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For Companies At a Glance
- Tasks: Assist in data integration, cleansing, and transformation for analysis and reporting.
- Company: Join Greenwood Academies Trust, educating 17,000 pupils across 39 academies.
- Benefits: Gain hands-on experience with a leading Managed Service Provider and enjoy professional development.
- Why this job: Be part of a dynamic team, work on impactful projects, and enhance your tech skills.
- Qualifications: Strong communication, IT, analytical, and problem-solving skills are essential.
- Other info: Apprenticeship training provided by QA Limited, with potential for career growth.
Assisting in data integration projects by extracting data from various sources (e.g., databases, APIs, flat files) and transforming it into a usable format for analysis and reporting.
Performing data cleansing and transformation activities, including identifying and correcting errors, standardising formats, and enriching data using various techniques.
Supporting the development of data models by creating and maintaining documentation, assisting with data mapping, and contributing to the design of database schemas.
Collaborating with the data engineering team on projects related to migrating data to a cloud-based platform.
Contributing to the creation of data visualisations and reports to present insights to stakeholders.
Key Details
- Vacancy Location: 17 Brunel Way PO15 5TX
- Number of Vacancies: 1
- Vacancy Reference Number: 1000292516
- Apply From: 22/12/2024
- Closing Date For Applications: 2025-01-10 23:59:59
- Possible Start Date: 2025-01-30 00:00:00
Training
Training to be Provided: Data Engineer Level 5. Whilst working for Greenwood Academies Trust (GAT) you will be undertaking a significant amount of your apprenticeship training at Medhurst Communications, who are an education-focused Managed Service Provider (MSP) and technology provider, and will provide the professional development and support, in addition to your line management within GAT.
Skills Required
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
level 5 Data Engineer Apprenticeship employer: Getting In Limited
Contact Detail:
Getting In Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land level 5 Data Engineer Apprenticeship
✨Tip Number 1
Familiarise yourself with data integration tools and techniques. Understanding how to extract, transform, and load (ETL) data will give you a solid foundation for the role and show your enthusiasm for the position.
✨Tip Number 2
Brush up on your cloud computing knowledge, especially related to data migration. Being able to discuss cloud platforms and their benefits during your interview will demonstrate your readiness to contribute to the team.
✨Tip Number 3
Practice your communication skills by explaining complex data concepts in simple terms. This will help you articulate your thoughts clearly during interviews and show that you can effectively collaborate with non-technical stakeholders.
✨Tip Number 4
Engage with online communities or forums related to data engineering. Networking with professionals in the field can provide insights and tips that may help you stand out during the application process.
We think you need these skills to ace level 5 Data Engineer Apprenticeship
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Level 5 Data Engineer. Familiarise yourself with data integration, cleansing, and transformation processes, as well as the tools and techniques commonly used in these areas.
Tailor Your CV: Customise your CV to highlight relevant skills such as communication, IT proficiency, and analytical abilities. Include any experience or projects related to data engineering, even if they were part of your studies or personal projects.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're interested in the apprenticeship and how your skills align with the requirements. Mention specific examples of your problem-solving abilities and teamwork experiences that relate to the role.
Proofread Your Application: Before submitting, carefully proofread your application materials for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Getting In Limited
✨Showcase Your Technical Skills
Be prepared to discuss your technical skills in data engineering, such as data extraction, transformation, and loading (ETL) processes. Highlight any relevant projects or coursework that demonstrate your ability to work with databases, APIs, and data visualisation tools.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to tackle hypothetical scenarios or case studies that require analytical thinking. Explain your thought process clearly and how you would approach solving data-related issues, showcasing your logical reasoning and attention to detail.
✨Emphasise Team Collaboration
Since this role involves working closely with a data engineering team, share examples of past experiences where you successfully collaborated with others. Discuss how you contributed to team projects and how you handle feedback and communication within a group setting.
✨Prepare Questions for the Interviewers
Have a list of thoughtful questions ready to ask the interviewers about the role, the team, and the company culture at Greenwood Academies Trust. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
