Principal Data Engineer & Tech Leader (Remote/Hybrid)

Principal Data Engineer & Tech Leader (Remote/Hybrid)

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the technical direction for data practices and design scalable data platforms.
  • Company: Join CreateFuture, a forward-thinking company shaping data solutions across industries.
  • Benefits: Enjoy flexible hybrid/remote work options and competitive salary.
  • Other info: Work in a dynamic environment with opportunities for professional growth.
  • Why this job: Make a real impact by mentoring engineers and influencing data quality in diverse projects.
  • Qualifications: Proven experience in data engineering and strong leadership skills.

The predicted salary is between 63000 - 77000 £ per year.

Create Future is seeking a Principal Data Engineer to set the technical direction for our data practice.

You will lead architecture across client engagements, mentor engineers, and shape patterns for reliable, scalable data platforms in a multi-industry UK context.

You'll design real-time and batch pipelines on major cloud platforms, champion data quality, and influence pre-sales through delivery.

Flexible hybrid/remote options available with Edinburgh hubs.

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Principal Data Engineer & Tech Leader (Remote/Hybrid) employer: CreateFuture

At CreateFuture, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to work on cutting-edge projects while enjoying a supportive environment. Located in a dynamic tech hub, we provide unique opportunities for networking and career advancement, making us an ideal choice for those seeking meaningful and rewarding employment.

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Contact Details:

CreateFuture Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Engineer & Tech Leader (Remote/Hybrid)

✨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 CreateFuture!

✨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 Principal Data Engineer & Tech Leader (Remote/Hybrid) at CreateFuture.

✨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 CreateFuture.

✨Apply Directly through Our Website

When you find a suitable opening like Principal Data Engineer & Tech Leader (Remote/Hybrid) at CreateFuture, 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 Principal Data Engineer & Tech Leader (Remote/Hybrid)

Communication Skills
Python
Problem-Solving Skills
Data Pipeline Development
Data Governance
Data Quality Assurance
SQL

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 CreateFuture, 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 CreateFuture. 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 CreateFuture

✨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 CreateFuture!

✨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.