Senior Python Engineer (Data Product Team)
ManychatAmsterdam, Netherlands Posted 9 March 2026
Tech Stack
Job Description
WHO WE ARE 🌍
We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.
With a diverse team of 350+ people across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide.
AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.
WHO WE'RE LOOKING FOR 🌟
We’re hiring a Senior Python Engineer to join our Data Product Team and help power the analytics behind Manychat’s growth.
You’ll work on a high-load, near real-time platform that transforms large volumes of platform data into personalized insights seen by millions of users. The features you build will directly impact activation, retention, and revenue.
As part of a small, high-impact team, you'll own the data platform end to end, including data warehouse and ManyChat platform integrations, high-load APIs, and data aggregation pipelines. You’ll help scale performance, evolve our architecture, and influence Python engineering standards across the company.
If you care about building scalable systems, working close to the product, and seeing measurable business impact from your code, this role is for you.
WHAT YOU'LL DO 🚀
Build and maintain data platform that power Manychat’s analytics and insights features
Design and implement async APIs using Python and FastAPI
Develop and optimize ETL flows that transfer data from DWH (Snowflake) into PostgreSQL for fast and reliable access
Design caching strategies using Redis to balance performance and data freshness
Improve system reliability, observability, and performance under high load
Collaborate closely with product teams across the entire product organization, partnering with all major product domains to deliver data and insights that power key user experiences
Contribute to architectural decisions as the platform evolves toward more event-driven patterns
Own features end to end from data modeling and API design to deployment and monitoring
Help establish engineering best practices for Python services across Manychat
TO SHINE IN THIS ROLE 💥
You’ll need:
5+ years of software engineering experience, including 3+ years of deep, hands-on Python expertise. Strong background in designing and building scalable, high-load, production-grade systems with extensive use of asynchronous programming
Hands-on experience designing and building REST APIs with FastAPI or a similar async framework
Strong knowledge of relational databases and SQL, preferably PostgreSQL, including query optimization and performance tuning
Experience working with caching (Redis/Valkey or similar), with a solid understanding of cache invalidation strategies
Proven ownership of services end to end, including CI/CD pipelines, production deployments, monitoring, and ongoing performance improvements
Strong understanding of system design and scalable architecture principles, with the ability to reason about reliability, consistency, and data freshness
Experience collaborating cross-functionally with product and engineering teams and delivering user-facing product features in fast-paced environments
Clear communication skills and the ability to explain technical tradeoffs while maintaining a high bar for code quality, testing, and maintainability
It would be great if you have:
Experience building data platforms or analytics products
Hands-on experience with Snowflake, ClickHouse, or other OLAP dbs
Familiarity with event-driven architecture patterns
Experience with Kubernetes, Docker, Helm, Terraform, and AWS
Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
Exposure to AI or machine learning driven product features
Interest in growing into a Technical Lead role as the t ... (truncated, view full listing at source)
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