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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building and maintaining a single source of truth for executive decision-making and business analytics. Key stack includes BigQuery, Google Cloud Platform, Airflow, Python and advanced SQL. Responsibilities cover developing and maintaining periodic reports, managing ETL/ELT, optimizing data processing costs, leading data initiatives and cross-functional projects, and supporting the DE team with repository and pipeline upkeep. Requires 3–4 years working with large datasets, engineering best practices (CI/CD, code review) and collaboration with finance and analytics teams.
from: 27 October 2026
to: 26 November 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:senior
working mode:hybrid
Warszawa, Wola
Requirements
Expected technologies
SQL
Airflow
Google Cloud Platform
Our requirements
- You have at least 3-4 years of experience working with large datasets as a Data Engineer, Technical Analyst, or in related roles.
- You are an expert in SQL.
- You are proficient in Python for working with large datasets.
- You have experience working with Airflow and Google Cloud Platform (including BigQuery).
- You apply engineering best practices (clean code, code review, CI/CD) and demonstrate a high degree of autonomy.
- You are effective at partnering and building relationships across finance, business, analytics, and data science teams.
- You are a proactive problem-solver.
- You have English proficiency on at least B2 level and enjoy sharing knowledge with other team members.
Your 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.
#goodtobehere means that:
- You will join a team you can count on - we work with top-class specialists who have sharing knowledge and experience 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!
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.
- 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.
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- flexible working time
- integration events
- no dress code
- leisure zone
- extra social benefits
Senior Data Analyst
I apply to:
Allegro
Warszawa, Wola
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