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- Tasks: Join a dynamic team to design and implement data solutions using SQL Server and AWS.
- Company: Be part of a forward-thinking company that values collaboration and innovation in data management.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights in a supportive environment.
- Qualifications: Experience with SQL Server, AWS, and data modelling is essential; passion for data is a must.
- Other info: Ideal for those who want to elevate their career in a rapidly growing field.
The predicted salary is between 43200 - 72000 £ per year.
My client is looking for a Senior Data Engineer to join their expanding data team. This is an excellent opportunity for someone who thrives in a collaborative, insight-driven environment and is passionate about leveraging data to deliver tangible business value.
This is not a role for someone just moving data from A to B with Python; it's for someone who understands how to model.
Senior Data Engineer (SQL Server / AWS) employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (SQL Server / AWS)
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around SQL Server and AWS. Being able to discuss recent developments or tools in your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Prepare to showcase your experience with data modelling and transformation processes. Think of specific projects where you’ve added value through your data engineering skills, as this will help you stand out during discussions.
✨Tip Number 3
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 4
Be ready to discuss how you approach collaboration within a team. Since the role emphasises a collaborative environment, sharing examples of successful teamwork or cross-functional projects can highlight your fit for the position.
We think you need these skills to ace Senior Data Engineer (SQL Server / AWS)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific skills and experiences required for the Senior Data Engineer position. Highlight your expertise in SQL Server and AWS, as well as your ability to model data effectively.
Tailor Your CV: Customise your CV to reflect your relevant experience and skills that align with the job requirements. Emphasise your previous roles where you have successfully leveraged data to drive business value.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your collaborative approach. Mention specific projects or achievements that demonstrate your ability to deliver insights and value through data.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Adria Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL Server and AWS in detail. Highlight specific projects where you've successfully implemented data models or optimised data pipelines, as this will demonstrate your technical expertise.
✨Emphasise Collaboration
Since the role requires working in a collaborative environment, share examples of how you've worked effectively within a team. Discuss any cross-functional projects you've been involved in and how you contributed to achieving common goals.
✨Demonstrate Business Acumen
It's important to show that you understand how data can drive business value. Prepare to discuss how your data engineering work has impacted business decisions or outcomes in previous roles, showcasing your ability to connect technical work with business objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the challenges they face. This not only shows your interest in the role but also your proactive approach to understanding how you can contribute to their success.
