Overview
Curve was founded with a rebellious spirit and a lofty vision to simplify finances and help you focus on what matters most. We provide a ground‑breaking product that gives you bright insights, control of all your money in one beautiful place, and the autonomy to masterfully develop expertise with a visionary leadership team.
Key Accountabilities
* Managing and administering our Data Warehouse to guarantee continuous and high availability of the data.
* Working with GCP (Cloud Storage, BigQuery, Composer, Dataproc, Dataflow), Confluent for Kafka and Snowplow.
* Collaborating with the extended team to translate their needs into data products, working 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 & QA engineers to ensure that data events are well‑designed and correctly integrated to data pipeline services.
* Helping implement a data‑driven mindset in the company.
Skills & Experience
* At least 3+ years’ experience as a data engineer, especially using real‑time & batch data in a production environment with streaming technologies such as Kafka/PubSub/Kinesis.
* Understanding of Data Warehousing principles (including indexing, query graphs, basic administration, relational models, etc).
* Proven track record with a programming language – Python, Go and SQL, specifically in connection with Airflow and DBT.
* Experience designing and building production systems on GCP and/or AWS infrastructure.
* Experience working within Event‑Driven Architectures.
* Experience deploying and maintaining both batch and real‑time machine learning models.
* Experience using distributed systems at scale in a production environment using Spark/Beam.
* Strong understanding of data quality principles.
* A record of learning new technologies and tools.
* Experience with database technologies – best practice, performance optimisation, fault finding.
Nice to haves
* Understanding or experience of developing Machine Learning solutions.
* Experience with Terraform/K8s.
* Mentored / supported team members.
* Understanding distributed systems and architecture for scale.
* Understanding Security and InfoSec pain points in Data engineering.
* Fintech / Finance / Payments / Retail Banking experience.
Benefits
* 25 days plus bank holidays.
* Bonus days off for Learning & Development, Mental Wellbeing, Birthday, Moving House & Christmas.
* Working abroad policy (up to 60 calendar days per year).
* Bupa Health Insurance (YuLife).
* Life insurance powered by AIG (5× Annual Salary).
* Pension Scheme powered by “People’s Pension” (4% Matched).
* EAP (Mental health & wellbeing support, Life coach, Career coach).
* 24/7 GP access (Smart Health via YuLife).
* Annual subscriptions to Meditopia & FIIT for your mind and body (via YuLife).
* Discounted shopping vouchers (via YuLife).
* Enhanced parental leave.
* Ride to work scheme & Season ticket loan.
* Electric car scheme.
* Six nights of Night Nanny for new parents.
* Free Curve Metal subscription for you and your +1.
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