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- Tasks: Own and optimise AI-driven data pipelines using real-world data.
- Company: Leading AI-driven SaaS firm in London with a supportive culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Why this job: Join a dynamic team and make an impact in the AI space.
- Qualifications: Strong Python and SQL skills, experience with Spark and Snowflake.
- Other info: Collaborative environment with great career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI-driven SaaS firm in London seeks a Senior Data Engineer to take ownership of core data pipelines and work with real-world data. The ideal candidate will have strong experience in Python and SQL, along with skills in building data pipelines using technologies like Spark and Snowflake.
This hybrid position values collaboration and mentorship within a supportive engineering team. Right to work in the UK is required, and sponsorship is not available.
Senior Data Engineer: Scale AI-Driven Data Pipelines employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Scale AI-Driven Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at AI-driven firms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python, SQL, Spark, and Snowflake. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data pipeline architecture. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like 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 Senior Data Engineer: Scale AI-Driven Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and any data pipeline technologies like Spark and Snowflake. We want to see how your skills align with what we’re looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention specific projects or experiences that relate to building data pipelines and working with real-world data.
Be Yourself: We value collaboration and mentorship, so let your personality shine through! Share your passion for data engineering and how you enjoy working in a team environment.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get to know you better!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with building data pipelines using Spark and Snowflake, as these are key technologies for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous projects and how you overcame them. This will demonstrate your ability to handle real-world data issues effectively.
✨Emphasise Collaboration and Mentorship
Since this position values teamwork, think about times when you've collaborated with others or mentored junior engineers. Highlighting these experiences will show that you're a great fit for their supportive engineering team.
✨Research the Company Culture
Take some time to understand the company's mission and values. Being able to articulate why you want to work there and how you align with their culture can set you apart from other candidates.
