Lead Analytics Engineer, Curve
Banking platform consolidating cards & accounts
Be an early applicant
Banking platform consolidating cards & accounts
201-500 employees
Be an early applicant
201-500 employees
Company mission
Curve is on a mission to simplify the way people spend, send, see and save money.
Role
Who you are
- This role is ideal for individuals passionate about data transformation, data modelling, and building scalable, maintainable workflows using dbt in a cloud-based environment
- If you thrive on solving complex data challenges, care deeply about data quality, and are excited about implementing best practices in analytics engineering, this is the perfect role for you
- 5+ years of experience in data/analytics engineering, focusing on data transformation and modelling, particularly using dbt
- Expertise in ELT processes, transforming raw data into well-structured, high-quality data models in a data warehouse (e.g., BigQuery)
- Strong proficiency with SQL for data modelling and performance optimisation
- Experience applying software engineering best practices such as version control (Git), CI/CD, and modular code design to analytics workflows
- Experience building dashboards and reports to track business-critical metrics, with a focus on driving business insights
- Ability to collaborate effectively with cross-functional teams and communicate technical solutions to non-technical stakeholders
- Familiarity with orchestration tools like Airflow or Composer and cloud infrastructure, particularly GCP (BigQuery)
- Strong attention to detail with a focus on data accuracy, quality, and process improvement
- Strong understanding of data quality principles
- A record of learning new technologies and tools
- You are experienced with database technologies. (Best Practice, Performance Optimisation, Fault Finding)
Desirable
- Experience with real-time and streaming data pipelines
- Familiarity with infrastructure as code (Terraform) or container orchestration (Kubernetes)
- Experience mentoring or supporting junior team members in analytics engineering
- Fintech, Finance, Payments, or Retail Banking industry experience
What the job involves
- We’re looking for a capable Lead Analytics Engineer to join our central data team
- Our mission is to build a robust, scalable platform that transforms raw data into clean, modelled datasets using dbt, empowering stakeholders across the company with reliable, accessible data
- Your focus will be on developing and optimising data models that enable efficient and impactful analytics and reporting
- You will work closely with both data engineers and analysts, bridging the gap between raw data collection and actionable insights
Salary benchmarks
Our take
Keeping track of spending across multiple credit and debit cards can be a difficult task. Curve lets customers consolidate all of their bank cards into a single card and app, to make it easier to manage spending and access other benefits.
Curve is following in the footsteps of several European neobanks, including N26, Monzo and Revolut, with ambitious expansion plans for the US. Americans have seven to eight cards on average and they typically love rewards, making the market attractive for Curve.
The company has a track record of responding quickly to consumer wants. For example, it has launched cryptocurrency rewards programs to cater to the ever-growing ‘crypto-curious market', as well as partnering with both Berg Watches and Fidesmo to meet expanding demand for wearable payments. In 2022, Credit Suisse backed a $1 billion credit facility for the company, to enable it to scale its lending business.
Steph
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
33% female employees
-24% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2023
$73.3m
SERIES C
May 2021
$11.5m
LATE VC
Total funding: $248.9m
Company benefits
- 20 Days Vacation (we actually want you to take this)
- 10 Paid Holidays
- Work from home opportunities
- Competitive salary with employee share options package
- Free Curve Metal subscription for you and +1
- Generous yearly Learning and Development budget
- 10 days per year for training and conferences
- Unlimited book policy
- Life insurance
- Health care cash plan
- Life coaching
- EAP services
- 24/7 GP access
- Annual subscriptions to Calm & FIIT for your mind and body
- Discounted gym membership
- Ride to work scheme
- Nutritionist access
- Discounted shopping vouchers
- Season ticket loan
- Bonus days off for your birthday, moving house and Christmas
- Six nights of Night Nanny for new parents
Company values
- Customer obsession - Start with the customer and work backwards to create meaningful experiences
- Communicate and collaborate - This helps us unify and align so we can move quickly and be empowered
- Challenge everything - Yourself, your colleagues and the status quo. Commit and progress forward together
- Build. Measure. Learn - Strive to learn and find the 'why' to measure our impact and constantly improve
- Automate to accelerate - Eliminate redundant steps to get things done and always focus on the mission
Company HQ
Paddington, London, UK
Articles
Leadership
Shachar Bialick
(CEO & Founder)Was Head of Product at Checkout.com. Founded a number of businesses in Israel, and has an MBA from INSEAD.
Share this job
View 6 more jobs at Curve