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- Tasks: Design and develop scalable data solutions using Microsoft technologies.
- Company: Join a growing Data Engineering team in a collaborative environment.
- Benefits: Fully remote work, competitive pay, and holiday entitlement.
- Why this job: Make an impact by enabling data-driven decisions across the business.
- Qualifications: Experience in data engineering and knowledge of Agile practices.
- Other info: Opportunity to promote best practices and ensure high standards.
The predicted salary is between 42000 - 66000 £ per year.
We’re looking for a talented and motivated Data Engineer to join a growing Data Engineering team delivering high-quality, enterprise-scale data solutions. This is a great opportunity to work in a collaborative, technically strong environment using Microsoft technologies to build robust data platforms that enable data-driven decision-making across the business.
You’ll work closely with Architects, Senior Engineers, and a wide range of stakeholders to design, develop, and deliver scalable data solutions. Alongside project delivery, you’ll play an active role in promoting engineering best practices, contributing to Agile delivery, and ensuring solutions meet high standards for security, compliance, and data governance.
Data Engineer employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering interview questions and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft technologies and data solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
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. Keep it concise but impactful – we love a good story!
Showcase Your Collaboration Skills: Since you'll be working closely with Architects and Senior Engineers, it's important to highlight your teamwork abilities. Share examples of how you've successfully collaborated in past projects to deliver high-quality solutions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Intec Select
✨Know Your Tech Stack
Make sure you’re familiar with the Microsoft technologies mentioned in the job description. Brush up on your knowledge of data platforms and be ready to discuss how you've used them in past projects.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Architects and Senior Engineers, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully collaborated on a project.
✨Understand Agile Methodologies
Familiarise yourself with Agile principles and practices. Be prepared to discuss how you've applied Agile in your previous roles and how it can benefit data engineering projects.
✨Emphasise Security and Compliance
Given the importance of security and data governance, come equipped with examples of how you've ensured compliance in your past work. This will show that you take these aspects seriously and understand their significance in data engineering.
