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For Companies At a Glance
- Tasks: Lead the transformation of cloud data infrastructure and design robust data solutions.
- Company: Join a forward-thinking company focused on innovation and modern data platforms.
- Benefits: Enjoy 100% remote work, flexible hours, private medical cover, and a company pension.
- Why this job: Be part of a high-performing team building impactful data solutions from scratch.
- Qualifications: 4+ years of SQL experience and 3+ years in Python or PowerShell scripting required.
- Other info: Connect with Neill Ferguson on LinkedIn for more details.
The predicted salary is between 48000 - 72000 £ per year.
About the Role
My client is looking for a Senior Data Engineer to help lead the transformation of their cloud data infrastructure. This is an exciting opportunity to work within a highly autonomous team building secure, scalable, and modern data solutions that support a software ecosystem. You’ll design and implement robust data pipelines, models, and platform architecture – enabling better decision-making, reporting, and real-time data services. The environment is agile, forward-thinking, and full of opportunities for ownership and innovation.
Key Responsibilities
- Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools
- Develop performant, scalable ETL/ELT pipelines across varied data sources
- Build and maintain dimensional models using Kimball, Data Vault, or Data Mesh methodologies
- Collaborate with cross-functional teams including product, analytics, and engineering
- Ensure data quality, documentation, and lifecycle management
Ideal Candidate Profile
- 4+ years of SQL experience (PostgreSQL, Oracle, or MSSQL)
- 3+ years in Python or PowerShell scripting
- Hands-on with API integrations (REST, SOAP)
- Strong experience with DBT and Snowflake
- Confident in data modelling, automation, and testing frameworks
- Familiarity with GIT, Jenkins, and Agile environments
What’s in it for you?
- 100% remote working
- Flexible hours
- Private medical cover
- Company pension
Why Apply?
This is a standout opportunity to play a key role in building a modern data platform from the ground up, within a high-performing team.
For more information on this opportunity, connect with Neill Ferguson on LinkedIn or submit your CV via the link below.
Senior Cloud Data Engineer - Work from Home employer: Ocho
Contact Detail:
Ocho Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Data Engineer - Work from Home
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake and DBT. Having hands-on experience or even personal projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the field, especially those who work with cloud data engineering. Engaging with communities on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data modelling methodologies like Kimball or Data Vault during interviews. Be ready to share examples of how you've applied these techniques in past projects.
✨Tip Number 4
Showcase your understanding of agile environments and collaboration with cross-functional teams. Highlight any relevant experiences where you successfully worked alongside product, analytics, or engineering teams to deliver data solutions.
We think you need these skills to ace Senior Cloud Data Engineer - Work from Home
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in SQL, Python, and cloud data platforms like Snowflake. Emphasise your hands-on experience with ETL/ELT pipelines and any specific methodologies you've used, such as Kimball or Data Vault.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in designing and deploying cloud-based data platforms. Use specific examples from your past work to demonstrate your capabilities.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills relevant to the job, such as API integrations, DBT, and GIT. This will help the hiring team quickly see your qualifications for the Senior Cloud Data Engineer position.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, be sure to mention any previous experiences where you collaborated with product, analytics, or engineering teams. This shows that you can thrive in an agile environment and contribute to team success.
How to prepare for a job interview at Ocho
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and cloud tools like Snowflake and DBT. Bring examples of past projects where you designed data pipelines or worked on cloud data platforms to demonstrate your expertise.
✨Understand the Company’s Data Needs
Research the company’s current data infrastructure and challenges they might be facing. This will allow you to tailor your responses and show how your skills can directly address their needs.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, highlight your experience in collaborative environments. Share specific examples of how you’ve successfully worked with product, analytics, or engineering teams in the past.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach designing a data solution or troubleshooting an issue within a data pipeline, showcasing your analytical thinking and technical knowledge.
