At a Glance
- Tasks: Shape data integration and influence a modern cloud data platform.
- Company: Respected customer-facing organisation with a loyal UK customer base.
- Benefits: Competitive salary, 28 days' holiday, pension contribution, and healthcare support.
- Other info: Dynamic role with opportunities for quick wins and career growth.
- Why this job: Make a real impact by solving business problems and connecting systems.
- Qualifications: Experience in data integration and familiarity with Microsoft/Azure technologies.
The predicted salary is between 45000 - 55000 £ per year.
Coventry | Hybrid (2 days in the office) | £50,000 - £70,000 + 28 days' holiday plus bank holidays, 5% employer pension contribution, life assurance, employee assistance and 24/7 GP support, retail discounts, optional healthcare cash plan, eyecare and flu-jab support, cycle-to-work scheme | Permanent
Want to decide how an organisation's data works, instead of just fixing it?
Our client is a highly respected, well-known customer-facing organisation with a large and loyal customer base across the UK.
They're building a modern, cloud-first technology team, and this newly created role sits at the centre of it.
You'll be their go-to expert for data and integration, starting from a blank page, with real influence and plenty of chances to make a visible difference quickly.
- What's in it for you
- A greenfield opportunity to shape the integration landscape and the move to a modern cloud data platform, with Microsoft Fabric firmly on the table.
- Hands-on Azure work: Logic Apps, Functions, Data Factory, APIs and event-driven integration.
- Quick wins that get noticed. A few recent integration changes are saving over £100k a year in cloud costs, and there's plenty more to find.
- A leadership team that wants your ideas, and room to grow as data becomes ever more central.
You'll enjoy this if...
- you love connecting systems and making data flow, especially in the Microsoft/Azure world
- you'd rather solve real business problems than close tickets
- you like being trusted to own your area
Sound interesting? Click apply as we have interview slots available!
We welcome applications from all backgrounds and are committed to supporting an inclusive and equitable recruitment process on behalf of our client.
Data Engineer employer: Big Red Recruitment
Join a forward-thinking B2B SaaS software business in Reading as a Service Desk Manager, where you will have the autonomy to lead transformative changes in customer support. With a strong emphasis on innovation through AI and automation, this role offers a dynamic work culture that fosters continuous improvement and professional growth. Enjoy competitive compensation, a performance-related bonus, and the opportunity to shape the future of service management in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Big Red Recruitment!
✨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 Engineer at Big Red Recruitment.
✨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 Big Red Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Big Red Recruitment, 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 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 Big Red Recruitment, 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 Big Red Recruitment. 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 Big Red Recruitment
✨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 Big Red Recruitment!
✨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.
