Senior Data Platform Engineer
Montpellier, France
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingDesign and improve platforms so engineering teams can build and run their own data pipelines
Ship AI tooling (Skills, MCP) to help teams design, build and run data products
Contribute to batch processing (Airflow, dbt) and event-driven architecture (Kafka)
Define, document and promote standards and best practices
Help teams adopt the tools and practices and grow their skills
From the employer’s posting
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
Tools in this posting
- Python
- Ruby
- SQL
- TypeScript
- AWS
- dbt
- Kafka
- Kubernetes
- PostgreSQL
- Snowflake
- Terraform
- Airflow
- Node.js
Source — Tool mentions in context
- 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
- Ruby/Rails, Typescript/Node.js - Terraform/Terragrunt, Python, SQL, dbt - AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake
⚒️ Our tech stack - Ruby/Rails, Typescript/Node.js - Terraform/Terragrunt, Python, SQL, dbt
- Terraform/Terragrunt, Python, SQL, dbt - AWS/Kubernetes, PostgreSQL, Kafka (MSK), Airflow (MWAA), Snowflake 💡What’s in it for you ?
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 9, 2026 · 22 days ago
- Recorded sightings
- 22
- Last seen by us
- Nov 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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, 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.
Employment type
Permanent
Source details
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- Pay
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- Location & working pattern
Montpellier, France
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- Work authorization
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