At a Glance
- Tasks: Shape the future of our data platform and drive innovative solutions.
- Company: Join Skipton Building Society, the UK's fourth largest mutual organisation.
- Benefits: Enjoy hybrid working, generous leave, bonuses, and a vibrant office environment.
- Other info: Opportunities for mentoring and professional development are available.
- Why this job: Be part of a collaborative team that values creativity and diversity in tech.
- Qualifications: Experience in Azure Data solutions and Agile methodologies is essential.
The predicted salary is between 43200 - 72000 £ per year.
We're looking for a talented Senior 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're the fourth biggest building society in the UK and what makes us a bit different is that we're a mutual organisation. We don't have shareholders; we're 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.
You'll be joining our rapidly expanding Engineering team, where you'll 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'll help shape the organization's future by pushing boundaries and transforming ideas into reality.
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'll 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
- Azure Databricks, Data Factory, Storage, Key Vault
- Experience with source control systems, such as Git
- dbt (Data Build Tool) for transforming and modelling data
- SQL (Spark SQL) & Python (PySpark)
Certifications
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Microsoft Certified: Azure Data Fundamentals (DP-900)
You will need to be you. 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
- 3 paid volunteering days per annum
- 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
Senior 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, hybrid working options, and a vibrant office environment, we foster a culture of collaboration and innovation. Our focus on professional development, alongside generous benefits such as a discretionary bonus scheme and private medical insurance, makes us a rewarding place for talented individuals to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Skipton
✨Tip Number 1
Familiarise yourself with the specific Azure technologies mentioned in the job description, such as Azure Databricks and Azure Data Factory. Having hands-on experience or projects showcasing these tools can significantly boost your chances during interviews.
✨Tip Number 2
Engage with the data engineering community online, particularly around Azure and Agile methodologies. Participating in forums or attending webinars can help you stay updated on industry trends and may provide networking opportunities that could lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with end-to-end ETL/ELT solutions in detail. Be ready to share specific examples of how you've optimised data processes or contributed to data strategy in previous roles, as this aligns closely with what Skipton Building Society is looking for.
✨Tip Number 4
Showcase your collaborative skills by highlighting any past experiences where you've worked closely with cross-functional teams. Since the role involves engaging with various stakeholders, demonstrating your ability to communicate effectively and mentor others will be a plus.
We think you need these skills to ace Senior 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 cloud technologies.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data engineering and how your background aligns with Skipton Building Society's mission. Mention your enthusiasm for working in a collaborative environment and your commitment to continuous improvement.
Showcase Relevant Projects:If you have worked on projects involving Azure Databricks, Data Factory, or similar technologies, be sure to include these in your application. Describe your role and the impact of your contributions to highlight your expertise.
Highlight Soft Skills:Skipton values collaboration and creativity. Emphasise your ability to mentor others, work in diverse teams, and adapt to new technologies. These soft skills are just as important as technical abilities in this role.
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 Azure Databricks, Data Factory, or other relevant technologies, as this will demonstrate your capability to contribute effectively to their cloud-native platform.
✨Understand Data Modelling Principles
Familiarise yourself with data modelling concepts such as star schema, snowflake, and data vault. Be ready to explain how you've applied these principles in past roles, as this knowledge is crucial for the Senior Data Engineer position.
✨Emphasise Agile Methodologies
Since the role involves working in an Agile environment, be prepared to discuss your experience with Agile techniques. Share examples of how you've delivered incremental enhancements and participated in design and code reviews, showcasing your collaborative spirit.
✨Demonstrate a Culture of Experimentation
Skipton Building Society values innovation and improvement. During your interview, express your curiosity about technology and your willingness to experiment with new ideas. Share instances where you've identified process improvements or generated creative solutions in your previous roles.
