Hadoop Jobs in Warsaw.
All active Hadoop roles based in Warsaw.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
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 at least one of the programming languages: Scala, Java
-
Experience with scripting language: Python, NodeJS
-
Experience with GCP (BigQuery, Dataproc, Dataflow/Fusion)
-
Experience with big data tools: 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, Docker, etc.)
-
Familiarity with Visualization software: Tableau
-
Familiarity with frontend web framework: React
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. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
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.
#LI-Hybrid
#LI-KS2
Ready to apply?
Apply to Box
Senior Software Engineer
Share this job
Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
You Will:
We're looking for a Senior Software Engineer to help us design, build, and optimize high-performance backend systems that power real-time bidding (RTB) and machine learning at internet scale. You’ll cooperate on software that handles billions of daily transactions with strict latency and reliability constraints - all in a distributed, low-latency environment.
Desired Experience:
- Expertise in designing and implementing complex IT systems.
- Ability to develop user-friendly, versatile tools.
- Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
- Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
- Deep understanding of algorithms and data structures.
- Initiative and creativity to improve existing solutions.
- Ability to cooperate effectively both within and across teams.
Additional Advantages:
- Previous experience in the field of Machine Learning is not required, but would be an asset.
- Solid foundation in mathematics.
- Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
- Proven experience with distributed systems.
- Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
In Return, We Offer:
- A highly competitive salary.
- The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
- Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
- An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
- The ability to see the immediate impact of your cooperate on the company's business outcomes.
- The possibility of publishing your results.
- Cooperation based on B2B contract.
Daily Responsibilities:
- Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
- Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
- Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
- Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
Ready to apply?
Apply to RTB HouseMachine Learning Engineer
Share this job
Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
Desired Experience:
- Expertise in designing and implementing complex IT systems.
- Ability to develop user-friendly, versatile tools.
- Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
- Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
- Deep understanding of algorithms and data structures.
- Initiative and creativity to improve existing solutions.
- Ability to work effectively both within and across teams.
Additional Advantages:
- Previous experience in the field of Machine Learning is not required, but would be an asset.
- Solid foundation in mathematics.
- Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
- Proven experience with distributed systems.
- Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
We Offer:
- The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
- Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw.
- Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
- An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
- The ability to see the immediate impact of your cooperate on the company's business outcomes.
- The possibility of publishing your results.
- Cooperation based on B2B contract or Contract of Mandate
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
Daily Responsibilities:
- Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
- Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
- Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
- Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
Ready to apply?
Apply to RTB House