Data Engineer III

Box; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Office presence 3 days per week

Job summary

Box Poland is hiring a Data Platform Engineer to help expand our data platform capabilities. You will design, build, and optimize scalable data pipelines leveraging GCP BigQuery, Spark, and related technologies.

You will work with data engineers, analysts, and data scientists to deliver reliable data delivery, cultivate data-driven insights, and enable cross-functional teams with robust data tooling. Hybrid work arrangement preferred in Poland, with a strong emphasis on collaboration and

Qualifications

• 3+ years of experience working with large data sets and data platforms.
• Strong SQL and data manipulation skills.
• Experience building scalable data pipelines and data models.
• Proficiency with Python or NodeJS for data tooling.
• Hands-on with Google Cloud Platform components (BigQuery, Dataflow, Dataproc).
• Familiarity with big data tools (Hadoop, Spark, Kafka).
• Experience with visualization (Tableau) and frontend data apps (React).
• Knowledge of containerization and orchestration (Kubernetes or Docker).
• Nice-to-have: Scala or Java familiarity.

Responsibilities

• Collaborate with data engineers and analysts to design scalable data pipelines.
• Build and optimize data pipelines for cleansing, transforming, and aggregating data.
• Define and implement data architecture for reliable data delivery across projects.
• Create data tooling to accelerate analytics and data science workflows.
• Ensure data quality, governance, and security across pipelines.
• Partner with product, analytics, and design teams to deliver insights.

Skills

SQL

Python

Scala

Java

React

Tableau

Kubernetes

Docker

BigQuery

Spark

Hadoop

Kafka

Tools

GCP BigQuery

Dataproc

Dataflow

Spark

Hadoop

Kafka

Tableau

React

Kubernetes

Docker

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.

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.

WHY BOX NEEDS YOU

Data Engineering initiative inside box is expanding and this role will help build the data platform engineering features and capabilities of the cloud cost management platform.

In this role you will be working alongside our team building data pipelines, support our product and analytics team members, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

What You’ll Do

• Work with a team of high-performing data engineers and analysts to identify business opportunities, design and build scalable data solutions
• Build and own data pipelines that clean, transform, and aggregate data from disparate sources
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP BigQuery and Spark
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Influence across teams and other functions, build best practices across the organization

Who You Are

• 3+ Years of relevant industry or relevant academia experience working with large amounts of data

• Experience building and optimizing scalable data pipelines, architectures and data sets
• Be cognizant of emerging technology trends and find adoption opportunities to improve existing development processes
• Expert in SQL
• Experience with scripting language: Python or NodeJS
• Experience with GCP (BigQuery, Dataproc, Dataflow/Fusion)
• Experience with big data tools like: Hadoop, Spark, Kafka, etc
• Strong analytic skills related to working with structured and unstructured datasets
• Experience supporting and working with cross-functional teams in a dynamic environment
• Familiarity with Virtualization/container abstractions and orchestration (Kubernetes or Docker, etc.)
• Familiarity with Visualization software: Tableau
• Familiarity with frontend web framework: React
• Preferred skills
  • Experience with at least one of the programming languages: Scala, Java

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.