Responsibilities
•Maintain and develop company-wide periodic reports, ensuring a "single source of truth" for executive decision-making.
•Work with large datasets to provide transformative insights that drive organizational goals and lead to tangible business results, such as implementing new features and initiatives.
•Lead data initiatives and projects, driving cross-functional collaboration and thought leadership.
•Maintain and oversee ETL/ELT processes, ensuring the optimization of cost and efficiency in data processing.
•Support the DE team by managing day-to-day updates in code repositories and data pipelines.
Requirements
•At least 3-4 years of experience working with large datasets as a Data Engineer, Technical Analyst, or in related roles.
•Expert in SQL.
•Proficient in Python for working with large datasets.
•Experience working with Airflow and Google Cloud Platform (including BigQuery).
•Apply engineering best practices (clean code, code review, CI/CD) and demonstrate a high degree of autonomy.
•Effective at partnering and building relationships across finance, business, analytics, and data science teams.
•Proactive problem-solver.
•English proficiency on at least B2 level and enjoy sharing knowledge with other team members.
Conditions
•Flexible working hours in the hybrid model (4/1) - hours can start between 7:00 a.m. and 10:00 a.m. Also 30 days of occasional remote work.
•Annual bonus based on 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 - choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
•English classes paid for, related to the specific nature of the job.
•A training budget, inter-team tourism, hackathons, and an internal learning platform with multiple trainings.
•An additional day off for volunteering, which can be used 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.
•Join a team of top-class specialists who have sharing knowledge and experience in their DNA.
•High level of autonomy in team organization, space for continuous development, and opportunity to try new things. You get to choose which technology solves the problem and are responsible for what you create.
•Full platform of tools and technologies for Developer Experience; internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions.
•Equipped with modern AI tools to automate repetitive tasks, allowing focus on developing new services and refining existing ones (also leveraging AI support).
•Create solutions used (and loved!) by friends, family and millions of customers.
•Allegro Scale: 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.
•Part of Allegro Tech: speaking at industry conferences, cooperating with tech communities, running a blog (over 10 years), recording podcasts, leading guilds, and organizing the internal Allegro Tech Meeting conference.
