Data Engineer: EPOS Pipelines & Automation (Hybrid) in Stoke-on-Trent

Data Engineer: EPOS Pipelines & Automation (Hybrid) in Stoke-on-Trent

Stoke-on-Trent Full-Time 21600 - 50400 £ / year (est.) Home office (partial)
CPM UK

At a Glance

  • Tasks: Join the Liquid team to automate and deliver data solutions for EPOS clients.
  • Company: Dynamic data solutions company with a focus on innovation.
  • Benefits: Salary up to £36,000, private healthcare, generous holidays, and hybrid working.
  • Other info: Exciting opportunity for career growth in a fast-paced industry.
  • Why this job: Make an impact by contributing to innovative data solutions in a collaborative environment.
  • Qualifications: Strong SQL skills, ETL experience, and ability to explain data concepts clearly.

The predicted salary is between 21600 - 50400 £ per year.

A dynamic data solutions company is hiring a Data Engineer to join the Liquid team, focusing on automation and data delivery for EPOS-driven clients. This role offers a salary up to £36,000 per year, along with comprehensive benefits such as private healthcare, generous holiday packages, and hybrid working.

Candidates should have:

  • Strong SQL skills
  • Experience with ETL tools
  • The ability to communicate complex data concepts to non-technical stakeholders

Apply now to contribute to innovative data solutions!

Data Engineer: EPOS Pipelines & Automation (Hybrid) in Stoke-on-Trent employer: CPM UK

Join a dynamic data solutions company that prioritises innovation and employee well-being. With a strong focus on automation and data delivery, this role not only offers a competitive salary of up to £36,000 but also includes comprehensive benefits like private healthcare and generous holiday packages. Embrace a hybrid working culture that fosters collaboration and provides ample opportunities for professional growth in a supportive environment.

CPM UK

Contact Details:

CPM UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: EPOS Pipelines & Automation (Hybrid) in Stoke-on-Trent

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 CPM UK!

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: EPOS Pipelines & Automation (Hybrid) at CPM UK.

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 CPM UK.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer: EPOS Pipelines & Automation (Hybrid) at CPM UK, 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: EPOS Pipelines & Automation (Hybrid) in Stoke-on-Trent

SQL
ETL Tools
Data Delivery
Automation
Communication Skills
Data Concepts
Stakeholder Engagement

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 CPM UK, 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 CPM UK. 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 CPM UK

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 CPM UK!

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.