At a Glance
- Tasks: Design and maintain scalable data pipelines using Snowflake for impactful analytics.
- Company: Join a dynamic data team in a forward-thinking organisation.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Flexible contract with occasional travel to London for team collaboration.
- Why this job: Make a difference with data while working on exciting projects.
- Qualifications: Experience with Snowflake, SQL, and data engineering principles required.
We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization.
- 6 months initial contract (OUTSIDE IR35)
- Remote with occasional travel into London (1 day per month)
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL/ELT processes
- Build and optimize data models within Snowflake for performance and scalability
- Ingest data from various sources (APIs, databases, streaming platforms, etc.)
- Ensure data quality, integrity, and governance across systems
- Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions
- Monitor and troubleshoot data workflows and pipeline performance
- Implement best practices for data security, privacy, and compliance
- Document data architecture, processes, and workflows
Required Skills & Experience
- Proven experience as a Data Engineer or in a similar role
- Strong hands-on experience with Snowflake data platform
- Proficiency in SQL and data modeling techniques
- Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with data warehousing concepts and best practices
- Understanding of data governance and data quality principles
Preferred Qualifications
- Experience with modern data stack tools (e.g., dbt, Fivetran, Kafka)
- Knowledge of CI/CD pipelines and DevOps practices
- Experience working with large-scale or real-time data processing systems
- Familiarity with BI tools (e.g., Power BI, Tableau, Looker)
- Snowflake certification is a plus
Data Engineer employer: Intelligent Steps
Join a forward-thinking company that values innovation and collaboration, where as a Data Engineer, you will play a crucial role in shaping data solutions that drive impactful decisions. Enjoy the flexibility of remote work with minimal travel to London, alongside a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies. With a commitment to data quality and governance, this is an excellent opportunity for those looking to make a meaningful contribution in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the data engineering space! Attend meetups, webinars, or even just chat with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Snowflake and data pipelines. Share it during interviews or on your LinkedIn profile. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL and data modelling techniques. Practice common data engineering problems and be ready to discuss your past experiences with ETL/ELT processes. Confidence is key, so show them you know your stuff!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only makes it easier but also shows your interest in being part of our awesome team. Let’s get you that Data Engineer role!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake and data engineering. We want to see how your skills match the job description, 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 team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills:Since we’re looking for someone with strong SQL and ETL/ELT experience, make sure to mention specific tools and technologies you’ve worked with. We want to know how you’ve tackled challenges in your previous roles!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Intelligent Steps
✨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, including any specific challenges you faced and how you overcame them. This will show your hands-on experience and familiarity with the platform.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience designing and maintaining data pipelines. Have examples ready that highlight your proficiency with ETL/ELT processes and the tools you've used, like dbt or Apache Airflow. This will demonstrate your ability to deliver robust data solutions.
✨Emphasise Collaboration
Since you'll be working closely with data analysts and business stakeholders, be prepared to discuss how you've collaborated in the past. Share specific instances where your teamwork led to successful data-driven decisions, showcasing your communication skills and ability to work in a team.
✨Understand Data Governance and Quality
Familiarise yourself with data governance principles and be ready to explain how you've ensured data quality and integrity in your previous roles. This is crucial for the position, so demonstrating your understanding will set you apart from other candidates.
