Senior Scala Engineer

Allegro Ltd.; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

RSU program

Annual bonus

Modern offices & equipment

English classes

Training budget & hackathons

Job summary

Allegro Ltd. is seeking Senior Scala Engineers to design and scale data ingestion for millions of Allegro users. The role sits in Data & AI, a group of 150+ engineers working on Big Data, ML models, search, and recommendations.

The platform blends on-premise systems with Google Cloud services like Spark, Kafka, Beam, BigQuery, Pub/Sub, and Dataflow. You will work across teams, implement clean code, TDD, and CI/CD practices, and contribute to a robust data processing platform on a hybrid cloud

Qualifications

• Proficient in Scala/Java with strong experience in data processing or data ingestion.
• Experience with distributed systems and modern data platforms.
• Knowledge of GCP or other public clouds (Azure/AWS).
• Practice with clean code, TDD and CI/CD.
• Comfort with Unix/Linux environments.
• Excellent English communication (B2).

Responsibilities

• Build and maintain scalable data ingestion pipelines for Allegro customers.
• Collaborate across teams to deploy fault-tolerant data processing services.
• Leverage modern cloud tools (GCP, Spark, Beam) and on-premise components as needed.

Skills

Scala

Java

Python

Distributed systems

GCP

CI/CD

Unix/Linux

English B2

Tools

Spark

Apache Beam

Dataflow

Kubernetes

Docker

GitHub Actions

dbt

Job description

As part of the Data & AI area, we implement projects based on the practical "data science" and "artificial intelligence" applications of an unprecedented scale in Poland. Data & AI is a group of over 150 experienced engineers organized into over a dozen teams with various specializations. Some of them build dedicated tools for creating and launching BigData processes or implementing ML models for the entire organization. Others work closer to the client and are responsible for the implementation of the search engine, creating recommendations, building a buyer profile or developing an experimental platform. There are also research teams in the area whose aim is to find solutions to non-trivial problems requiring the use of machine learning.

We are looking for Senior Scala Engineers who want to build a highly scalable and fault-tolerant data ingestion for millions of Allegro customers. The platform collects 5 billion clickstream events every day (up to 150k / sec) from all Allegro sites and Allegro mobile applications. This is a hybrid solution using a mix on-premise and Google Cloud Platform (GCP) services like Spark, Kafka, Beam, BigQuery, Pubsub or Dataflow.

We are looking for people, who:

• Are programming in languages such as Scala or Java, Python
• Have strong understanding of distributed systems, data storage, and processing framework like dbt, Spark or Apache Beam
• Have knowledge of GCP (especially Dataflow and Composer) or other public cloud environments like Azure or AWS
• Use good practices (clean code, code review, TDD, CI/CD)
• Navigate efficiently within Unix/Linux systems
• Possess a positive attitude and team-working skills
• Are eager for personal development and keeping their knowledge up to date
• Know English at B2 level

What we offer:

• Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
• Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units).
• Annual bonus based on your annual performance and company results.
• Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
• A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
• A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
• English classes that we pay for related to the specific nature of your job.
• A training budget, inter-team tourism ( more here ), hackathons, and an internal learning platform where you will find multiple trainings.
• An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
• Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things.
• You get to choose which technology solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!