At a Glance
- Tasks: Join our Data & AI team to build cloud-based data systems and support analytics.
- Company: Movar, an award-winning company focused on innovative project solutions.
- Benefits: Growth opportunities, supportive culture, and hands-on experience with modern technologies.
- Other info: Exciting growth phase with a people-first approach and strong team values.
- Why this job: Make a real impact while learning from experienced engineers in a dynamic environment.
- Qualifications: Degree in a technical field and basic understanding of databases and programming.
The predicted salary is between 51750 - 63250 £ per year.
At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.
Why Join Movar? Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.
Our IDEAL Values:
- Integrity – We do the right thing, always.
- Drive – We push boundaries and strive for excellence.
- Empathy – We care deeply about our people and clients.
- Adaptability – We embrace change and thrive in it.
- Loyalty – We stand by each other and our mission.
Job Summary
About the Role: Movar is seeking a Graduate Data Engineer to join our Data & AI team and develop expertise in building cloud-based data systems. You will work alongside experienced engineers to design and implement data pipelines that support analytics and AI across major infrastructure programmes. This role offers excellent opportunities to learn modern data engineering practices whilst contributing to meaningful projects from day one.
Core Responsibilities:
- Assist in developing and maintaining data pipelines using Azure Data Factory and related services.
- Support ETL/ELT workflow implementation under supervision of senior engineers.
- Learn to work with cloud data storage, including Azure Data Lake and SQL Server.
- Participate in data quality monitoring and troubleshooting activities.
- Document technical processes and contribute to team best practices.
- Develop proficiency in Azure cloud technologies through hands-on project work.
Technical Stack
- Core: SQL Server
- Development: Git
- ETL concepts
- Databricks basics
- Cloud certifications: (AZ-900, DP-900)
What You'll Bring:
- A degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
- Basic understanding of databases, SQL, and programming concepts.
- Curiosity about cloud technologies and data architecture.
- Strong problem-solving skills and attention to detail.
- Eagerness to learn and grow within a fast-paced technical environment.
Office Address: Unit 3 Knot House, 6 Brewery Square, London SE1 2LF
Graduate Data Engineer employer: Movar Limited
As a leading project delivery firm in the UK, we pride ourselves on our people-first culture that prioritises employee well-being and development. Joining our Data & AI team as a Graduate Data Engineer means you'll have access to exceptional growth opportunities, mentorship from seasoned professionals, and the chance to work on impactful projects that shape the future of cloud data systems.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Engineer
✨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 Movar Limited!
✨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 Graduate Data Engineer at Movar Limited.
✨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 Movar Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Engineer at Movar Limited, 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 Graduate Data Engineer
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 Movar Limited, 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 Movar Limited. 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 Movar Limited
✨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 Movar Limited!
✨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.
