Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and manage a robust data platform for real-time analytics and reporting.
- Company: Curve, a revolutionary fintech company simplifying your financial life.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real-world impact with cutting-edge data technologies.
- Qualifications: Experience in data engineering, cloud platforms, and a passion for data-driven solutions.
- Other info: Be part of a visionary team with a mission to inspire financial control.
The predicted salary is between 36000 - 60000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
Curve was founded with a rebellious spirit, and a lofty vision; to truly simplify your finances, so you can focus on what matters most in life. That's why Curve puts your finances simply at your fingertips, so you can make smart choices on how to spend, send, see and save your money. We help you control your financial life, so you can go out and live the life you want to live. With Curve you can spend from all your accounts, track spend behaviour and provide insights, and security to protect you from fraud. For the first time giving you bright insights and control of all your money in one beautiful place. We're developing a ground-breaking product with our customers at the core. Our user base is growing rapidly and we have exceptional metrics. We have funding from the leading names in tech investment, and a visionary leadership team who wants everyone who joins this remarkable adventure, to have the autonomy to masterfully develop their expertise. Welcome to Curve. On a mission to help you live inspired.
We're looking for a capable Senior Data Engineer, who will be part of the data platform team. Our mission is to build a robust platform to collect data from multiple data sources, both internal and external as well as enable reverse-ETL. Using a combination of batch and real-time streaming technologies, the role will facilitate cutting-edge analytics, real-time decisioning, and robust reporting. We believe in data being at the core of the business. We hate latency, approximation and bad data quality! This role is a great opportunity for people who love data, software architecture, streaming technologies, distributed systems and who want to have a real-world impact by building production systems from scratch with a world class team.
Key Accountabilities
- Managing and administering our Data Warehouse to guarantee continuous and high availability of the data.
- You will mainly be working with GCP (Cloud Storage, BigQuery, Composer, Dataproc, Dataflow), Confluent for Kafka and Snowplow.
- Working with the extended team to understand their needs and translating them into fantastic data products, this includes working with and alongside Machine Learning researchers and data scientists on cutting edge ML models.
- Designing and building pipelines to collect data from various data sources.
- Data modelling using DBT on top of BigQuery.
- Working with backend, frontend, Devops.
Senior Data Engineer employer: Curve
Contact Detail:
Curve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving GCP, Kafka, or any real-time analytics. 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. Practice explaining complex concepts simply, as you'll need to communicate effectively with both techies and non-techies alike.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission at Curve.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your love for data shine through! Share specific examples of projects you've worked on that demonstrate your skills and enthusiasm for data engineering. We want to see how you can bring that passion to Curve!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight relevant experience with GCP, Kafka, and data modelling. We appreciate when candidates take the time to align their skills with what we're looking for at Curve.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We love clarity, so avoid jargon unless it's necessary to showcase your expertise in data engineering.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised as we review applications.
How to prepare for a job interview at Curve
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll need to demonstrate your expertise in data management and analytics. Brush up on your knowledge of GCP, Kafka, and data modelling techniques. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you improved data quality or optimised data pipelines. This will show your potential employer that you can handle the demands of the role.
✨Understand the Company’s Mission
Curve is all about simplifying finances and providing insights. Familiarise yourself with their products and think about how your skills can contribute to their mission. This will help you align your answers with their goals during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the data platform's future, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.