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- Tasks: Join a team transforming data solutions using Azure and Databricks to enhance business performance.
- Company: Dynamic company in Leicester focused on innovative data solutions.
- Benefits: Gain hands-on experience with cutting-edge technologies and collaborative projects.
- Why this job: Be part of a transformative journey in data engineering and make a real impact.
- Qualifications: Experience with DataBricks, SQL, Python, and a passion for learning new skills.
- Other info: Exciting opportunity for career growth in a fast-paced, multifunctional environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: Leicester Duration: 6-month fixed term contract About the role The successful candidate will be part of the team transforming from a traditional SQL team to a modern hybrid cloud platform bringing together the best data, analytical and reporting tools to deliver new and enhance existing products and support our users. You will work with Finance, Product, Warehouse, Marketing, the Brand teams, almost everyone to design and build the data solutions need to measure, report and analyze the performance of the business and its operations. Our focus lies in technologies such as Azure, Databricks, Power BI, and ADF. We actively explore and adopt new technologies to innovate and enhance our processes. We are looking for people who want to learn new skills, get hands-on experience with the latest technologies and become very knowledgeable of BIS systems. Successful candidates will join a great team with a real mix of experience, knowledge and skills. Essential Skills DataBricks or similar and Azure Data Factory Languages: SQL, Python Data Platform: Azure data lake and SQL Server RDBMS ETL: SQL Server Integration Services and ADF Experienced in effectively working in a collaborative manner in a large, fast paced environment within a multifunctional technical team Nice to have Languages: PySQL, C#, R Reporting: PowerBI or similar Modelling: SQL Server SSAS Tabular (DAX) / Dimensional Modelling / Data Warehousing Development Management: Azure DevOps SQL MI / DB ETL: Active Batch, API, Event Hub, Kafka AI / ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted for the next steps. Thank you for your understanding.
Data Engineer - Azure Databricks employer: UST
Contact Detail:
UST Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure Databricks
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure, Databricks, and Power BI. We want to see what you can do, so make sure to highlight your best work when you get the chance.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. We recommend doing mock interviews with friends or using online platforms to practice. The more comfortable you are, the better you'll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Data Engineer - Azure Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our team. We love seeing enthusiasm and a genuine interest in what we do.
Showcase Your Collaborative Spirit: Since you'll be working with various teams, highlight any past experiences where you successfully collaborated with others. We value teamwork, so let us know how you’ve thrived in a fast-paced environment!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at UST
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and Power BI. Brush up on your SQL and Python skills too! Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Show Your Collaborative Spirit
This role involves working with various teams like Finance and Marketing. Be ready to share examples of how you've successfully collaborated in a fast-paced environment. Highlight any experiences where you’ve worked cross-functionally to deliver data solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data engineering challenges. Think of specific scenarios where you had to troubleshoot or innovate using ETL processes or data modelling techniques, and be prepared to walk through your thought process.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the technologies they’re excited about. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
