At a Glance
- Tasks: Define and deliver data architecture strategy for a major transport business.
- Company: Join a leading European transport company with 35,000 employees.
- Benefits: Competitive salary, 20% bonus, car allowance, and flexible working hours.
- Other info: Opportunity for career growth and exposure to cutting-edge technologies.
- Why this job: Shape the future of data solutions in a dynamic, multi-country organisation.
- Qualifications: Experience in data architecture and strong SQL skills required.
The predicted salary is between 72000 - 88000 £ per year.
Greater Londoncar, bonus Permanent Data Architect Competitive Salary + 20% Bonus + Car Allowance Central London – Hybrid, 3 days per week in the office35-hour Working Week – Flexible Hours We are representing a large European transport business, employing around 35,000 people across the UK and Europe, who are in the midst of an ambitious enterprise-wide modernisation programme.
This is a brand-new role within the business, reporting into the Group Data Director.
As Data Architect, you will be responsible for defining and delivering the group data architecture strategy that underpins BI and self-service analytics capabilities across all operating units.
You will establish the technical vision, standards, and frameworks that ensure data solutions are scalable, secure, and fit for a large, complex, multi-country organisation.
Working closely with Lead BI Engineers, BI Developers, and senior stakeholders, you will serve as the technical authority on all matters of data architecture, balancing architectural excellence with practical delivery, and playing a critical role in evaluating and adopting new technologies.
We are looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques (e. g. dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming architectures, or data observability tooling Experience leading architecture workshops with both technical and non-technical stakeholders A background providing technical mentorship to BI Engineers or Developers To apply, please submit your CV.
Shortlisted candidates will be contacted within 5 business days.
Data and Ai Architect in London employer: Tria Recruitment
Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions as a Digital Solution Architect will directly shape the future of their digital landscape. With competitive salaries and a flexible hybrid working model in the vibrant locations of Milton Keynes and London, you'll enjoy a supportive environment that fosters growth and embraces cutting-edge technology. This role not only provides the chance to lead significant projects but also to be part of a transformative journey that enhances your professional skills and career trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Ai Architect in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tria Recruitment.
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We think you need these skills to ace Data and Ai Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Tria Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tria Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tria Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tria Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
