Hadoop Jobs in Poland.
All active Hadoop roles based in Poland.
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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
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Work with a team of high-performing data engineers and analysts to identify business opportunities, design and build scalable data solutions
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Build and own data pipelines that clean, transform, and aggregate data from disparate sources
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Create and maintain optimal data pipeline architecture
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Assemble large, complex data sets that meet functional / non-functional business requirements
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Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP BigQuery and Spark
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Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
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Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
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Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
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Influence across teams and other functions, build best practices across the organization
WHO YOU ARE
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3+ Years of relevant industry or relevant academia experience working with large amounts of data
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Experience building and optimizing scalable data pipelines, architectures and data sets
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Be cognizant of emerging technology trends and find adoption opportunities to improve existing development processes
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Expert in SQL
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Experience with at least one of the programming languages: Scala, Java
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Experience with scripting language: Python, NodeJS
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Experience with GCP (BigQuery, Dataproc, Dataflow/Fusion)
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Experience with big data tools: Hadoop, Spark, Kafka, etc
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Strong analytic skills related to working with structured and unstructured datasets
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Experience supporting and working with cross-functional teams in a dynamic environment
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Familiarity with Virtualization/container abstractions and orchestration (Kubernetes, Docker, etc.)
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Familiarity with Visualization software: Tableau
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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.
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Senior Software Engineer
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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
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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 HouseCAPCO POLAND
*We are looking for Poland based candidate. Hybrid work. Warsaw is preferred.
• Trailblazers in banking, payments, capital markets, wealth, and asset management
• Champions of an agile, nimble, and innovative work environment
• Dedicated to building a team of top-notch professionals who share our drive and vision
THINGS YOU WILL DO
Platform Engineering for ML
- Design, build, and improve MLOps platform components that support the full model lifecycle (development à validation à deployment à monitoring).
- Create reusable templates and standardized pipelines to reduce time-to-production and improve consistency across teams.
Model deployment & release engineering
- Implement robust deployment patterns for credit risk models (primarily batch; other patterns as required).
- Build & maintain CI/CD pipelines using Jenkins and GitHub, with appropriate quality gates and traceability.
- Automate environment configuration and repeatability using Ansible.
Monitoring, observability & operational readiness
- Implement model and pipeline monitoring covering operational health, data quality signals, and model performance/drift indicators.
- Establish dashboards, alerting, and runbooks; partner with stakeholders to ensure alerts are actionable and aligned to business impact.
- Drive continuous improvement through post-release reviews and reliability enhancements (no on-call requirement).
Collaboration & stakeholder management
- Work closely with credit risk modellers to productionise models built with tools such as TensorFlow, MLFlow, and similar.
- Translate modelling needs into scalable engineering solutions, balancing pace with control expectations.
- Mentor junior team members (nice-to-have) and contribute to shared engineering standards and documentation.
SKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE
- 5+ years’ experience across MLOps/DevOps/Platform Engineering, with a track record of delivering production-grade ML or data solutions.
- Strong experience building CI/CD and automation using Jenkins and GitHub.
- Strong experience with Airflow (Bash), Bash itself, and Groovy for pipeline automation.
- Hands-on configuration automation using Ansible.
- Strong coding/scripting capability in Python (including PySpark), plus working knowledge of Spark.
- Experience with ML tooling such as MLFlow, TensorFlow, and similar, including model packaging and deployment considerations.
- Proven ability to implement observability (metrics/logs/dashboards/alerting), with tooling flexibility (e.g., Grafana, Splunk, or similar).
- Comfortable working in hybrid environments; experience with Hadoop and an ability to integrate with cloud services (preference for GCP).
Nice to have:
- Exposure to GCP services, especially Vertex AI and BigQuery.
- Experience with secrets management (tooling flexible).
- Familiarity with Model Risk Management, SDLC controls, and data lineage concepts in regulated environments.
- Prior experience mentoring junior engineers and helping teams adopt standard patterns.
ONLINE RECRUITMENT PROCESS STEPS
- Screening call with the Recruiter
- Capco Hiring Manager Interview
- Client’s interview
- Feedback/Offer
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.
Ready to apply?
Apply to CapcoSenior Data Engineer
VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games.
We have an exciting opportunity to join our Technology team in Poland, and we’re currently looking for a Senior Data Engineer to be a part of the team.
The Senior Data Engineer will play a key leadership role within our product teams, ensuring the delivery of trusted, high-impact data products. This person will guide the team in planning, building, shipping and maintaining solutions that truly serve our customers and stakeholders. The role combines technical leadership, hands-on project delivery and coaching, with full responsibility for the quality, usability, governance and overall success of our data products.
Key responsibilities will include:
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Lead engineering teams in designing, building and delivering trusted, high-impact data products.
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Provide technical leadership through hands-on work, coaching and guiding others across data engineering best practices.
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Develop, operate and optimise robust data pipelines and systems that ingest, cleanse, transform and structure diverse datasets.
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Drive design discussions and architecture sessions, facilitating consensus on the most effective and scalable solutions.
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Ensure coding, infrastructure and operational standards are met, and champion Continuous Delivery and Secure SDLC practices.
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Collaborate with product teams to define and evolve data product standards, governance and quality guidelines.
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Identify opportunities to improve data flows, pipelines and data products, ensuring performance, reliability and operational readiness.
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Maintain clear, up-to-date technical documentation to support system continuity and knowledge sharing across teams.
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Mentor and develop engineers, contribute to knowledge sharing, and support growth of the organisation through hiring and community engagement.
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Advocate for a data-driven culture, helping teams make informed decisions and continually improve how data is leveraged across the business.
What you will bring to the role:
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Degree in Computer Science or 5+ years of equivalent practical experience.
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Proficient in SQL and Python.
- Experience with Snowflake.
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Hands-on experience with relational and NoSQL databases (e.g., Postgres, DynamoDB).
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Skilled in building and operating ETL/ELT pipelines and working with semi-structured data.
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Proficient in cloud-native DataOps practices (IaC, CI/CD, Git).
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Experience with AWS data services such as EMR, RDS, Redshift, Kinesis, Glue.
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Experience with data modelling and warehousing (Dimensional, Data Vault 2.0) will be an advantage.
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Exposure to large-scale data processing and streaming technologies (e.g., Hadoop, Kafka, Kinesis, Flink, Spark Streaming).
- AWS Associate-level certifications are desirable.
About VGW
VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games.
With high-quality, acclaimed brands including Chumba Casino, Global Poker and LuckyLand Slots, we entertain and delight over one million players in North America.
As pioneers in sweepstakes promotions for online social games, we also offer our players the opportunity to redeem incredible prizes.
At VGW, one of our core values is "our players come first". This means always striving to deliver a safe, responsible and positive player experience.
Why VGW?
At VGW, we’re more than just a team. We’re a diverse and inclusive group of individuals, each playing a vital role in our success.
Our core values are clear and strong; we win together, do what’s right, put our players first and are powered by passion.
We believe in our people and are committed to creating an environment where everyone feels welcome, inspired, and supported. We recognise that life is more than just work - that’s why we’re all about flexibility so you can strike a healthy balance between your personal life and career. We’re also here to champion your growth in your current role and future aspirations, providing opportunities for learning and career advancement. And to top it off, we back this all up with competitive compensation, perks and benefits.
But it’s not all business. We inject fun into the workplace, celebrate together and create lasting memories, from a mix of in-person and online events, to social gatherings and much more.
It’s our combined skills, ideas and visions that drive us forward. Join us on this exciting journey, and together, we’ll achieve remarkable things.
If you want to join a team that does things differently, apply today - we look forward to seeing what you can bring to our team.
Find out more at www.vgw.co
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Ready to apply?
Apply to VGW