At a Glance
- Tasks: Build and integrate data pipelines while gaining exposure to modern technologies like Microsoft Fabric.
- Company: Join a large UK organisation investing in cutting-edge data capabilities.
- Benefits: Hybrid work model, career progression, and access to modern tech.
- Other info: Supportive team environment with opportunities for technical development and ownership of projects.
- Why this job: Make a real impact on business decisions with your data engineering skills.
- Qualifications: Good SQL skills and experience with ETL processes; eagerness to learn new technologies.
The predicted salary is between 45000 - 55000 £ per year.
Do you have the following skills, experience and drive to succeed in this role Find out below.
Are you a Data Engineer who wants to do more than just build pipelines?
Perhaps you're working with SQL, SSIS or Azure and wondering when you'll get the opportunity to work with newer technologies like Microsoft Fabric?
Or maybe you're already working with modern data platforms but want more variety, more ownership and the opportunity to make a genuine difference to a business?
We're working with a large, established UK organisation that's investing heavily in its data capabilities.
They've built a talented data team, adopted Microsoft Fabric as their strategic platform and have an exciting pipeline of projects stretching well into the future.
Either way, this could be worth a conversation.
It's hybrid. The team meet at the Solihull offices twice a week.
And they're looking for another engineer to join them.
This isn't a role where you'll spend your days maintaining the same pipelines or churning out reports.
You'll work across the data lifecycle, building pipelines, integrating systems, modelling data and helping the business get real value from its information.
There's also the opportunity to gain exposure to application development, Power BI, Oracle technologies and emerging AI solutions.
- Work across the data lifecycle, building pipelines, integrating systems, modelling data and helping the business get real value from its information.
- Gain exposure to application development, Power BI, Oracle technologies and emerging AI solutions.
- Good SQL skills and experience with ETL processes and data pipelines.
- An understanding of data modelling and data warehousing.
- Experience with Microsoft data technologies, whether that's SSIS, Azure Data Factory or Microsoft Fabric.
- The confidence to engage with stakeholders and understand what they're trying to achieve.
- A genuine appetite to learn new technologies and broaden your skills.
You'll be joining a supportive, growing team with access to modern technology, meaningful projects and a clear route into more senior engineering and management positions.
You'll have ownership of your work, direct exposure to the business and the opportunity to develop skills across data engineering, integration, application development and AI.
- And importantly, you won't be expected to arrive knowing it all but you will will get:
- Genuine career progression and technical development.
- Exposure to Microsoft Fabric and a broad enterprise technology environment. xsabvtc
If you're a capable Data Engineer who's ready for a broader, more interesting challenge, I'd love to tell you more.
Please click on the apply button to read the full job description
Data Engineer - Learn Fabric employer: Big Red Recruitment Midlands
Big Red Recruitment Midlands is an attractive employer due to its commitment to professional development and a supportive work culture. Employees enjoy the opportunity to work with modern technologies and contribute to impactful projects. The hybrid working model further enhances work-life balance, making it a desirable workplace.
Contact Details:
Big Red Recruitment Midlands Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Learn Fabric
✨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 Midlands!
✨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 - Learn Fabric at Big Red Recruitment Midlands.
✨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 Midlands.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Learn Fabric at Big Red Recruitment Midlands, 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 - Learn Fabric
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 Midlands, 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 Midlands. 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 Midlands
✨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 Midlands!
✨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.
