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- Tasks: Design and implement robust ETL processes and scalable data structures.
- Company: Join an award-winning tech firm revolutionising the industry with AI-driven solutions.
- Benefits: Up to £70,000 salary, fully remote work, and excellent benefits.
- Other info: Emphasis on work-life balance and Agile methodologies.
- Why this job: Be part of a team that leverages data for major global brands.
- Qualifications: Experience in Python, SQL, Snowflake, and data engineering principles.
The predicted salary is between 60000 - 70000 £ per year.
Join to apply for the Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK role at Akkodis. This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range: Up to £70,000 plus benefits. FULLY REMOTE UK.
Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment? Do you want to work on an AI-Driven SaaS platform that's utilised by some of the biggest brands in the world? If so, this is your chance to help my client build their new Data Infrastructure and leverage the power of data, working on large-scale data processing systems.
They have an award-winning, enterprise-scale SaaS platform that has revolutionised its industry and is being utilised by some of the biggest companies and brand names globally. They currently have hundreds of clients and millions of users!
They built the platform from scratch several years ago using no legacy code and only the best technology stack and enterprise tools within a true Microservices environment. Data is at the heart of what they do, and with an ambitious roadmap ahead, they are looking for a senior data engineer to join them.
I am looking for someone to take ownership of data modelling and engineering across the business. You will have a robust Infrastructure background and a good understanding of the complexities that come when moving one system to another.
Let's talk tech. The platform integrates Python and Snowflake, and you’ll need a deep understanding of SQL and NoSQL databases (MongoDB or similar). You’ll also have exposure to streaming platforms like Apache Kafka and be able to develop and maintain ELT, bringing a solid understanding of data warehousing concepts and best practices.
Essentially, a strong Data Engineer who is a Snowflake enthusiast. You will understand Apache Kafka to a high standard and have solid knowledge of Apache Airflow, with good AWS exposure.
I’d love you to be an advocate of Agile as they place a huge emphasis on Agile Delivery and Scrum, so it’s important you share a similar mindset and appreciate continuous integration and deployment.
This is a great chance to join a firm that does things the right way. They do not compromise on quality and take it very seriously. They place a huge emphasis on delivery, so it’s critical we find someone that shares and owns this mindset!
They have awesome offices in Nottingham but are remote-first, allowing you to work from home if you wish. They treat their staff well and believe in providing a good work-life balance.
Salary up to £70k plus amazing benefits.
Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Snowflake, and ETL processes. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data challenges, as this will impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the data world.
We think you need these skills to ace Snowflake Data Engineer (Python, ETL, SQL) REMOTE UK in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Snowflake Data Engineer role. Highlight your experience with Python, ETL processes, and SQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and why you're excited about working on an AI-Driven SaaS platform. Let us know how you can contribute to our ambitious roadmap.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's data modelling or using Apache Kafka, we love seeing real-world examples of your work that demonstrate your expertise.
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 see what you bring to the table!
How to prepare for a job interview at Akkodis
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Snowflake, SQL, and the other technologies mentioned in the job description. Brush up on your knowledge of ETL processes and data modelling, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data engineering. Think about how you approached these problems and what solutions you implemented, particularly in large-scale environments.
✨Understand Agile Methodologies
Since the company values Agile delivery, be ready to talk about your experience with Agile practices and Scrum. Share examples of how you’ve contributed to continuous integration and deployment in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.