Prepare for Technical Questions
Expect technical questions related to data modelling principles and tools like dbt, SQL, and Python. Brush up on common patterns such as star schema and snowflake, and be ready to explain your thought process in solving data-related challenges.
✨Emphasise Collaboration Skills
The role involves working closely with other Data Engineers and stakeholders. Share examples of how you've successfully collaborated in a team environment, mentored colleagues, or contributed to design and code reviews to demonstrate your teamwork abilities.
