At a Glance
- Tasks: Shape data-driven transformation and deliver scalable solutions using Azure Synapse and Power BI.
- Company: Leading IT company in the UK with a focus on innovation.
- Benefits: Remote work flexibility, professional growth opportunities, and a supportive team environment.
- Other info: Join a dynamic team and enjoy excellent career advancement opportunities.
- Why this job: Make a real impact on clients' data strategies while working with cutting-edge technologies.
- Qualifications: Experience in data integration, SQL, Python, and a strong understanding of data systems.
The predicted salary is between 60000 - 80000 € per year.
A leading IT company in the United Kingdom is looking for a Senior Data Engineer to help shape data-driven transformation for clients. You will work with technologies such as Microsoft Azure Synapse and Power BI, delivering scalable data solutions. This customer-facing role requires experience with data integration and programming in SQL and Python. Enjoy remote work flexibility and opportunities for professional growth with a supportive team. Ideal candidates will have a strong understanding of data systems and data quality management.
Senior Data Engineer: Remote-First, Azure Synapse & Fabric employer: TEKenable Ltd
As a leading IT company in the United Kingdom, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our remote-first approach allows for flexible working arrangements, while our commitment to innovation ensures that you will be at the forefront of data-driven transformation, utilising cutting-edge technologies like Azure Synapse and Power BI. Join us to be part of a supportive team that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Remote-First, Azure Synapse & Fabric
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those who work with Azure Synapse or data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in SQL and Python. This is your chance to demonstrate your expertise in data integration and quality management, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle real-world problems using Azure technologies. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer: Remote-First, Azure Synapse & Fabric
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Synapse, SQL, and Python. 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. We love seeing enthusiasm and a personal touch.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled data integration challenges in the past. We’re looking for candidates who can think critically and deliver scalable solutions, so let us know how you’ve done this!
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 TEKenable Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Azure Synapse and Power BI. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you delivered scalable data solutions.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your programming skills in SQL and Python. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any unique projects where you’ve integrated data using these languages.
✨Understand Data Quality Management
Since this role involves data quality management, be prepared to discuss your approach to ensuring data integrity. Share experiences where you identified and resolved data quality issues, and how that impacted the overall project.
✨Emphasise Your Customer-Facing Experience
As this is a customer-facing role, think about times when you successfully communicated complex data concepts to non-technical stakeholders. Show how you can bridge the gap between technical and non-technical teams, making you a valuable asset.
