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- Tasks: Design and optimise data pipelines using Snowflake and collaborate with clients on data solutions.
- Company: Ambitious consulting firm focused on data and AI innovation.
- Benefits: Competitive pay, performance incentives, and professional growth opportunities.
- Why this job: Make a real impact in AI-driven consulting while working with cutting-edge technologies.
- Qualifications: 5+ years in data engineering, strong Snowflake and SQL skills required.
- Other info: Join a supportive team that values innovation and excellence.
The predicted salary is between 36000 - 60000 £ per year.
We are an ambitious consulting firm focused on delivering cutting-edge solutions in data and AI. Our mission is to empower organisations to unlock the full potential of their data by leveraging platforms like Snowflake alongside other emerging technologies.
As a Data Engineer, you will play a crucial role in building and optimising data solutions, ensuring scalability, performance, and reliability for our clients’ complex data challenges.
The Role
As a Data Engineer (Snowflake), you will be responsible for designing, implementing, and optimising large-scale data processing systems. You’ll work closely with clients, data scientists, and solution architects to build efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem-solving ability, and the confidence to work in a dynamic, client-facing environment.
Your Impact:
- Develop, implement, and optimise data pipelines and ELT processes on Snowflake.
- Work closely with clients to understand business requirements and translate them into technical solutions.
- Design and implement scalable, high-performance cloud data architectures.
- Ensure data integrity, quality, and security through robust engineering practices.
- Monitor, troubleshoot, and optimise data workflows for efficiency and cost-effectiveness.
- Collaborate with data scientists and analysts to enable analytics and machine-learning solutions.
- Contribute to best practices, coding standards, and documentation to improve data engineering processes.
- Mentor junior engineers and support knowledge-sharing across teams.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Snowflake, dbt, and SQL.
- Develop efficient ELT workflows to process large volumes of structured and semi-structured data.
- Implement data governance, security, and compliance standards within Snowflake environments.
- Work with cloud platforms such as AWS, Azure, or GCP to manage data storage and integration.
- Collaborate with cross-functional teams to enhance data accessibility and usability.
- Optimise data warehouse architectures for performance, scalability, and cost efficiency.
- Maintain and improve CI/CD processes for data pipeline deployment and monitoring.
What We Are Looking For:
- 5+ years of experience in data engineering or related roles.
- Strong expertise in Snowflake, SQL, and cloud data platforms (AWS, Azure, or GCP).
- Proficiency in Python for data transformation and automation.
- Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect).
- Knowledge of data modelling, data warehousing, and modern analytics architectures.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code.
- Strong problem-solving skills and the ability to work in fast-paced environments.
- Excellent communication and stakeholder management skills.
Preferred Qualifications:
- Experience integrating Snowflake with data visualisation or ML platforms.
- Knowledge of data streaming technologies such as Kafka or Kinesis.
- Familiarity with Terraform or similar infrastructure automation tools.
- Previous experience in consulting or client-facing delivery roles.
What We Offer:
- Competitive compensation, including performance-based incentives.
- Opportunities for professional growth and development in a fast-growing firm.
- A collaborative and supportive environment that values innovation, excellence, and client success.
If you’re passionate about data engineering and ready to make an impact in AI-driven consulting, we’d love to hear from you!
Data Engineer (Snowflake) employer: Ethiq
Contact Detail:
Ethiq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex data challenges in the past, as this will impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our ambitious team.
We think you need these skills to ace Data Engineer (Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and cloud platforms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for those strong problem-solving abilities, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Ethiq
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss how you've used it in past projects, focusing on specific features like data pipelines and ELT processes. This will show that you’re not just familiar with the platform but can leverage it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex data challenges you've faced and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to thrive in a dynamic environment.
✨Communicate Clearly and Confidently
Since this role involves client interaction, practice articulating your thoughts clearly. Be prepared to explain technical concepts in layman's terms, as you may need to communicate with non-technical stakeholders. Good communication can set you apart from other candidates.
✨Familiarise Yourself with CI/CD Practices
Given the emphasis on CI/CD processes in the job description, make sure you understand how these practices apply to data engineering. Be ready to discuss your experience with deployment and monitoring of data pipelines, as well as any tools you've used like Terraform or Airflow.