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- Tasks: Design data flows and create ETL processes in an Azure environment.
- Company: Join a financial well-being organisation focused on innovation.
- Benefits: Enjoy hybrid work, pension scheme, health support, and career development.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make a real impact on data integrity and collaborate with stakeholders.
- Qualifications: Strong Azure skills, ETL expertise, and proficiency in SQL required.
The predicted salary is between 60000 - 80000 £ per year.
A financial well-being organization in Milton Keynes seeks a Senior Data Engineer to design data flows in an Azure environment. Responsibilities include creating ETL processes, ensuring data integrity, and collaborating with stakeholders.
Candidates should possess strong Azure skills, ETL expertise, and proficiency in SQL, along with excellent communication abilities.
This role offers a hybrid working model and extensive benefits including a pension scheme, annual leave, health and well-being support, and career development opportunities.
Senior Azure Data Engineer: ETL, Spark & Data Lake (Hybrid) employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer: ETL, Spark & Data Lake (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL processes and data flows you've designed. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Azure knowledge. Practice common interview questions related to data integrity and collaboration, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Azure Data Engineer: ETL, Spark & Data Lake (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure skills and ETL expertise. We want to see how your experience aligns 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 mission. Keep it concise but impactful – we love a good story!
Show Off Your Communication Skills: Since collaboration is key in this role, make sure to demonstrate your communication abilities in your application. Whether it’s through your writing style or examples of teamwork, let us know how you connect with others.
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 get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Azure Inside Out
Make sure you brush up on your Azure skills before the interview. Familiarise yourself with the latest features and best practices for designing data flows in Azure. Being able to discuss specific projects where you've implemented Azure solutions will really impress the interviewers.
✨Showcase Your ETL Expertise
Prepare to talk about your experience with ETL processes. Have examples ready that demonstrate how you've created efficient ETL workflows, tackled data integrity issues, and optimised performance. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨SQL Skills Are Key
Since SQL proficiency is a must-have for this role, be ready to answer technical questions or even solve problems on the spot. Brush up on your SQL queries and be prepared to explain your thought process when tackling data manipulation tasks.
✨Communicate Effectively
Strong communication skills are essential, especially when collaborating with stakeholders. Practice explaining complex technical concepts in simple terms. This will help you demonstrate that you can bridge the gap between technical and non-technical team members, which is crucial for success in this role.