Data Engineer Apprentice in York

Data Engineer Apprentice in York

York Apprenticeship 18000 - 25000 £ / year (est.) No working from home possible
QA Apprenticeships

At a Glance

  • Tasks: Join our team to analyse data, automate processes, and support exciting digital projects.
  • Company: Finyx, a dynamic company driving digital transformation in the UK.
  • Benefits: Enjoy 25 days annual leave, private healthcare, and a supportive work culture.
  • Other info: Flexible working hours with a mix of office and remote work.
  • Why this job: Kickstart your career in data engineering with hands-on experience and growth opportunities.
  • Qualifications: A Level 3 qualification in a relevant area and a passion for data.

The predicted salary is between 18000 - 25000 £ per year.

About Finyx: Since 2006, Finyx have supported our clients to deliver large and complex digital transformation programmes and projects that have added real value to their operations. We work on high value, innovative and interesting projects for clients who are strategically vital for the UK economy in both the Private and Public Sectors. Finyx operate out of three office locations in London, York and Belfast. We pride ourselves on having built a happy and healthy place to work with an open, non-corporate, fun culture built on mutual respect and trust.

About the role: This is an exciting opportunity within our York Delivery Centre. The right candidate will be joining alongside a number of other Analysts at the same level and given the opportunity to work across a number of areas including:

  • Client Engagements - working as part of a Finyx team on digital, data & technology programmes and projects.
  • Sales - assisting in the identification of potential opportunities and supporting the creation of bid responses.
  • Service Line Development – aiding in the creation of materials that will help us to sell and to deliver our consulting services.
  • Internal Initiatives – contributing to the ongoing growth of Finyx; improving internal processes and contributing to our Corporate Social Responsibility (CSR) and Inclusion, Diversity and Equality (I,D&E) agendas.

We are looking for a flexible, dynamic individual who will grow into the position and look to build experience across all areas of our business. Curiosity and continuous improvement are highly valued, meaning you don’t need to meet every requirement to apply. If you’re excited about this role and think you could be a good fit, we’d love to hear from you.

Responsibilities:

  • Analyse, understand and communicate business problems or opportunities.
  • Communicate effectively with both technical and non-technical stakeholders.
  • Support the design and build of automated data systems and pipelines.
  • Identify areas for improvement, research potential options, analyse the impact of change and define success measures.
  • Establish structured data stores and consolidating information from various sources of an organisation.
  • Transform documented business workflows into automated processes using tools within the business.
  • Apply tools and techniques for data analysis and data visualisation to present clear findings and recommendations.
  • Summarise and present data / conclusions in the most appropriate format for users, by translating technical concepts into non-technical language.
  • Take an iterative approach to completing task-based outputs for a project.
  • Prepare for, attend, and contribute to client meetings and workshops.
  • Helping to identify and qualify new client opportunities for Finyx and supporting the bid process; coordinating and tracking the completion of our bid response.
  • Assisting in the development of Data and AI methodologies.
  • Implement and improve internal data platform functionality.
  • Creating materials to upskill employees and explain our Services.
  • Providing support (and potentially owning) ongoing internal Finyx projects; this may include analysing and improving internal processes, supporting the design and delivery of company events such as internal training courses for example.

To thrive in this role, you’ll bring:

  • A proactive attitude with the ability to progress tasks autonomously.
  • Data analysis and problem-solving skills.
  • Clear and thoughtful communicator who values open dialogue and clarity.
  • Ability to work collaboratively as part of a team.
  • A keen interest in data concepts and technology.
  • Organisational skills and good attention to detail.
  • Ability to approach tasks with a process orientated, data driven mindset.

We’d love to see experience in:

  • Working within a professional environment.
  • Working with Microsoft suite (incl. PowerPoint, Excel and Word).
  • Delivering high quality presentations to a range of audiences.
  • Awareness of technology trends (e.g. AI).
  • Introduced to data concepts such as data modelling, pipeline usage and visualisation.

Entry requirements:

  • A Level 3 qualification in a relevant area in any grade. Acceptable qualifications include, any of:
  • Two A levels in one or more similar subject.
  • Level 3 apprenticeship in a similar subject.
  • International Baccalaureate at Level 3 in a similar subject.
  • BTEC Extended Diploma in a similar subject.
  • Experience with programming languages (such as Python) OR equivalent work experience: 2-3 years in a similar subject-related role.

Please note: Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject. You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website.

Working hours: 9am - 5pm, Monday to Thursday (office based), Friday will be working from home.

Benefits:

  • 25 days annual leave.
  • Company pension scheme via salary sacrifice (if eligible).
  • Private healthcare (after probation).
  • Death in service.

Future prospects: 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.

About QA: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.

Interested? Apply now! Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.

Data Engineer Apprentice in York employer: QA Apprenticeships

At Zexi Ltd, we pride ourselves on being an excellent employer that fosters a dynamic and supportive work culture. As a Marketing & Sales Apprentice, you will enjoy real ownership of your role, with direct access to leadership and the opportunity to make a tangible impact on our business growth. Our commitment to employee development is evident in our apprenticeship programme, which boasts a high success rate for securing permanent employment, alongside benefits like a company pension and free on-site parking.

QA Apprenticeships

Contact Details:

QA Apprenticeships Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer Apprentice in York

Get Involved in Data Science Communities

Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!

Tap Into University Resources

Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at QA Apprenticeships.

Work on Real-World Data Projects

Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.

Show Off Your Passion

Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of QA Apprenticeships and show them you’re genuinely passionate about the field.

We think you need these skills to ace Data Engineer Apprentice in York

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!

Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at QA Apprenticeships that you're eager to learn and grow in the data field!

Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.

Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!

How to prepare for a job interview at QA Apprenticeships

Brush Up on the Basics

Before your interview with QA Apprenticeships, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.

Showcase Your Projects

Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!

Get Comfortable with Technical Questions

Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.

Emphasise Your Willingness to Learn

As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at QA Apprenticeships. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!