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- Tasks: Own and optimise data pipelines for a high-growth payments platform.
- Company: Join a dynamic team focused on modernising data engineering practices.
- Benefits: Enjoy remote work, a learning budget, and conference allowances.
- Other info: Work remotely within UK or EU time zones with great career growth potential.
- Why this job: Make a real impact by mentoring engineers and enhancing data quality.
- Qualifications: 5+ years in data engineering with Python, DBT, and Airflow experience.
The predicted salary is between 60000 - 80000 £ per year.
Own pipelines and analytics for a high growth payments platform. You will modernize the stack and mentor engineers on data quality and reliability.
Responsibilities
- Design and maintain ELT with DBT and Airflow
- Scale batch and streaming with Spark
- Define data contracts with product and engineering
- Improve lineage, testing and observability
Requirements
- 5+ years in data engineering with Python, DBT and Airflow in production
- Experience with Spark or similar frameworks
- Great communication and documentation habits
Remote within UK or EU time zones. Learning budget and conference allowance.
Senior Data Engineer Remote EU/USA and UK Python, Spark, Airflow, DBT base • Permanent[...] employer: FullRemoteTalent
Contact Detail:
FullRemoteTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer Remote EU/USA and UK Python, Spark, Airflow, DBT base • Permanent[...]
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities.
✨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. We recommend practising common data engineering scenarios and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer Remote EU/USA and UK Python, Spark, Airflow, DBT base • Permanent[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, DBT, and Airflow. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Showcase Your Projects: Include any relevant projects that demonstrate your skills in data engineering. If you've worked on pipelines or analytics for a payments platform, we’d love to hear about it!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate great communication habits, so make sure your points are easy to understand and well-structured.
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!
How to prepare for a job interview at FullRemoteTalent
✨Know Your Tech Stack
Make sure you’re well-versed in Python, DBT, Airflow, and Spark. Brush up on your experience with these tools, as you'll likely be asked to discuss how you've used them in past projects. Be ready to share specific examples of how you've designed and maintained ELT processes.
✨Showcase Your Mentoring Skills
Since the role involves mentoring other engineers, think about times you've helped others improve their skills or understanding of data quality and reliability. Prepare anecdotes that highlight your ability to communicate complex concepts clearly and effectively.
✨Understand Data Contracts
Familiarise yourself with the concept of data contracts and be prepared to discuss how you would define them with product and engineering teams. This shows that you understand the importance of collaboration and clear communication in a data engineering context.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in scaling batch and streaming processes and how you overcame them. This will demonstrate your practical experience and ability to handle real-world issues.