Allegro is seeking an Engineering Manager to lead our Recommendation team, building the core tools that power recommendations on our marketplace. In this role, you will spend 20-50% of your time on hands-on technical work, with the remainder dedicated to developing your team and collaborating with business stakeholders.
What You'll Do
- Lead a development team of 5-7 members, ensuring accurate, scalable, and reliable delivery
- Provide technical leadership through mentoring, code reviews, and fostering high code quality
- Design and implement key systems
- Collaborate with cross-functional teams including data science, data engineering, analytics, UX, and operations
- Ensure high quality through clean code, thorough code review, TDD, and CI/CD practices
What We're Looking For
- Experience leading a team using Java, Kotlin, and/or Scala as a Tech Lead or Team Leader
- Still actively coding and eager to maintain deep technical expertise
- Strong knowledge of engineering best practices including testing, CI/CD, and scalable architecture
- Experience with high-traffic distributed systems and data engineering
- Ability to bridge technical and business perspectives effectively
- Proficiency in English at a B2+ level
Nice to Have
- Experience with Machine Learning
- Familiarity with GCP data engineering tools: BigQuery, Cloud Composer, Dataproc
Technical Stack
- Languages: Scala, Java, Kotlin, Python
- Frameworks & Tools: Spring Boot, Apache Pekko, Apache Spark
- Cloud: Google Cloud Platform
Team & Environment
You will lead our Recommendation team of 5-7 members, working closely with the Machine Learning team. We foster a culture of high performance, engineering best practices, and a great team atmosphere where you can always count on your colleagues.
Benefits & Compensation
- Contract of employment with tax-deductible costs
- Annual bonus based on assessment and company results
- Long-term discretionary incentive plan based on Allegro.eu shares
- Flexible working hours in an office-first model (4 days in office / 1 day remote)
- Well-located offices with fully equipped kitchens and bicycle parking
- Excellent working tools including height-adjustable desks and interactive conference rooms
- A wide selection of fringe benefits in a cafeteria plan (e.g., medical, sports, lunch packages, insurance, vouchers)
- Company-paid English classes
- Macbook Pro/Air or Dell laptop with necessary gadgets
- High degree of autonomy in organizing team work
- Hackathons, team tourism, training budget, and access to the internal educational platform MindUp
Work Mode
This is a hybrid role based in Warsaw, following an office-first model.
Allegro is an equal opportunity employer.
