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- Tasks: Design and build a modern data platform using Snowflake on AWS.
- Company: Join a forward-thinking client focused on innovative data solutions.
- Benefits: Remote work, competitive pay, and potential for extension.
- Why this job: Shape the future of data engineering in a greenfield environment.
- Qualifications: Senior-level experience with Snowflake and data ingestion frameworks required.
- Other info: Collaborate with a dynamic team and contribute to exciting AI initiatives.
The predicted salary is between 54000 - 84000 £ per year.
Duration: 6 Months to start (high possibility of extension)
Location: Remote (EST Hours Preferred)
Our client is building a modern enterprise data platform and is seeking a Senior Data Engineer to help design, build, and mature a Snowflake-based data platform hosted on AWS. This role will focus on establishing the core data engineering and infrastructure foundation in a green environment, enabling reliable data ingestion, transformation, observability, and scalability to support downstream analytics and AI initiatives.
Key Responsibilities
- Design and build a modern enterprise data platform using Snowflake on AWS
- Develop and maintain data ingestion (API, Batch, Streaming and CDC) and transformation pipelines using DBT
- Build and maintain canonical data models with focus on optimization of data structures based on consumption patterns
- Implement and manage Infrastructure as Code (IaC) using Terraform
- Build and support CI/CD pipelines and deployment workflows using GitLab
- Work closely with cloud and platform teams to ensure scalable, secure, and reliable infrastructure
- Integrate data from SAP S/4 RISE on AWS into the enterprise data platform
- Establish data quality and observability practices (Monte Carlo is a strong plus)
- Support the migration from a legacy Azure-based environment to AWS
- Contribute to architectural decisions as the data platform continues to evolve
Must Have:
- Senior-level Data Engineering experience
- Deep, hands-on expertise with Snowflake
- Experience building data ingestion frameworks (API, Batch, Streaming and CDC)
- Experience with AI assisted programming or vibe coding tools to accelerate development cycles
- Expert in data modelling and SQL queries performance tuning
- Strong experience building data pipelines using DBT
- Strong AWS experience, including services such as: S3, Lambda, Redshift, DynamoDB
- Proven experience with Infrastructure as Code, specifically Terraform
- Strong DevOps mindset with experience in CI/CD and automated deployments
- Experience working in early-stage or greenfield data environments
- Strong communication skills and ability to work independently in a fully remote setting
Role One: Senior Data Engineer in England employer: S.i. Systems
Contact Detail:
S.i. Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Role One: Senior Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data ingestion frameworks and Infrastructure as Code. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Role One: Senior Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Snowflake, AWS, and data ingestion frameworks. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've built data pipelines or worked with Infrastructure as Code. We love seeing real examples of your work that demonstrate your expertise and problem-solving skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at S.i. Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, AWS, and the specific data ingestion frameworks mentioned in the job description. Brush up on your SQL performance tuning skills and be ready to discuss your hands-on experience with DBT and Terraform. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve tackled challenges in data engineering, especially in greenfield environments. Think of specific examples where you’ve built data pipelines or improved data quality. This will show that you can think critically and adapt to new situations, which is crucial for this role.
✨Communicate Clearly and Confidently
Since this role is remote, strong communication skills are a must. Practice explaining complex technical concepts in simple terms. Be prepared to discuss how you’ve collaborated with teams in the past, especially in a fully remote setting. Clear communication can set you apart from other candidates.
✨Understand the Company’s Vision
Research the client’s goals and how they plan to evolve their data platform. Familiarise yourself with their current tech stack and any recent news about them. Showing that you understand their vision and how you can contribute will demonstrate your genuine interest in the role and the company.
