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- Tasks: Build and optimize scalable data architectures and pipelines for impactful data solutions.
- Company: Join an innovative, fast-growing organization transforming industries with advanced data-driven solutions.
- Benefits: Enjoy competitive compensation, bonuses, company shares, and a laptop.
- Why this job: Be part of a data revolution in a dynamic environment with abundant growth opportunities.
- Qualifications: Bachelor's degree in Computer Science or related field; strong Python and AWS experience required.
- Other info: Connect with Ryan Quinn on LinkedIn to explore this exciting opportunity!
The predicted salary is between 43200 - 72000 £ per year.
We’re supporting a forward-thinking tech company on the lookout for a Senior Data Engineer to lead the build of a brand-new, centralised enterprise data warehouse — the company’s single source of truth.
This is a high-impact, greenfield role where you’ll own everything from architecture to deployment. If you\’re passionate about data, thrive in agile teams, and want to shape something from the ground up — this is for you.
What you’ll do:
- Design and build a cloud-native data warehouse
- Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.)
- Integrate multiple data sources (cloud & on-prem)
- Ensure high data quality, performance and reliability
- Collaborate with engineers, analysts and product teams
- Lead best practices and mentor others in the data space
What They’re looking for:
- Strong SQL and Python skills
- Experience with dbt, Snowflake (or similar), and cloud platforms
- Solid data modelling background
- Familiar with APIs (REST/SOAP), Git, CI/CD, and test automation
- Strong communicator with a proactive, problem-solving mindset
Find out more
If you would like to have a confidential conversation and find out more about this opportunity, then get in touch with at Johnathan Potts Search 5.0 on 07880850450 or click apply
Senior Data Engineer employer: Search 5.0
Contact Detail:
Search 5.0 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with AWS services prominently. Since the role emphasizes leveraging AWS tools like S3, Lambda, and Redshift, having specific examples of how you've used these in past projects can set you apart.
✨Tip Number 2
Highlight your Python programming skills by discussing any relevant projects or scripts you've developed. This will demonstrate your ability to create tools for data manipulation and automation, which is crucial for this position.
✨Tip Number 3
Prepare to discuss your approach to performance optimization in data pipelines. Being able to articulate best practices you've implemented in previous roles will show that you can maintain efficient data flow in a fast-paced environment.
✨Tip Number 4
Familiarize yourself with the company's innovative projects and their impact on the industry. Showing genuine interest and understanding of their mission can help you connect with the team during interviews.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS services and Python. Use specific examples that demonstrate your skills in building data pipelines and optimizing data architectures.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's mission. Mention how your background aligns with their innovative approach and how you can contribute to their data-driven solutions.
Highlight Relevant Projects: Include any projects or experiences that specifically relate to data integration, ETL processes, or performance optimization. This could be personal projects, previous job roles, or contributions to open-source initiatives.
Showcase Problem-Solving Skills: In your application, provide examples of challenges you've faced in data engineering and how you overcame them. This will demonstrate your problem-solving abilities and adaptability in a fast-paced environment.
How to prepare for a job interview at Search 5.0
✨Showcase Your AWS Expertise
Be prepared to discuss your experience with AWS services like S3, Lambda, Glue, and Redshift. Highlight specific projects where you utilized these tools to optimize data solutions, as this will demonstrate your hands-on knowledge and ability to leverage cloud technologies.
✨Demonstrate Python Proficiency
Since strong proficiency in Python is crucial for this role, come ready to share examples of Python scripts or tools you've developed. Discuss how you've used Python for data manipulation, automation, or workflow optimization in previous projects.
✨Discuss Data Pipeline Development
Prepare to talk about your experience in building and maintaining scalable data pipelines. Be specific about the ETL processes you've implemented and how you've ensured data accuracy and consistency across various platforms.
✨Emphasize Problem-Solving Skills
In a fast-paced environment, problem-solving is key. Share examples of challenges you've faced in data engineering and how you approached them. This will showcase your ability to thrive under pressure and contribute effectively to cross-functional teams.
