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- Tasks: Design and build scalable data pipelines while ensuring top-notch data quality.
- Company: IMSERV, a forward-thinking company in Milton Keynes.
- Benefits: 28 days annual leave, enhanced pension, and great employee perks.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with your data engineering skills.
- Qualifications: Experience in Spark (PySpark), SQL, and Azure Data Factory required.
The predicted salary is between 45000 - 55000 £ per year.
IMSERV is hiring a Data Engineer in Milton Keynes to design, build, and manage data solutions. The role focuses on creating scalable data pipelines and ensuring data quality.
Responsibilities include:
- Maintaining data infrastructure
- Collaborating with various teams
Candidates should have extensive experience in Spark (PySpark), SQL, and Azure Data Factory.
The position offers 28 days of annual leave, enhanced pension contributions, and access to various employee benefits.
Data Engineer - Spark, Azure & Fabric Pipelines in Milton Keynes employer: IMSERV
Contact Detail:
IMSERV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Spark, Azure & Fabric Pipelines in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to current or former employees at IMSERV on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and projects using Spark, SQL, and Azure. This will help us see your practical experience and creativity.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Spark and Azure knowledge. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Spark, Azure & Fabric Pipelines in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Spark, SQL, and Azure Data Factory. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team at IMSERV. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at IMSERV
✨Know Your Tech Inside Out
Make sure you brush up on your Spark (PySpark), SQL, and Azure Data Factory skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed and built data pipelines in the past. Think of examples that highlight your ability to ensure data quality and maintain infrastructure, as this will be key for the role.
✨Collaboration is Key
Since the role involves working with various teams, be ready to share experiences where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, and how IMSERV measures success in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.