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Senior Data Engineer
Colombia
For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working on a worldwide ambition.
Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high-quality way of working that inspires all we do.
About the Role
We’re looking for a highly capable AWS Data Engineer to join our growing Data & AI team. You’ll be designing and building robust, scalable data solutions leveraging the AWS cloud
ecosystem—focusing on real-time streaming, event-driven architecture, and microservices. If you thrive in a collaborative environment, have a passion for automation and quality, and believe in clean, testable code, we want to hear from you.
What You’ll Do
Cloud-Native Data Engineering on AWS
Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high-quality way of working that inspires all we do.
About the Role
We’re looking for a highly capable AWS Data Engineer to join our growing Data & AI team. You’ll be designing and building robust, scalable data solutions leveraging the AWS cloud
ecosystem—focusing on real-time streaming, event-driven architecture, and microservices. If you thrive in a collaborative environment, have a passion for automation and quality, and believe in clean, testable code, we want to hear from you.
What You’ll Do
Cloud-Native Data Engineering on AWS
- Design and implement data pipelines using AWS services like Lambda, Kinesis, EventBridge, and DynamoDB.
- Build scalable APIs and microservices using Python 3.6+, FastAPI, GraphQL, and Pydantic.
- Work with infrastructure-as-code using AWS CDK to provision cloud resources securely and reproducibly.
- Monitor and troubleshoot cloud-native data applications using CloudWatch and related observability tools.
Engineering Practices & Collaboration
- Apply best practices of SDLC, including Test-Driven Development (TDD), Continuous Integration (CI), and Continuous Delivery (CD).
- Collaborate across teams using GitLab for version control, pipeline automation, and issue tracking.
- Participate in design reviews, peer code reviews, and mentor junior engineers.
- Document architecture decisions, API contracts, and operational procedures.
Streaming, Eventing, and Real-Time Processing
- Develop and support real-time streaming solutions using AWS Kinesis and EventBridge.
- Implement and manage event-driven data flows and microservices patterns.
- Integrate streaming data with downstream analytics or storage systems (e.g., S3,
- DynamoDB)
What You Bring
- 5+ years of professional experience in Python (v3.6+), including familiarity with Pytes or similar frameworks.
- Deep understanding of core AWS services: Lambda, S3, DynamoDB, EventBridge Kinesis, CloudWatch, and CDK.
- Proven experience designing APIs/microservices with FastAPI, GraphQL, and Pydantic.
- Strong knowledge of GitLab workflows and CI/CD practices.
- Solid grasp of data engineering principles, SDLC, and test-driven development.
- Experience with real-time data and event-driven architecture.
- Availability to work thru EST timezone
Nice to have:
- Knowledge of additional Python tools and libraries for data (e.g., Pandas, boto3)
- Experience with containerization (Docker) or serverless-first design patterns
- Exposure to schema evolution, data contracts, or metadata management
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