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