Senior Software Backend Data Engineer, Spendesk
Salary not provided
AWS
Kubernetes
TypeScript
GraphQL
Looker
Kafka
Node.js
Postgres
Terraform
MySQL
Jest
Segment
Snowflake
dbt
Senior and Expert level
Paris
More information about location
Company spend management platform
Be an early applicant
Company spend management platform
201-500 employees
FintechB2BPaymentsFinancial ServicesSaaS
Be an early applicant
Salary not provided
AWS
Kubernetes
TypeScript
GraphQL
Looker
Kafka
Node.js
Postgres
Terraform
MySQL
Jest
Segment
Snowflake
dbt
Senior and Expert level
Paris
More information about location
201-500 employees
FintechB2BPaymentsFinancial ServicesSaaS
Company mission
To liberate businesses and people to do their best work.
Role
Who you are
- 5+ years of backend software engineering experience in a professional setting, with production ownership of services
- Demonstrated experience shipping and operating systems in fast-paced environments, ideally including event-driven or data-intensive systems
- A track record of mentoring other engineers and improving engineering quality through reviews, standards, and collaboration
- This role is ideal if you’ve experienced backend-led architecture, data engineering, data /dev ops roles in the past
- Strong backend engineering skills with TypeScript/Node.js (or adjacent languages with willingness to work in TS)
- Experience building and consuming APIs (REST and/or GraphQL), and integrating across multiple internal systems
- Solid knowledge of reliability patterns: testing strategy, observability, incident response mindset, and operational excellence
- Experience with at least some of: Kafka, distributed systems patterns, AWS, Kubernetes, Terraform, PostgreSQL/MySQL
- Comfortable working with data as a first-class product asset (events, enrichment, reporting datasets)
- Product-minded: you enjoy turning ambiguous needs into impactful technical solutions
- Autonomous and accountable, with a strong collaboration mindset and clear communication in English
- Curious and pragmatic: you can navigate uneven system coverage (microservices + monolith) and still deliver a clean, maintainable solution
What the job involves
- Spendesk is looking for a Senior Backend Software Engineer (IC4) to join our Datapoints squad and help us build core backend services that turn data into reliable, product-grade capabilities
- This is a specific role: you won’t be building “just another API”
- You’ll work on backend systems where data is the main asset—event streams, enrichment services, reporting datasets, and customer-facing data access patterns
- You will join a cross-functional squad (Data Product Manager, Team Lead, Data Engineer, Analytics Engineers) and partner closely with applicative Squads
- You’ll also collaborate frequently with the 2nd data squad (“AI & Data Products” - home of our ML Engineers) to ensure the foundations you build can power intelligent features in the product (forecasting, classification, clustering, etc.)
- This role is 100% hands-on: you’ll design, build, test, deploy, and operate production services
- As a Senior Backend Software Engineer (IC4) in Datapoints, your first two core missions will be:
- We are building a backend service responsible for subscribing to two Spendesk event buses (one application-side, one financial/regulated services side), collecting events, and enriching/hydrating them with business context before routing/exposing them downstream
- Today, parts of this are delegated to Segment (Twilio)
- You’ll help us bring this capability in-house with strong guarantees around reliability, observability, and data quality
- We are building backend capabilities to expose customer-specific reporting covering feature usage and value realization across Spendesk
- Today, some of this is delegated to Looker (the “Powered by Looker” embeds)
- You’ll help us design and implement a scalable, secure, and maintainable approach to customer-facing reporting and data access—integrated with our data platform and product needs
- Because enrichment depends on business context, you’ll frequently integrate with applicative squads’ APIs
- Coverage will be uneven and may involve both microservices and parts of the monolith, so you’ll need to be comfortable navigating ambiguity and designing pragmatic integration patterns
- You’ll operate in a modern engineering environment with a strong data backbone:
- Backend: Node.js, TypeScript, API design (REST and/or GraphQL depending on use case), testing with Jest
- Messaging / streaming: Kafka, event-driven patterns, queues and jobs
- Storage: PostgreSQL (MySQL for monolith), plus data platform integrations when relevant
- Platform: AWS, Terraform, Kubernetes, GitHub, CI/CD (GitHub Actions), observability tooling
- Data ecosystem you will integrate with: dbt, Snowflake, Segment, BI tools (Looker today; evolving stack)
- You don’t need to be an expert in every tool, but you should be fluent in designing backend systems in such an environment and comfortable interfacing with data platforms
- You'll design and implement secure, reliable, and scalable backend services, end-to-end: technical design, development, testing, documentation, deployment, and maintainability
- Make thoughtful architecture choices for event-driven services: idempotency, ordering, retries, backpressure, schema evolution, and failure modes
- Write well-designed, testable code and raise the bar via code reviews and technical mentorship
- Produce clear specifications, evaluate operational feasibility, and manage trade-offs pragmatically to deliver impact without over-engineering
- Build the service that subscribes to our two event buses, collects events, and enriches them with business context
- Implement robust enrichment patterns (API-first integrations with squads, fallbacks when coverage is incomplete, and safe interaction with monolith components when needed)
- Ensure the service is production-grade: monitoring, alerting, logging, dashboards, runbooks, and on-call-friendly operations
- Partner with Data Engineering and Analytics Engineering to ensure events are consistent, documented, governed, and usable downstream (contracts, schemas, quality expectations)
- Design and build backend capabilities to expose customer-specific reporting and usage analytics across key Spendesk use cases
- Implement secure access patterns and tenancy guarantees (authZ/authN, least privilege, safe exposure of customer data)
- Create APIs and data access layers that scale operationally and support evolving product needs, while reducing reliance on embedded BI where appropriate
- Collaborate with the Data Product Manager and Analytics Engineers to align on definitions, semantics, and user expectations
- You'll partner closely with the AI & Data Products squad (including ML Engineers) to ensure the data foundations you build support intelligence in-product (forecasting, classification, clustering)
- Work cross-functionally with product squads, finance/regulated teams, and business stakeholders to translate ambiguous needs into concrete technical solutions
- Help establish shared standards across teams for event contracts, service interfaces, and operational reliability
Application process
- As we are an international team, please submit your application and CV in English
Our take
Spendesk is an all-in-one spend management solution created to deliver more control, visibility, and automation to today's finance teams. Top startups like Drivy, Konbini, Dataiku or Deezer are already customers of Spendesk.
With flexible payments, approvals, automated receipt capture and real-time spend insights, the company specifically allows finance teams to decentralise operational spending across the business without any loss of control or visibility. Employees benefit from streamlined expense and invoice management through the Spendesk website and app.
Expense management platforms are becoming an increasingly crowded space, with competitors like Soldo and Expensify also building similar products. Spendesk will have to keep innovating its offerings to stay relevant. But with substantial funding to its name along with a number of strategic partnerships (including Visa), the company is making sure it stays ahead of the competition.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Top investors
53% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jan 2022
$118.1m
SERIES C
Jul 2021
$118.1m
SERIES C
Total funding: $304.4m
Company benefits
- Transport reimbursement: Monthly contributions to your transport card (metro, bus or train)
- Offsites and events: Regular team events to exchange with other Spendeskers and get to know each other better
- Annual leave: 28 days per year to rest and relax
- €50 on your Spendesk card: To buy anything you need for work
- For Spendeskers with kids: Generous parental leave & a lot of flexibility for working parents
- Great offices: In the hearts of Berlin, London, Madrid, and Paris
Company HQ
L'Europe, Paris, France
Leadership
Axel Demazy
(CEO)Joined Spendesk in 2024 as CEO. Prior to this, they spent over 4 years at Jellsmack as the COO and General Manager and over 8 years at the Boston Consulting Group as a Partner.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 18 more jobs at Spendesk