At a Glance
- Tasks: Design and implement large-scale data solutions for an AI-driven platform.
- Company: Join Akkodis, a leader in innovative SaaS technology.
- Benefits: Earn up to £70,000 with remote work and great perks.
- Other info: Enjoy a flexible work environment with opportunities for growth.
- Why this job: Shape the future of data engineering and work on cutting-edge projects.
- Qualifications: Strong skills in Python, Snowflake, ETL/ELT, and cloud services like AWS.
The predicted salary is between 63000 - 70000 € per year.
Akkodis is hiring a Data Engineer for an AI-driven SaaS platform. The role involves designing and implementing large-scale data solutions, focusing on engineering data pipelines, optimizing data flow, and ensuring the reliability and scalability of our data infrastructure.
The position offers a competitive salary of up to £70,000 plus benefits, with a remote work arrangement available.
Ideal candidates have strong experience with:
- Python
- Snowflake
- ETL/ELT
- Cloud services like AWS
Remote Data Engineer - AI-Driven Pipelines & Scale in Manchester employer: Akkodis
Akkodis is an exceptional employer that champions innovation and collaboration in the tech industry. With a strong focus on employee growth, we offer extensive training opportunities and a supportive work culture that values creativity and teamwork. Our remote work arrangement allows for flexibility, making it easier for you to balance your professional and personal life while contributing to cutting-edge AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer - AI-Driven Pipelines & Scale in Manchester
✨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 data engineering projects, especially those involving Python, Snowflake, and cloud services. This will give 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 designing data pipelines or optimising data flow – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote Data Engineer - AI-Driven Pipelines & Scale in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, Snowflake, and ETL/ELT in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to designing and implementing data solutions, as it’ll make you stand out to us.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to our team.
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 without any hiccups!
How to prepare for a job interview at Akkodis
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Snowflake, and ETL/ELT processes. Brush up on your knowledge of cloud services like AWS, as you might be asked to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Company’s Vision
Research Akkodis and their AI-driven SaaS platform. Familiarise yourself with their goals and how your role as a Data Engineer fits into their larger mission. This shows genuine interest and helps you align your answers with their objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data infrastructure, and future projects. This not only demonstrates your enthusiasm for the role but also gives you a clearer picture of what to expect if you join the team.
