ðµð± Data Engineer
ðµð± Data Engineer
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Job Description
Were 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. Were looking for a Data Engineer who will do the same!
Sounds interesting Keep on reading!
Whats in it for you:
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 ownershipif 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 and Portuguese classes and Hedepy - a portal for mental health and development
How you will spend your time:
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
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
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
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
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
Who you are:
- 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
Its nice if you have:
Experience in Java
How does the recruitment process look like:
1. A 30-minute phone interview with the People and Culture Partner - Milena Micor where we aim to get to know you a little better!
2. A technical online interview with the Data Team Lead - Krystian Andruszek and another panelist.
3. 30-minute conversation with our CTO Maciej Mendrela to align on vision culture and expectations.
4. Decision regarding the offer and welcome on board!
After each stage you will always receive feedback regarding your candidacy.
Employment Type
Full Time
