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For Companies At a Glance
- Tasks: Shape our data platform and drive innovative solutions in a collaborative team.
- Company: Join the fourth largest building society in the UK, focused on member ownership and community.
- Benefits: Enjoy hybrid work, bonuses, training, private medical insurance, and wellness initiatives.
- Why this job: Be part of a dynamic team that values your ideas and promotes a healthy work/life balance.
- Qualifications: Experience with Azure Data solutions, data modeling, and Agile methodologies required.
- Other info: Mentorship opportunities and a chance to influence the future of data at Skipton.
The predicted salary is between 43200 - 72000 £ per year.
Hours: 35 hrs, Hybrid
Closing Date: Tue, 27 May 2025
About the Role
We are seeking a talented Senior Data Engineer to help shape our data platform's future. If you are passionate about cloud technologies, agile delivery, and creating value through data, this role might be perfect for you.
Who Are We?
Not just another building society. We are the fourth largest in the UK and are a mutual organization owned by our members. Our colleagues say Skipton is a great place to work, and we welcome your ideas to keep customers at the heart of what we do.
Your Team and Responsibilities
You will join our expanding Engineering team, collaborating with Data and Software Engineers and engaging with stakeholders across our Technology function and wider business. Your role is pivotal in driving innovative solutions aligned with our change agenda, helping to shape the organization’s future.
What Will You Be Doing?
- Advancing our Data Strategy by transitioning from traditional on-premises infrastructure to a cloud-based architecture.
- Contributing to our cloud-native Data Platform using Microsoft Azure technologies such as Azure Databricks, Azure Data Factory, and dbt.
- Collaborating with Data Engineers, Analysts, and other colleagues to deliver trusted data solutions that meet organizational needs.
- Participating in process improvements, innovation, and Agile delivery practices.
- Providing mentorship and participating in design and code reviews.
What Do We Need From You?
- Experience in developing Azure Data solutions.
- Knowledge of data modeling principles and ETL/ELT solutions.
- Experience with Enterprise Data Warehouses, data analysis, testing, and release management.
- Understanding of Agile methodologies, CI/CD tools, and full software development lifecycle.
- Proficiency with Azure Databricks, Data Factory, Storage, Key Vault, Git, SQL (Spark SQL), and Python (PySpark).
- Certifications: Azure Fundamentals (AZ-900), Azure Data Fundamentals (DP-900).
- Curiosity about technology, adaptability, agility, and a collaborative mindset.
- Willingness to mentor colleagues and support team growth.
What’s in It for You?
Skipton values work/life balance with hybrid and flexible working options, a vibrant head office, and benefits including bonuses, holidays, pension contributions, mortgage support, salary sacrifice schemes, training, private medical insurance, volunteering days, and inclusive networks. We prioritize your health and wellbeing with initiatives like cycle-to-work and gym discounts.
Senior Data Engineer employer: Skipton Building Society
Contact Detail:
Skipton Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific Azure technologies mentioned in the job description, such as Azure Databricks and Azure Data Factory. Consider building a small project or contributing to an open-source project that uses these tools to demonstrate your hands-on experience.
✨Tip Number 2
Engage with the data engineering community online, particularly those focused on Azure. Join forums, attend webinars, or participate in local meetups to network with professionals in the field and gain insights into current trends and best practices.
✨Tip Number 3
Prepare to discuss your experience with Agile methodologies and CI/CD tools during the interview. Think of specific examples where you've successfully implemented these practices in previous roles, as this will showcase your alignment with the company's values.
✨Tip Number 4
Highlight your mentorship experience when speaking with us. Be ready to share how you've supported colleagues in their growth and development, as this is a key aspect of the role and demonstrates your collaborative mindset.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data solutions, data modelling principles, and Agile methodologies. Use specific examples that demonstrate your skills in cloud technologies and collaboration.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how you can contribute to Skipton's data strategy. Mention your familiarity with Microsoft Azure technologies and your willingness to mentor others.
Showcase Relevant Projects: If you've worked on projects involving Azure Databricks, Data Factory, or similar tools, be sure to include these in your application. Describe your role and the impact of your contributions on the project's success.
Highlight Certifications: List any relevant certifications, such as Azure Fundamentals (AZ-900) or Azure Data Fundamentals (DP-900), prominently in your application. This will demonstrate your commitment to professional development and expertise in the field.
How to prepare for a job interview at Skipton Building Society
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with Azure technologies during the interview. Be prepared to discuss specific projects where you've implemented Azure Databricks, Data Factory, or other relevant tools, as this will demonstrate your capability to contribute to their cloud-native Data Platform.
✨Demonstrate Agile Mindset
Since the role involves Agile delivery practices, be ready to share examples of how you've successfully worked in Agile environments. Discuss your familiarity with CI/CD tools and how you've contributed to process improvements in past roles.
✨Prepare for Technical Questions
Expect technical questions related to data modelling principles, ETL/ELT solutions, and SQL. Brush up on your knowledge of these areas and be ready to solve problems or explain concepts clearly, as this will showcase your technical proficiency.
✨Emphasise Collaboration and Mentorship
This role requires collaboration with various teams and mentoring colleagues. Share experiences where you've successfully worked with others to deliver data solutions or provided guidance to junior team members, highlighting your collaborative mindset and leadership skills.
