Data Architect

Data Architect

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
E

At a Glance

  • Tasks: Design and govern data architecture for scalable, reliable data products.
  • Company: Join a dynamic team-oriented environment with a focus on personal growth.
  • Benefits: Enjoy 26 days holiday, competitive salary, hybrid working, and health benefits.
  • Other info: Be part of an inclusive team where your ideas are valued and supported.
  • Why this job: Make a real impact by ensuring data quality and consistency across the organisation.
  • Qualifications: 5-10+ years in data architecture or senior data engineering roles required.

The predicted salary is between 60000 - 80000 £ per year.

The Data Architect is responsible for designing and governing the data architecture, models, and standards that underpin scalable, reliable, and reusable data products. This role ensures that data across the organisation is consistently structured, clearly defined, and fit for purpose, enabling both operational reporting and future advanced analytics.

Key Responsibilities

  • Data Modelling & Structure
    • Define and maintain canonical data models across domains
    • Design scalable data structures to support analytics and reporting
    • Ensure consistent definitions of key business entities and metrics
    • Align data models across multiple source systems
  • Data Architecture & Integration
    • Design end-to-end data architecture (ingestion → transformation → consumption layers)
    • Define integration patterns for internal systems and external APIs
    • Support both batch and real-time data flows where required
    • Ensure alignment between operational systems and analytical data structures
  • Data Standards & Governance
    • Define and enforce data standards, naming conventions, and modelling practices
    • Work with the Data & Insights Manager to establish data ownership and governance
    • Ensure consistency and reusability of datasets across teams
  • Technical Leadership
    • Provide architectural guidance to Data Engineers
    • Review and approve data design decisions
    • Ensure scalability, performance, and maintainability of data solutions
  • Data Quality & Consistency
    • Define frameworks for data quality, validation, and reconciliation
    • Ensure alignment of data definitions across business domains
    • Support resolution of data discrepancies

Required Skills & Experience

  • 5–10+ years experience in data architecture, data modelling, or senior data engineering roles
  • Strong expertise in data modelling (e.g. dimensional modelling, normalisation, semantic layers)
  • Proven experience designing scalable data architectures (warehouse, lake, or lakehouse)
  • Strong understanding of data pipelines (ETL/ELT) and transformation patterns
  • Experience working with API-driven and/or event-based systems
  • Ability to define and enforce data standards and governance practices
  • Experience working closely with engineering and analytics teams
  • Strong problem-solving skills with attention to data consistency and correctness

Nice to Have

  • Experience in iGaming, fintech, or high-volume transactional systems
  • Experience modelling event-based data (e.g. transactions, sessions, gameplay flows)
  • Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Kafka)
  • Experience with real-time or streaming data architectures
  • Exposure to regulatory or compliance-driven data environments
  • Experience supporting AI/ML data readiness

Success Metrics

  • Consistent and reusable data models across domains
  • Reduction in data duplication and conflicting definitions
  • Improved data quality and trust across the organisation
  • Scalable architecture supporting current and future use cases

What's in it for you?

  • Experience a dynamic and team-oriented work environment.
  • Opportunities for personal growth and learning
  • An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
  • 26 days paid holiday per year. This is in addition to local public holidays.
  • Competitive salary
  • Hybrid Working
  • Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance
  • Team Building Opportunities
  • Flexible core hours between 10am – 4pm
  • Receive support whenever you need it with our Employee Assistance Program, available 24/7.
  • Local discounts and more.

Data Architect employer: Eeze Entertainment Malta Limited

As a Data Architect at our company, you will thrive in a dynamic and team-oriented environment that prioritises personal growth and learning. We offer a competitive salary, 26 days of paid holiday, and flexible working hours, all within an inclusive culture where your contributions are valued. Join us to shape the future of data architecture while enjoying comprehensive risk benefits and local discounts.

E

Contact Details:

Eeze Entertainment Malta Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Eeze Entertainment Malta Limited!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Eeze Entertainment Malta Limited.

Leverage Professional Networks

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 Eeze Entertainment Malta Limited.

Apply Directly through Our Website

When you find a suitable opening like Data Architect at Eeze Entertainment Malta Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Architect

Data Modelling
Canonical Data Models
Scalable Data Structures
Data Architecture
Integration Patterns
Batch and Real-Time Data Flows
Data Standards

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Eeze Entertainment Malta Limited, 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 Eeze Entertainment Malta Limited. 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 Eeze Entertainment Malta Limited

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!

Showcase Your Projects

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 Eeze Entertainment Malta Limited!

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.