Data Engineer: Build AI-Powered Data Platform for Growth

Data Engineer: Build AI-Powered Data Platform for Growth

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
eComplete Group

At a Glance

  • Tasks: Build and manage an AI-powered data platform for multiple brands.
  • Company: Join eComplete Group, a leader in innovative data solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Dynamic role with hands-on experience in cutting-edge AI tooling.
  • Why this job: Make a real impact by delivering analytics-ready data and insights.
  • Qualifications: Strong SQL skills, data modelling experience, and cloud platform knowledge.

The predicted salary is between 45000 - 55000 £ per year.

e Complete Group is seeking a Data Engineer to own the build, deployment, and ongoing operation of our managed data platform across multiple client brands.

You will work across the full data stack, from source connection through to the AI-powered query layer, delivering analytics-ready data and business insights.

This hands-on role requires strong SQL, data modelling, and experience with cloud data platforms (Big Query, GCP) and AI tooling to drive value for brand operators and investors.

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Data Engineer: Build AI-Powered Data Platform for Growth employer: eComplete Group

eComplete is an exceptional employer that fosters a dynamic work culture focused on innovation and growth within the beauty, wellness, and nutrition sectors. As a Data Engineer, you'll enjoy the opportunity to work hands-on with cutting-edge data technologies while directly impacting client success and brand strategies. With a commitment to employee development and a collaborative environment, eComplete empowers you to take ownership of your projects and grow alongside the company as it scales.

eComplete Group

Contact Details:

eComplete Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: Build AI-Powered Data Platform for Growth

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 eComplete Group!

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 Engineer: Build AI-Powered Data Platform for Growth at eComplete Group.

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 eComplete Group.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer: Build AI-Powered Data Platform for Growth at eComplete Group, 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 Engineer: Build AI-Powered Data Platform for Growth

Python
SQL
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Communication Skills
API Integration

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 eComplete Group, 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 eComplete Group. 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 eComplete Group

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 eComplete Group!

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.