Data Architect

INNOVATION IS IMAGINING WHAT NOONE ELSE CAN.

SHARE YOUR PASSION.

At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.

BMW Group Financial Services UK is looking for a Data Architect. This role is based at the Summit ONE Campus in Farnborough.

Our Data & Analytics team are leading the way on all aspects of the data journey, from Data Warehousing to Visualisation & Data Science.   We also provide data insights to external partners such as large corporate customers and retailer groups. We are looking to evolve our Data Strategy to move us further along the Self-Service operating model and creating a more democratised way of working with our data. We need an experienced Data Architect, who is not afraid to try new things, whilst maintaining the over-riding purpose of why we exist – which is to realise value (quickly) from our data and support the company in achieving it’s 2030 Strategy

The role will lead our Data Engineering capability in accelerating the pace of data availability and making architectural recommendations to support that increased pace.   This is an opportunity to make a name for yourself and the Data function at BMW Financial Services

What awaits you?

• Design, build, optimise, and maintain a Data Architecture which helps deliver the organisations data strategy including self-service data models while supporting our Data Science and AI led ambitions. 
• Design and develop data structures, models and frameworks, ensuring re-use, consistency and speed of data availability.
• Design, maintain and document key database schemas and inter-dependencies within the Enterprise Data Model.
• Support and help implement Data Governance best practices, under the guise of “Just Enough” Data Governance
• Develop and maintain specialist knowledge of the transactional and Enterprise Data Model databases and data lake/warehouse concepts, design principles, architecture, and software.
• Analyse strategic data architecture requirements from the existing transactional system landscape and those arising from new software and applications.
• Lead the process of preparation of source data in a suitable structure (semantic layer) for consumption by visualisation tools and analytic processes.

What should you bring along?

• Significant experience developing in AWS architecture is essential.
• Significant experience in building, evolving Data Warehouse/Lake environments in AWS
• Real world experience of working as a Data Architect across Industry (not just Financial).
• Strong experience of data modelling (from conception to optimisation), and of the design and management of Enterprise Data Models on the AWS Platform,
• Experience of managing and facilitating significant technological change.
• Experience with the full cycle of software development and with working with third-party and offshore delivery teams.
• Have the ability to convey why complex data work needs to be done to someone in the business and help them understand the “why”.
• Experience of working with compliance and regulation in a Financial Services environment would be an advantage.
• Excellent SQL, Python and other data wrangling techniques.
• Past experience in core Data Architecture skills such as Data Analysis, Data Mining, Data Profiling, Data Modelling (ERD, Dimensional), Data Warehouse Design (Kimball, Inmon), Big Data Design (Lambda, Kappa), Predictive Analytics, Data Lifecycle management, Data Integration patterns and methods.
• In depth knowledge of AWS Big Data Storage Strategies and Technologies and knowledge of some of the following AWS services: Athena, Glue, Lambda, Step Functions, S3, Neptune, SDLF, etc
• Detailed understanding of relational databases and database structure principles.
• Ability to design and implement ETL and ELT processes.
• The ability to work in a fast-paced environment with minimal supervision, handle quickly changing priorities, and be capable of managing yourself to achieve maximum results.
• Strong technical skills, with the ability to problem solve and design innovative technical solutions that meet challenging and sometimes conflicting requirements.
• Knowledge of data management and governance principles including Master Data Management.
• Ability to inspire, support, encourage and enable curiosity in data.

Closing Date: 17th February 2025

At BMW Group, we are committed to offering our employees the right balance between work and personal life. We pride ourselves on being a flexible employer and for most roles, it could be possible to agree flexible hours, job share, compressed hours or part-time working hours and so please discuss your individual requirements as part of the application process so we can try to agree a suitable arrangement.  [For this role, we also support a hybrid model which combines remote and office working.] #LI-Hybrid.

We also have several employee resource groups. If you’d like to speak confidentially to any of these groups before applying for a role, please email us directly at Recruitment.Farnborough@bmwgroup.com and we can arrange an informal discussion.

In 2025 BMW Group Financial Services UK was recognised as a Top Employer. We invest in our employees and embrace a culture of flexible working as well as promoting a positive, supportive culture and working environment. We are based in prestigious offices in Farnborough that provide a great place to work with good people and an exciting, engaging, industry leading brand.

Successful candidates will be required to complete background screening checks and the offer of employment will be subject to results which we consider are satisfactory. Checks will include references, right to work, IT system Compliance Integrity Check (COIN), CV and relevant qualifications. Checks may also include criminal records, adverse financial (credit), directorships, address, internet research and/or driving licence. If you have any queries on any of these checks, please discuss with us and we will be happy to go through with you in more detail.

We are proud to be a part of the Disability Confident scheme. The scheme supports employers to make the most of the talents disabled people can bring to the workplace.