At a Glance
- Tasks: Lead the design of data architecture and ensure cohesive data solutions across the organisation.
- Company: Dynamic company focused on innovative business data strategies.
- Benefits: Competitive pay, collaborative environment, and opportunities for professional growth.
- Other info: Based in Oxford, UK; remote work not available.
- Why this job: Shape the future of data strategy and make impactful decisions in a fast-paced setting.
- Qualifications: 9+ years in data architecture with strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
Must have 9+ years' experience.
Duration: 3 months and extendable (Work from Office).
Location: UK Based only. Candidates already residing in Oxford (Highly preferred). Candidate should be authorized to work in UK (Must Have).
About the Role: As Data Lead/Tech Lead, you will play a critical role in shaping and enabling our client's Business Data Strategy by defining how our core data assets are structured, connected and governed across the organisation. You will ensure we move from fragmented, initiative‑led data solutions toward a cohesive, scalable and integrated data architecture, enabling a true single source of truth across key domains such as customer, product, revenue and growth metrics. You will work closely with business and technology teams to translate business needs into clear, scalable data design, ensuring that strategic initiatives such as Growth Intelligence are built on strong, reusable and aligned data foundations. Your success will be measured by the extent to which our client achieves consistent, trusted and reusable data, reduces duplication and fragmentation, and enables faster, more confident decision‑making across the business.
Responsibilities:
- Defining and owning the target enterprise data architecture, ensuring that key data domains and 'golden data assets' are clearly structured, connected and aligned across the organisation.
- Ensuring that data initiatives contribute to a single, integrated source of truth, avoiding duplication, conflicting definitions and siloed solutions.
- Partnering with business stakeholders to understand decision‑making needs and translate these into scalable, outcome‑driven data design.
- Working closely with technology teams to guide implementation, ensuring alignment with enterprise platforms (e.g. Snowflake) and integration patterns.
- Establishing and promoting standards for data modelling, integration and reuse, enabling consistency across federated teams while supporting flexibility where needed.
- Contributing to the Business Data Strategy and roadmap, ensuring architectural considerations are embedded and support long‑term scalability and value.
Requirements:
- Experience designing and implementing data architectures in complex, enterprise environments, ideally with a mix of central and federated models.
- Strong understanding of data modelling, data integration, data lifecycle and data platforms (e.g. Snowflake), with the ability to engage effectively with technical teams.
- Ability to translate business needs into clear data design, with a focus on enabling decision‑making and delivering measurable business outcomes.
- Experience working with data governance, master data management and data quality concepts, and understanding how these are enabled through architecture.
- Strong stakeholder engagement and influencing skills, with the ability to work across business and technology teams and drive alignment in a matrix environment.
- Ability to balance strategic thinking with pragmatic delivery, ensuring solutions are both scalable and achievable.
- Experience of supporting or delivering data‑led transformation initiatives is advantageous.
Data Engineer in Oxford employer: DataLeo AI
As a leading employer in the data engineering field, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in Oxford, we offer competitive benefits, opportunities for professional growth, and a commitment to building a cohesive data architecture that drives impactful business decisions. Join us to be part of a dynamic team where your expertise will shape the future of our client's Business Data Strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Oxford
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of hearing about job openings that might not even be advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data projects or contributions to open-source initiatives. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by researching common questions and practicing your responses. But don’t forget to prepare questions for them too! This shows you're genuinely interested in the role and helps you assess if it's the right fit for you.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your relevant experience, especially in data architecture and integration. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the role. Share specific examples of how you've tackled similar challenges in the past, and don’t forget to show your enthusiasm for joining us at StudySmarter.
Showcase Your Technical Skills:Since this role involves working with data platforms like Snowflake, make sure to highlight your technical skills. We love seeing candidates who can demonstrate their expertise in data modelling and integration, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at DataLeo AI
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in data architecture principles, especially in complex environments. Brush up on your knowledge of data modelling, integration, and platforms like Snowflake. Being able to discuss how you’ve designed and implemented these in past roles will show you’re the right fit for the job.
✨Understand Business Needs
Before the interview, think about how you can translate business needs into data design. Prepare examples of how you've partnered with stakeholders to understand their decision-making requirements and how you’ve delivered scalable data solutions that drive measurable outcomes.
✨Showcase Your Governance Knowledge
Familiarise yourself with data governance, master data management, and data quality concepts. Be ready to discuss how these elements are crucial in creating a single source of truth and how your architectural decisions have supported these initiatives in previous roles.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data integration patterns and enterprise platforms. Practice articulating your thought process when guiding implementation and ensuring alignment with technology teams. This will demonstrate your ability to balance strategic thinking with practical delivery.
