At a Glance
- Tasks: Design and implement data solutions to optimise business value and support growth.
- Company: Bibby Financial Services supports over 12,000 SMEs globally since 1982.
- Benefits: Enjoy a competitive salary, flexible benefits, private healthcare, and 25 days holiday.
- Why this job: Join a collaborative team that values relationships and empowers you to make impactful choices.
- Qualifications: Experience with Microsoft BI Stack, Azure technologies, SQL, SPARK, and Python required.
- Other info: Flexible location with travel to Banbury; inclusive workplace committed to your potential.
The predicted salary is between 68000 - 85000 £ per year.
Bibby Financial Services have an exciting opportunity available for a Data Architect to join our team, working in any of our UK locations with travel to Banbury required when necessary. You will join us on a full time, permanent basis and in return, you will receive a competitive salary of £80,000 – £100,000 per annum.
We’ve supported small and medium-sized enterprises (SMEs) since 1982 and today we support more than 12,000 businesses worldwide. We are proud to help businesses, both big and small to grow and thrive in domestic and international markets.
As our Data Architect, we will reward you and your hard work with:
- Company car allowance
- Private healthcare for you and your family
- Company pension scheme
- Wide range of flexible benefits, such as gym membership, technology, or health assessments
- Access to an online wellbeing centre
- Range of discounts from many businesses
- 25 days holiday
As BFS’s Data Architect, you will take time to understand how our business works and its aims to ensure you can translate that into the correct architecture to underpin that dataverse can produce the insight necessary to contribute to sustained growth of BFS business units domestically and internationally. You will work closely with the Senior Data Developer, Data Product Manager and other BFS Architects to ensure we deliver a cohesive technical architecture, whilst maintaining a day-to-day understanding of how our data practice is functioning.
Your key duties as our Data Architect will include:
- Develop a deep understanding of the BFS Business model and products in order to provide insightful leadership on the data models necessary to optimise value and opportunity.
- Design and implement effective data solutions and models to meet business requirements and realise the BFS Data Strategy.
- Ensure the scalability, performance, and reliability of data systems and infrastructure.
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure compliance with internal and external governance regulations.
- Prepare accurate database design and architecture reports for management and executive teams.
- Support the planning, impact analysis, and scheduling of migrations from legacy data systems to new solutions.
- Monitor system performance by performing regular tests, troubleshooting, and integrating new features.
- Collaborate with the Digital teams and application teams to find optimal solutions for delivering data use cases through current and augmented technologies.
- Stay informed about emerging data technologies and best practices.
- Work with Procurement and the business to identify and select the most appropriate technology to meet data demands.
- Recommend solutions to improve new and existing database systems.
- Educate, inspire and influence business stakeholders through presentations training and individual support.
- Offer timely support in response to system problems.
- Actively participate as a member of the Architectural Design Board.
What we are looking for in our ideal Data Architect:
- Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
- Microsoft BI Stack expert proven to deliver fast-paced releases. You will have worked with the latest Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks.
- Hands on experience of working in Databricks. In particular design and usage of the Delta Lake storage format.
- Hands-on experience of working in a Scrum environment. You will be familiar with source control repositories such as git to help manage the codebase.
- In-depth understanding of database structure principles as well as experience with the build and maintenance of a Lakehouse.
- Expertise in SQL, SPARK and Python.
- Excellent communication and collaboration skills.
If you would like to join us, please click ‘apply’ today to be considered as our Data Architect – we would love to hear from you!
We’re absolutely committed to being a truly inclusive place to work, where everyone has an equal opportunity to reach their true potential. Let us know if you need adjustments to support you through any stage of the recruitment process.
No agencies, please.
Data Architect employer: Bibby Financial Services United Kingdom
Contact Detail:
Bibby Financial Services United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the BFS business model and products. Understanding their operations will help you articulate how your data architecture can directly support their goals during interviews.
✨Tip Number 2
Showcase your hands-on experience with Azure technologies, especially Azure Data Factory and Databricks. Be prepared to discuss specific projects where you've successfully implemented these tools.
✨Tip Number 3
Highlight your collaboration skills by preparing examples of how you've worked in cross-functional teams. BFS values teamwork, so demonstrating your ability to work well with others will be crucial.
✨Tip Number 4
Stay updated on emerging data technologies and best practices. Being able to discuss recent trends or innovations in data architecture can set you apart as a forward-thinking candidate.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Architect or in similar roles. Emphasise your expertise with the Microsoft BI Stack, Azure technologies, and any hands-on experience with Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your understanding of Bibby Financial Services' business model and how your skills can contribute to their data strategy. Mention specific projects or achievements that demonstrate your ability to design effective data solutions.
Showcase Technical Skills: Clearly outline your technical skills in SQL, SPARK, Python, and your experience with database structures and Lakehouse architecture. Use examples to illustrate how you've applied these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with various teams, mention any past experiences where you collaborated effectively with others. This could include working in a Scrum environment or participating in architectural design discussions.
How to prepare for a job interview at Bibby Financial Services United Kingdom
✨Understand the Business Model
Before your interview, take the time to research Bibby Financial Services and their business model. Understanding how they operate and their goals will help you articulate how your skills as a Data Architect can contribute to their success.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with the Microsoft BI Stack and Azure technologies in detail. Highlight specific projects where you've successfully implemented data solutions, particularly using Azure Data Factory, Azure Data Lake Storage, and Databricks.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, be ready to provide examples of how you've effectively collaborated in past roles. Discuss your experience in Scrum environments and how you’ve contributed to team success.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially regarding database performance and scalability. Think of scenarios where you've identified issues and implemented solutions, and be ready to explain your thought process.