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- Tasks: Join a dynamic team to model and optimise data for impactful business decisions.
- Company: Be part of an expanding data team focused on delivering tangible business value.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and development.
- Why this job: This role offers the chance to work with cutting-edge technology and make a real impact.
- Qualifications: Expertise in SQL Server, AWS data services, and strong skills in Power BI and Python required.
- Other info: Bonus points for familiarity with ML platforms like SageMaker.
The predicted salary is between 48000 - 72000 £ per year.
We are searching for a remote working Senior Data Engineer to join our clients high-performing Data Engineering team. This role is ideal for an experienced, hands-on professional Senior Data Engineer who thrives on technical leadership, innovation, and delivery.You can be based anywhere in the UK to be considered for the role but you MUST be UK based as overseas working is not possible with our client. Our client is a 100% data-driven company who pride themselves on engineering excellence and delivering impactful solutions to their clients.You will play a crucial role in driving the team\’s vision and objectives and you will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with the team and customers in order to optimise data solutions.This is a unique opportunity for a highly skilled and hard-working Senior Data Engineer with deep hands-on expertise in data engineering and architecture, a strong coding background, and a strategic mindset – someone who can balance technical depth with delivery focus. About YouWe are looking for a passionate, technically strong Senior Data Engineer who is able to deliver and elevate those around them.You will have the following experience: -Seasoned hands-on experience in data engineering, with a track …
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with SQL Server and AWS. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at companies like ours.
✨Tip Number 2
Showcase your hands-on experience with data modelling and optimisation in conversations. Be prepared to discuss specific projects where you’ve successfully implemented dimensional/Kimball models and how they impacted business decisions.
✨Tip Number 3
Familiarise yourself with our company culture and values. Understanding how we leverage data to drive business value will help you articulate how your skills align with our goals during interviews.
✨Tip Number 4
Prepare to discuss your experience with CI/CD pipelines and data governance frameworks. Being able to explain how you've implemented these practices in past roles will demonstrate your readiness for a senior position.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in SQL Server, AWS data services, and Power BI. Use specific examples of how you've modelled and optimised data to support business decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your experience aligns with the company's needs. Mention your hands-on experience with Python and any relevant projects that demonstrate your skills.
Showcase Relevant Projects: If you have worked on projects involving dimensional/Kimball data models or CI/CD pipelines, be sure to include these in your application. Highlight your role and the impact of your contributions.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors. Ensure that your language is clear and professional, reflecting your attention to detail, which is crucial for a Senior Data Engineer.
How to prepare for a job interview at Click To Hired
✨Showcase Your SQL Expertise
Since SQL Server is a major part of the role, be prepared to discuss your experience in detail. Highlight specific projects where you optimised performance or implemented data warehousing solutions, and be ready to answer technical questions that demonstrate your depth of knowledge.
✨Demonstrate Cloud Knowledge
Familiarity with AWS data services is crucial. Brush up on your understanding of RDS, S3, Lambda, and EventBridge. Be ready to discuss how you've built data pipelines in cloud environments and any challenges you faced during implementation.
✨Discuss Data Modelling Experience
Prepare to talk about your experience with dimensional/Kimball data models. Share examples of how you've collaborated with Data Analysts to deliver effective models that support business decisions, showcasing your ability to translate data into actionable insights.
✨Highlight Your Power BI Skills
As Power BI proficiency is essential, be ready to discuss your experience with performance optimisation and deployment strategies. Consider bringing examples of dashboards or reports you've created, and explain how they added value to previous projects.
