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- Tasks: Join a leading travel company as a Data Engineer, optimising data pipelines and driving cloud insights.
- Company: Innovative Pharma brand focused on modernising data platforms and enhancing customer experiences.
- Benefits: Competitive daily rate, flexible work environment, and collaborative culture.
- Other info: 1 day in office, strong support from leadership, and excellent career growth opportunities.
- Why this job: Be part of a major data transformation and tackle exciting technical challenges.
- Qualifications: Experience with Snowflake, SQL, dbt, and cloud data architecture required.
This position as a Snowflake Engineer offers the opportunity to join a leading travel company based near West London, currently undergoing a major cloud data transformation.
This established Pharma brand is known for its innovation and commitment to delivering seamless customer experiences through data. With a focus on modernising its data platforms, the company is investing in Snowflake and cloud-native tooling to better understand customer journeys, improve operations, and fuel growth. Contractors and perm hires we've placed here consistently highlight the collaborative culture, exciting technical challenges, and strong support from leadership.
As a Data Engineer, you will play a crucial role in a data transformation program, focusing on optimising data pipelines and enabling cloud-driven insights. You will also be responsible for post-project documentation, ensuring clear communication with non-technical stakeholders.
Your key responsibilities will include:
- Designing and implementing a Snowflake-based data warehouse, ensuring scalability and efficiency.
- Developing and optimising ELT pipelines, leveraging Snowflake best practices for data ingestion and transformation.
- Enhancing performance and query optimisation, ensuring cost-effective and high-performing workloads.
- Working with dbt and Airflow to transform raw data into structured datasets for analytical consumption.
- Creating clear documentation to communicate technical processes to non-technical teams.
To succeed in this role, you should have:
- Strong commercial experience with Snowflake and its ecosystem.
- Proficiency in SQL for data modelling and transformation within Snowflake.
- Experience with dbt to develop scalable data pipelines.
- Knowledge of ELT processes and best practices for cloud-based data architecture.
- Hands-on experience with performance tuning and query optimisation in Snowflake.
- Familiarity with cloud platforms (AWS/GCP/Azure) and their integration with Snowflake.
Please register your interest by sending your CV via the apply link on this page.
Data Engineer (Snowflake, DBT) in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Snowflake, DBT) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Snowflake and dbt. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience and problem-solving skills.
✨Ace the Interview
Prepare for technical interviews by brushing up on SQL and ELT processes. Practice common data engineering scenarios and be ready to discuss how you’ve optimised data pipelines in past roles. Confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also means you’ll have support throughout the application process. Let’s land that job together!
We think you need these skills to ace Data Engineer (Snowflake, DBT) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, dbt, and SQL. 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 excited about this Data Engineer position and how you can contribute to our cloud data transformation journey. Keep it concise but impactful!
Showcase Your Technical Skills: When detailing your experience, focus on specific tools and techniques you've used in data engineering. Mention any performance tuning or query optimisation work you've done, as this is key for us in this role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with its ecosystem, including any specific projects you've worked on. Highlight how you've optimised data pipelines and improved performance in past roles.
✨Show Off Your SQL Skills
Since SQL is crucial for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or explain your approach to data modelling and transformation. Practise common SQL queries and be ready to discuss how you've used them in real-world scenarios.
✨Familiarise Yourself with dbt and ELT Processes
Get comfortable talking about dbt and ELT processes, as they are key components of the job. Be prepared to share examples of how you've developed scalable data pipelines and the best practices you've followed. This will show that you understand the technical requirements of the role.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to create documentation for non-technical teams, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated technical processes to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between tech and business.