At a Glance
- Tasks: Own data pipelines and analytics for a high-growth payments platform.
- Company: Join FullRemoteTalent, a leader in remote work innovation.
- Benefits: Flexible remote work, learning budget, and conference allowance.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make an impact by modernising data processes and mentoring fellow engineers.
- Qualifications: 5+ years in data engineering with Python, DBT, and Airflow experience.
The predicted salary is between 60000 - 80000 £ per year.
FullRemoteTalent is seeking a Data Engineer to own pipelines and analytics for a high-growth payments platform. This role involves modernizing the stack, mentoring engineers on data quality and reliability, and scaling batch and streaming processes with Spark.
The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow.
The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance.
Senior Data Engineer - Remote (UK/EU Time Zones) employer: FullRemoteTalent
FullRemoteTalent is an exceptional employer that champions a flexible remote work culture, allowing you to thrive in your role as a Senior Data Engineer from the comfort of your home within the UK or EU time zones. With a strong emphasis on employee growth, we provide a generous learning budget and conference allowance, ensuring you have the resources to enhance your skills and advance your career in a high-growth payments platform environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Remote (UK/EU Time Zones)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with payments platforms. 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 projects, especially those involving Python, DBT, and Airflow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've modernised stacks and mentored others. We want to see your passion for data quality and reliability!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer - Remote (UK/EU Time Zones)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with Python, DBT, and Airflow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 high-growth payments platform. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled challenges in data quality and reliability. We love seeing candidates who can think critically and innovate, especially when it comes to scaling processes with Spark.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our team at StudySmarter!
How to prepare for a job interview at FullRemoteTalent
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, DBT, and Airflow. Brush up on your knowledge of Spark as well, since you'll be discussing how to scale batch and streaming processes.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your expertise in data engineering. Highlight projects where you’ve owned pipelines or improved data quality and reliability, as this will resonate with what the company is looking for.
✨Mentorship Matters
Since mentoring is part of the role, think about how you can convey your experience in guiding others. Be ready to discuss any instances where you’ve helped junior engineers or contributed to team learning.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their high-growth payments platform.
