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 Senior Data Engineer who will do the same!
Sounds interesting? Keep on reading!
What’s 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 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 (20-25k) & 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
How you will spend your time:
Leadership, Innovation & Excellence
Drive technical design discussions, lead critical implementations, and support decision-making across the team
Mentor other engineers and raise the bar for code quality and system thinking
Stay current with evolving technologies and proactively introduce improved tools, patterns, or approaches when beneficial.
Champion engineering excellence by questioning the status quo and influencing product/technical direction
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
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
Who you are:
- 5+ years of professional experience as a Data or Python Engineer
- Experienced in leading design reviews, engaging in pair programming, and documenting key decisions for long-term clarity.
- Experience in Data Engineering – including schema design, query optimization, and managing 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.
- You’re familiar with dbt or eager to work with it
- Strong background in building and maintaining RESTful APIs, microservices, and backend systems.
- Have acted as a technical/feature lead on multiple projects, owning solutions from design through production operation.
- Comfortable working closely with the Product team, aligning goals, making independent technical decisions, and challenging assumptions when needed.
It’s 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.