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For Companies At a Glance
- Tasks: Support design and development of data pipelines and assist in data infrastructure setup.
- Company: Join a leading distribution company known for quality and innovation.
- Benefits: Competitive apprenticeship salary, hands-on experience, and structured learning path.
- Why this job: Kickstart your career in data engineering with real-world challenges and modern tools.
- Qualifications: Interest in data and technology; basic programming knowledge is a plus.
- Other info: Friendly environment with growth opportunities and support from experienced professionals.
Overview
Your Company: NET Recruit is assisting a distribution company in their search for an Apprentice Data Engineer based in the Kent area. Established over 40 years ago, this company has grown to become a leader in sourcing, producing, and distributing fresh produce to some of the UK’s top retailers. Known for its focus on quality, integrity, and innovation, the company takes pride in its business practices and acknowledges that its ongoing success depends on its people.
As part of its ongoing investment in technology and digital innovation, the business is looking for an enthusiastic and motivated Apprentice Data Engineer to join its IT team, working five days per week. This position represents an exceptional opportunity for an individual with a passion for data, analytics, and technology to begin a rewarding career within a supportive and forward-thinking environment, where learning and growth are actively encouraged.
Responsibilities
- Support the design, development, and maintenance of scalable data pipelines using tools such as Apache Airflow, dbt, or Azure Data Factory.
- Learn how to ingest, transform, and load data from a variety of sources, including APIs, databases, and flat files.
- Assist in the setup and optimisation of data infrastructure and storage solutions, such as data warehous…
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Apprentice Data Engineer employer: NET Recruit
Contact Detail:
NET Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Apprentice Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you stand out as someone who genuinely wants to be part of their team.
✨Tip Number 3
Practice your technical skills! Since you're aiming for a role as an Apprentice Data Engineer, brush up on your Python and SQL. Consider working on personal projects or contributing to open-source to showcase your abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Apprentice Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and technology shine through. Share any relevant experiences or projects that highlight your interest in analytics, as this will resonate with us at StudySmarter.
Tailor Your Application: Make sure to customise your application to reflect the specific skills and responsibilities mentioned in the job description. We want to see how you can contribute to our team, so align your experiences with what we’re looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at NET Recruit
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Apache Airflow, dbt, and Azure Data Factory. Being able to discuss how these tools work and their applications will show your enthusiasm and readiness to learn.
✨Show Your Passion for Data
Prepare examples of projects or experiences where you've engaged with data, whether through coursework or personal projects. This will help demonstrate your genuine interest in data engineering and your proactive attitude towards learning.
✨Ask Insightful Questions
During the interview, ask questions about the company's data practices, team dynamics, or upcoming projects. This shows that you're not only interested in the role but also eager to contribute to the team's success.
✨Emphasise Teamwork and Communication
Highlight your ability to work collaboratively and communicate effectively. Share examples of how you've successfully worked in teams or communicated complex ideas, as this is crucial for collaborating with Data Analysts and Business Stakeholders.
