Hybrid Enterprise Data Architect

Hybrid Enterprise Data Architect

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Shape data interactions and design future-state architectures in a hybrid role.
  • Company: Xpertise Recruitment, a leader in tech recruitment based in Solihull.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and thrive in a complex technology landscape.
  • Why this job: Make a real impact by bridging business needs with innovative tech solutions.
  • Qualifications: Experience in systems architecture and strong problem-solving skills.

The predicted salary is between 72000 - 88000 £ per year.

Xpertise Recruitment in Solihull is seeking an experienced Systems Data Architect to shape how data and systems interact across a complex technology landscape.

This hybrid role focuses on investigation, design, integration, and delivery.

You will bridge business requirements and technical implementation, reverse-engineering legacy systems to deliver practical, future-state architectures that deliver real business value.

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Hybrid Enterprise Data Architect employer: Xpertise Recruitment

Join a forward-thinking organisation that prioritises innovation and collaboration in the field of data engineering. As a Senior Data Engineer, you'll be part of a dynamic team dedicated to building scalable data solutions that drive real business impact, all while enjoying a supportive work culture that fosters professional growth and development. With significant investment in data capabilities and a commitment to best practices, this role offers a unique opportunity to influence cutting-edge architecture and contribute to transformative projects in a thriving environment.

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Contact Details:

Xpertise Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Enterprise 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 Xpertise Recruitment!

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 Hybrid Enterprise Data Architect at Xpertise Recruitment.

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 Xpertise Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Hybrid Enterprise Data Architect at Xpertise Recruitment, 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 Hybrid Enterprise Data Architect

Data Architecture
Systems Integration
Legacy System Reverse Engineering
Technical Implementation
Business Requirements Analysis
Design Skills
Investigation Skills

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 Xpertise 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 Xpertise 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 Xpertise 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!

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 Xpertise 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.