About the project

• We're a hard-working, fun-loving, get-things-done type of team dedicated to providing unique marketing automation solutions for clients. We understand the challenges of eCommerce and the importance of seamless customer service and satisfaction. We roll our sleeves up, act fast, and learn together. We're looking for a Data Engineer who will do the same! 🚀

Your responsibilities

• 1. Backend System Development
• - Design, build, and maintain robust Python-based services and microservices
• - Develop and optimize RESTful APIs and background services supporting core business logic and integrations
• - Ensure code quality, reusability, and scalability through modular design and adherence to best practices
• 2. Cloud-Native Application Engineering
• - Develop serverless and containerized applications using AWS Lambda, ECS, and other cloud-native tools
• - Leverage AWS services (S3, RDS, DynamoDB, Step Functions, etc.) to support backend operations and workflows
• - Collaborate with DevOps to provision, deploy, and monitor cloud infrastructure
• 3. Automation and Task Orchestration
• - Automate recurring tasks, background jobs, and workflows using Python scripts and AWS orchestration tools
• - Build and maintain task schedulers and asynchronous workers for time-sensitive operations
• - Implement monitoring, logging, and alerting systems for observability and proactive issue resolution
• 4. Data Access and Integration
• - Build data access layers and connectors for interfacing with relational and NoSQL databases
• - Develop data integration scripts or services to move and sync data between systems when needed
• - Write efficient, production-grade SQL and Python code to support internal tools and services
• 5. Performance and Reliability
• - Optimize application performance, API response times, and system throughput
• - Implement retries, fallbacks, and circuit breakers to increase fault tolerance
• - Continuously assess and improve system design for scalability and maintainability
• 6. Contribute to Innovation and Excellence
• - Stay informed on modern Python practices, libraries, and AWS developments
• - Take initiative in proposing improvements and new ideas to enhance our platform

Our requirements

• 3+ years of experience as a Data Engineer.
• Hands-on experience with schema design, complex SQL/query optimization, and running data pipelines in production.
• Experienced with AWS services (Redshift, Aurora, DynamoDB, S3, Glue, Lambda, Step Functions, etc.) to build data pipelines and scalable cloud-native applications.
• dbt experience (or strong SQL/ELT background and eagerness to learn dbt quickly).
• Familiarity with data orchestration tools (e.g., Airflow, Step Functions) — scheduling, monitoring, and troubleshooting data pipelines.
• Ability to build and maintain RESTful APIs/microservices in Python (e.g., FastAPI/Flask) and understand basic backend architecture.

Optional

• Experience in Java is a plus.

Technologies we use

What we offer

• Be part of a small, fast-paced team that values innovation, efficiency, and a positive work culture. We thrive on challenges, embrace change, and keep things moving

• We value initiative and ownership—if something makes sense, we act on it quickly and take full responsibility for delivering it

• Direct responsibility for projects, regular 1:1s with your leader with a blameless postmortems, code reviews

• B2B contract (15-20k) & covering all the costs of accounting services

• Hybrid or remote work or a modern, well-equipped office - whatever you prefer!

• 26 paid days off so you can relax properly!

• Benefits - MultiSport card, LuxMed medical package, group accident insurance, English classes, and Hedepy - a portal for mental health and development