At a Glance
- Tasks: Manage user access, configure workflows, and support application development.
- Company: Join IMO, a forward-thinking organisation in London.
- Benefits: Gain valuable experience, flexible hours, and a supportive team environment.
- Other info: Great opportunity for growth and learning in a dynamic tech space.
- Why this job: Kickstart your career in data engineering and make a real difference.
- Qualifications: Basic understanding of data management and problem-solving skills.
The predicted salary is between 54000 - 66000 £ per year.
Data Engineering Assistant at IMO.
Grade: G-6.
Application deadline: 17 October 2026.
The Data Engineering Assistant will perform the following functions
- User Access and Workflow Configuration.
Manage user accounts, roles, and permissions for web-based applications (Web Accounts administration), including onboarding/offboarding and periodic access reviews.
Configure, monitor, and maintain workflows for online forms, Share Point web parts, and related web components.
Apply routine updates and system checks to ensure applications are stable, secure, and performing efficiently.
- Application Development Support.
Identify and resolve minor bugs within internal applications and web forms.
Support developers during code deployments, configuration changes, and testing cycles.
Assist with data migrations and basic integration support between platforms and systems.
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Data Engineering Assistant employer: GloJobs
At IMO, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Data Engineering Assistant in London, you will benefit from comprehensive training and development opportunities, ensuring your growth within the company while contributing to meaningful projects that enhance data security and efficiency. Our commitment to employee well-being and a supportive environment makes us an excellent employer for those looking to make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Assistant
✨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 GloJobs!
✨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 Engineering Assistant at GloJobs.
✨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 GloJobs.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Assistant at GloJobs, 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 Engineering Assistant
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 GloJobs, 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 GloJobs. 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 GloJobs
✨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 GloJobs!
✨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.
