At a Glance
- Tasks: Build and optimise data pipelines using Azure technologies and create impactful reporting solutions.
- Company: Join a collaborative team in a forward-thinking tech environment in Leicester.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Mentor junior developers and collaborate with diverse product teams.
- Why this job: Make a real impact by bridging traditional SQL with modern cloud and AI/ML tools.
- Qualifications: Strong SQL and Python skills, with experience in Databricks and Azure Data Lake.
The predicted salary is between 60000 - 80000 £ per year.
Are you a senior data professional looking to bridge the gap between traditional SQL databases and modern cloud environments?
We are looking for a
Senior Developer to join a collaborative team in Leicester.
You’ll play a key role in maintaining robust SQL platforms while rapidly scaling up modern Azure data architectures and integrating AI/ML tools.
What You’ll Do
- Build and optimize data pipelines using
- Azure Data Factory (ADF) and
SSIS .
- Leverage
- Databricks and
Azure Data Lake to innovate and streamline workflows.
- Create high-impact reporting solutions in
Power BI .
- Collaborate with multi-functional product teams and mentor junior developers.
What We’re Looking For
Languages
- Strong proficiency in
- SQL and
Python .
Data Platforms
- Hands-on experience with
- Databricks and
Azure Data Lake .
ETL
Proven ability to build efficient pipelines (ADF, SSIS, APIs).
Desirable
Py Spark, Dimensional Modelling, DAX/SSAS, or an interest in AI/ML applications.
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Big Data Developer in Leicester employer: Randstad Digital
Randstad Digital is an excellent employer for Senior Android Engineers, offering a dynamic work culture that fosters collaboration and innovation. With a focus on employee growth, the company provides opportunities for professional development and exposure to cutting-edge technologies, including AI-assisted coding tools. Located in the United Kingdom, Randstad Digital values its team members by promoting a healthy work-life balance and a supportive environment that encourages creativity and high-impact contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Developer in Leicester
✨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 Randstad Digital!
✨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 Big Data Developer at Randstad Digital.
✨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 Randstad Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Big Data Developer at Randstad Digital, 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 Big Data Developer in Leicester
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 Randstad Digital, 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 Randstad Digital. 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 Randstad Digital
✨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 Randstad Digital!
✨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.
