At a Glance
- Tasks: Analyse data, build automated systems, and support client engagements.
- Company: Join Finyx, a leading digital transformation provider with a friendly culture.
- Benefits: Enjoy 25 days annual leave, private healthcare, and a company pension scheme.
- Other info: Flexible role with opportunities for growth and skill development.
- Why this job: Kickstart your career in data engineering while earning and learning.
- Qualifications: A Level 3 qualification and a keen interest in data concepts required.
The predicted salary is between 18000 - 25000 £ per year.
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 will have the opportunity to work across a number of areas including client engagements, sales, service line development and internal initiatives. We are looking for a flexible, dynamic individual who will grow into the position and build experience across all areas of our business. Curiosity and continuous improvement are highly valued, and 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 consolidate information from various sources within 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, 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.
- Help identify and qualify new client opportunities for Finyx and support the bid process; coordinate and track the completion of bid responses.
- Assist in the development of Data and AI methodologies.
- Implement and improve internal data platform functionality.
- Create materials to upskill employees and explain our Services.
- Provide support (and potentially own) ongoing internal Finyx projects; this may include analysing and improving internal processes and supporting the design and delivery of company events such as internal training courses.
Qualifications and Experience
- 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-oriented, data-driven mindset.
Desirable Experience
- Experience in a professional environment.
- Experience with Microsoft Office (PowerPoint, Excel and Word).
- Ability to deliver high-quality presentations to a range of audiences.
- Aware of technology trends (e.g., AI).
- Exposure 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:
- 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).
Similar subject relates to areas directly relevant to or commensurate with Digital and Technology Solutions. Typically this includes Level 3 digital apprenticeships, A-Level/BTEC Computer Science, Information Technology, Networking, Software Engineering, etc.
Please note: Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject. A combination of qualifications and experience may still be considered. If you hold international equivalents, you must provide an official document at the time of application stating how your international qualifications compare to UK qualifications.
About Finyx
Since 2006, Finyx has supported clients to deliver large and complex digital transformation programmes and projects. We work on high-value, innovative projects for clients in both the Private and Public Sectors. Finyx operates from three office locations: London, York and Belfast. We pride ourselves on an open, non-corporate, friendly culture built on mutual respect and trust. Our apprenticeships are a practical way to gain new skills, earn while you learn, and launch your career. With over 50,000 successful apprenticeship graduates, we are a top 50 training provider dedicated to helping you succeed.
Benefits
- 25 days annual leave.
- Company pension scheme via salary sacrifice (where eligible).
- Private healthcare (after probation).
- Death in service.
Data Engineer Apprentice employer: Finyx Limited
Finyx is an exceptional employer located in York, offering a vibrant and supportive work culture that fosters curiosity and continuous improvement. As a Data Engineer Apprentice, you'll benefit from hands-on experience across various business areas, alongside opportunities for personal and professional growth within a non-corporate environment. With a commitment to employee development and a strong apprenticeship programme, Finyx provides a unique platform to launch your career while enjoying competitive benefits such as 25 days of annual leave and private healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Apprentice
✨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 Finyx Limited.
✨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 Finyx Limited and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data Engineer Apprentice
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 Finyx Limited 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 Finyx Limited
✨Brush Up on the Basics
Before your interview with Finyx Limited, 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 Finyx Limited. 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!
