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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on developing a Business Analytics platform delivering consistent and trusted data models. Key technologies include SQL, dbt, Python, Prefect, BigQuery. Responsibilities involve building and documenting layered data models, managing metrics, enforcing team standards, expanding data testing and observability, and collaborating with Data Science and Data Engineering teams. Compensation includes base salary and equity (RSUs).
from: 22 July 2026
to: 21 August 2026
16 500 - 19 000 złgross/ mth.contract of employment (full-time)
Salary details
Our compensation structure is the base salary and equity in the form of restricted stock units.
basic salary
fixed bonus (e.g., quarterly, annual)
Requirements
Expected technologies
dbt
Python
Prefect
Airflow
Dagster
Optional technologies
BigQuery
Operating system
macOS
Our requirements
- 3+ years of experience in analytics engineering, data engineering or a comparable data role, working with large amounts of data
- Expert in SQL - able to write and review complex queries with confidence
- Solid understanding of data modeling principles and hands-on experience with dbt or a comparable transformation framework
- Engineering discipline applied to analytics code: version control, code review, testing, and CI are your defaults, and you can bring a team along to work the same way
- Comfortable with Python, with experience in a workflow orchestration tool (Prefect, Airflow, Dagster)
- Experience with a cloud data warehouse; BigQuery is a plus
- Experience supporting and working with cross-functional teams in a dynamic environment
- A proactive mindset - you look for improvements before anyone asks, and you challenge the status quo when you see a better way
Optional
- Experience in enterprise security or authentication domains.
- Familiarity with zero trust models and device security posture management.
- Experience with Kubernetes and cloud platforms like GCP, AWS, or Azure.
- Experience with PHP, TypeScript and React.
- Prior experience working on internal platforms or systems that require high reliability and compliance
Your responsibilities
- Evolve our dbt project toward modular, documented and tested data models organized in clear layers, from raw sources to marts
- Shape our semantic layer from its early stages: define how metrics are modeled and governed, and drive its adoption
- Shape the data modeling standards and conventions for the Business Analytics team, and uphold them through code review, pairing, and documentation
- Partner with Data Scientists and Data Analysts to design the datasets their analyses, dashboards, and ML models are built on
- Build out our data testing practices and enforce them in CI, implement observability over our data
- Diagnose upstream data issues and drive them to resolution by partnering with Data Engineering and Enterprise Systems teams
- Build and maintain the Prefect workflows that put our data and models to work
About the project
Business Analytics at Box is growing, and with it the need for a consistent and trusted data foundation for decision-making at scale. As an Analytics Engineer you will develop and own that foundation: well-designed data models and pipelines, governed metric definitions, systematic testing and quality monitoring, and standards that enable the team to build on it consistently. You will also build workflows and automations that let our data products meet our stakeholders where they are, from Slack to Salesforce.
This is how we organize our work
This is how we work
in houseyou have influence on the choice of tools and technologiesyou have influence on the technological solutions appliedyou have influence on the productyou focus on product developmentyou focus on code maintenanceagilescrum
This is how we work on a project
- Clean Code
- code quality measures
- code review
- design patterns
- static code analysis
- event modeling
- pair programming
- architect / technical leader support
- Continuous Deployment
- Continuous Integration
- DevOps
- team-level deployment
- functional tests
- integration tests
- pen tests
- regression tests
- test automation
- testing environments
- unit tests
- manual tests
EQUAL OPPORTUNITY
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our: https://cloud.app.box.com/v/BoxPersonnelPrivacyNotice
For more details on how Box Poland protects your information, please see our: https://cloud.app.box.com/s/tyclibn73pmofpdub2x65639ykknbiwj
Development opportunities we offer
- industry-specific e-learning platforms
- intracompany training
- mentoring
- space for experimenting
- substantive support from technological leaders
- support of IT events
- technical knowledge exchange within the company
- the company supports open source projects
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- remote work opportunities
- flexible working time
- integration events
- dental care
- retirement pension plan
- corporate library
- no dress code
- video games at work
- coffee / tea
- drinks
- leisure zone
- holiday funds
- employee referral program
- charity initiatives
- family picnics
- extra leave
- lunch vouchers
Box Poland sp. z o.o.
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
This is how we work
Analytics Engineer (DBT, BigQuery)
16.5k–19k zł / mth. (CoE)
I apply to:
Box Poland sp. z o.o.
Warszawa, Wola
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