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Senior Data Platform Engineer

Swile

Swile is also hiring for this role in Paris, France.

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What platform roles keep asking for: Observability (35%), Python (34%), AWS (30%), Kubernetes (28%), CI/CD (26%), System design (25%), GCP (17%), Java (17%) — counted across their open postings here.

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Swile has 4 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Questions you are likely to be asked

  1. Why do you want to join Swile?
  2. What is your experience with Airflow? Tell me one thing you learned the hard way.
  3. How do you keep secrets and access safe in your infrastructure?
  4. Walk me through how code gets from a commit to production where you work.
  5. Tell me about an outage you handled. What did you learn from it?

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At Swile, we believe that good products can help reduce friction in daily professional life and boost employee satisfaction. Today, we provide innovative solutions in various areas such as Fintech, Travel, HR, and Employee Benefits to more than 5.5 million users in 85,000 companies in France and Brazil. As a Senior Data Platform Engineer , you will join the Data Platform team. We are an enablement team: we build the tools, standards and foundations that let every engineering team at Swile own its data autonomously. You will work at the crossroads of data, software engineering and infrastructure, in a senior team where everyone has a direct impact. As a Senior Data Platform Engineer, your mission will be to: Design and improve the tools and platforms that empower engineering teams to build and run their own data pipelines Ship AI tooling (Skills, MCP) as part of the platform, to help teams design, build and run their data products Contribute to our batch processing (Airflow, dbt) and event-driven architecture (Kafka) Define, document and promote standards and best practices Help teams adopt our tools and practices, and grow their skills Evangelize the platform vision and build relays across teams, in France and Brazil ✨It will be a perfect match if you: Have solid experience in data engineering or platform engineering, with a good software engineering culture Have strong expertise in one area (data, infrastructure, software, EDA/streaming, developer tooling) and are curious to learn the others Have worked with some of these: Python, Ruby, Airflow, Kafka, Snowflake, dbt, Terraform Are autonomous, communicate clearly, and enjoy collaborating with and supporting other teams Are curious about new tools and practices, including AI (no expertise required) Speak good English (we work daily with our teams in Brazil) You are a future responsible swiler: you share our commitment to the environment, diversity, fairness and inclusion and are prepared to work every day to improve individual and collective performance. 📓 One thing worth to be mentioned We welcome people from entrepreneurial backgrounds as well as from established organizations. A platform, infrastructure or software background is just as relevant as a pure data engineering one. At Swile, we believe that delivering impactful products requires engineers to understand the needs of users and clients as well as the code itself. ⚒️ Our tech stack Ruby/Rails, Typescript/Node.js Terraform/Terragrunt, Python, SQL, dbt AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake 💡What’s in it for you ? An opportunity to integrate a dynamic team of talented engineers. A broad role with direct impact on how many teams work at Swile. Competitive salary and benefits package. Professional development and career growth opportunities. Find more English Speaking Jobs in France on Arbeitnow

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Listed on arbeitnow · posted 2026-10-10. ApplySarthi collects openings and links to application pages; the role is advertised by Swile, not by us.