Architect leading initiatives in data platform engineering at F5, solving challenges in unstructured data and enhancing governance frameworks.
About the role
- Big Data Engineer building scalable data ingestion platforms at Allegro. Work with advanced data science and AI applications in a dynamic and collaborative environment.
Responsibilities
- Build a highly scalable and fault-tolerant data ingestion for millions of Allegro customers
- Process 5 billion clickstream events every day from all Allegro sites and mobile applications
- Engage in projects based on practical applications of data science and AI
- Collaborate within a team of experienced engineers organized into various specialized teams
Requirements
- Programming in languages such as Scala or Java, Python
- Strong understanding of distributed systems, data storage, and processing frameworks like dbt, Spark or Apache Beam
- Knowledge of GCP (especially Dataflow and Composer) or other public cloud environments like Azure or AWS
- Use good practices such as clean code, code review, TDD, CI/CD
- Navigate efficiently within Unix/Linux systems
- Positive attitude and team-working skills
- Eager for personal development and keeping knowledge up to date
- English at B2 level
Benefits
- Flexible working hours in an office first model
- Annual bonus depending on your annual assessment and the company's results
- Well-located offices with fully equipped kitchens and bicycle parking facilities
- Excellent working tools including height-adjustable desks and interactive conference rooms
- A wide selection of varied benefits in a cafeteria plan
- English classes paid for related to the specific nature of your job
- Macbook Pro / Air or Dell with Windows depending on preference
- High degree of autonomy in terms of organizing your team’s work
- Team tourism, training budget, and an internal educational platform
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