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- Tasks: Lead the creation of a centralised enterprise data warehouse and develop scalable data pipelines.
- Company: Join a forward-thinking tech company focused on innovation and data-driven solutions.
- Benefits: Enjoy a high-impact role with opportunities for mentorship and collaboration in agile teams.
- Why this job: Shape a brand-new data architecture and make a significant impact from day one.
- Qualifications: Strong SQL and Python skills, experience with dbt and cloud platforms required.
- Other info: Contact Johnathan Potts for a confidential chat about this exciting opportunity.
The predicted salary is between 48000 - 84000 £ 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
If you would like to have a confidential conversation and find out more about this opportunity, then get in touch with 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
Familiarise yourself with the specific technologies mentioned in the job description, such as dbt and Snowflake. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences in building data warehouses and ETL/ELT pipelines. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Showcase your ability to work in agile teams by discussing any relevant projects where collaboration was key. Highlight your communication skills and how you’ve mentored others, as this aligns with the role's requirements.
✨Tip Number 4
Research the company’s culture and values to tailor your conversation. Understanding their approach to data and technology will help you align your answers with what they’re looking for in a candidate.
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 experience with SQL, Python, and any relevant cloud platforms like Snowflake. Emphasise your data modelling skills and any projects where you've developed ETL/ELT pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and your desire to work in a greenfield role. Mention specific examples of how you've led projects or mentored others in the data space.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Describe your role in designing and building data warehouses or integrating multiple data sources, focusing on the impact of your contributions.
Highlight Soft Skills: Since strong communication and problem-solving skills are essential for this role, make sure to provide examples of how you've effectively collaborated with teams or resolved challenges in previous positions.
How to prepare for a job interview at Search 5.0
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you developed ETL/ELT pipelines or worked with data modelling techniques like Kimball or Data Vault.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your problem-solving mindset. Prepare to share specific instances where you faced challenges in data integration or quality assurance and how you overcame them.
✨Highlight Collaboration Experience
Since the role involves working closely with engineers, analysts, and product teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully led or mentored others in the data space.
✨Familiarise Yourself with Their Tech Stack
Research the company’s use of tools like dbt, Snowflake, and cloud platforms. Being knowledgeable about their tech stack will show your genuine interest in the role and help you stand out during the interview.