Analytics Engineer

Box; Warszawa; On-site; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Office presence 3 days/week

Diversity & inclusion culture

Job summary

Box is seeking an Analytics Engineer to develop a trusted data foundation, craft modular data models, and govern metrics. You will collaborate with Data Scientists and Analysts to design datasets for analyses, dashboards, and ML models, while advancing testing, observability, and CI practices.

You will evolve our dbt project, shape the semantic layer, and enforce data standards, partnering with Data Engineers and Enterprise Systems to resolve upstream data issues.

Qualifications

• 3+ years in analytics engineering or data engineering
• Strong SQL and data modeling fundamentals
• Experience with dbt or comparable transformation framework
• Engineering discipline: version control, code review, testing, CI
• Proficient in Python and data workflows (Prefect, Airflow, Dagster)
• Experience with a cloud data warehouse (BigQuery is a plus)
• Collaborative in cross-functional teams
• Proactive mindset to improve processes

Responsibilities

• Evolve dbt project toward modular, documented data models
• Define and govern semantic metrics and adoption
• Uphold data modeling standards through reviews and documentation
• Collaborate with Data Scientists and Analysts on datasets for analyses and dashboards
• Build and enforce data testing practices in CI
• Diagnose upstream data issues and drive resolution with Data Engineering
• Build and maintain Prefect workflows for data and models

Skills

SQL

Python

dbt

Data modeling

CI/CD

Git

Prefect

Airflow

Dagster

BigQuery

Cross-functional teamwork

Proactive mindset

Tools

dbt

Prefect

Airflow

Dagster

BigQuery

Job description

WHAT IS BOX?

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.

WHAT IS BOX?

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.

WHY BOX NEEDS YOU

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.

What You'll Do

• 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

Who You Are

• 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

Benefits

Check out the overview of Life at Box which include general perks and benefits.

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. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high‑performing workforce that reflects the world we live in.

EQUAL OPPORTUNITY

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 Personnel Privacy Notice.

For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.