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Big Data Engineer Jobs in Poland

EPAM is looking for Big Data Engineers in Poland.

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We are looking for a Senior Big Data Developer to join our growing Data Practice and make our team even stronger. Our projects and technologies are very diverse and cover all technologies currently on the market and represented by open-source communities. We are providing our service to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.
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We seek Lead Big Data Developers with cloud experience to join our growing Data Practice. The projects we are working on are diverse, covering all technologies and solutions currently available on the market and represented by open-source communities. We provide our service to clients in various domains: financial, health care, insurance, and many others, so as a Lead Big Data Developer, you will have a chance to develop yourself in any direction you want.
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We are seeking a Lead Data Engineer with deep expertise in Microsoft Azure Fabric–based data platforms and AI-enabled data engineering. This role blends hands-on technical leadership with architectural and team mentoring responsibilities, focusing on modern data engineering, big data processing, and AI-driven workflows in complex enterprise environments.
We are looking for a Data Engineer who will take a leading role in designing and implementing a scalable enterprise search engine - a platform that provides stakeholders with an intuitive, efficient, and reliable way to query and explore the firm’s data landscape. Our client is a leading global financial services firm providing wealth management, investment banking, and asset management services to clients worldwide. This is a hybrid role requiring presence in the client's office in Krakow 3 days a week, with flexible working hours.
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We are looking for a Senior Data Engineer with expertise in AI-enabled data platforms and PySpark. This role involves designing, building and optimizing modern data pipelines and analytics solutions, collaborating with architects, lead engineers and business stakeholders to deliver robust, scalable and AI-integrated data solutions.
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We are seeking a Senior Data Engineer with strong expertise in Azure and PySpark, skilled in designing, implementing, and maintaining robust data processing solutions. This role focuses on building scalable, production-grade data systems, ensuring reliability, and optimizing performance in distributed environments.
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We are seeking a Senior/Lead Data Software Engineer to join our team working on a scalable, ML-ready platform that enhances portfolio model development and deployment with advanced data governance and AI capabilities. You will play a key role in migrating from an IaaS Big Data platform to Azure-native Databricks, optimizing data workflows and improving data quality. Join us to contribute to innovative solutions that boost client services and regulatory compliance.
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We are seeking a highly skilled DB2 Administrator and Data Integration Engineer to oversee DB2 database administration and lead the design, development, and optimization of data integration pipelines and transformation processes for our Data Analytics Platform. The ideal candidate will bring significant expertise in DB2 administration, migrations, and data integration, with a strong focus on managing complex datasets and ensuring data quality across systems.
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Join EPAM as a Senior Java Data Engineer on an innovative engineering team developing mission-critical software systems that support the planning and development of datacenters. Our solutions streamline supply timelines and supplier relationships, empowering our client’s business in the fast-evolving technology infrastructure domain. You’ll contribute to a high-impact platform used by external customers to build next-generation applications and solutions. You’ll be part of a modern, self-governing team focused on delivering scalable, high-performance platforms for the technology infrastructure sector. The project involves direct daily communication with the client, rapid prototyping, and Proof of Concept development based on architectural designs. We value autonomy, mastery, and a focus on quality delivery with minimal meetings, allowing you to concentrate on engineering excellence. If you're ready to make an impact in a dynamic environment, we want to hear from you! This role offers a hybrid model, with 3 days per week working from the client's office in Kraków, Wrocław, or Gdańsk, Poland.
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We are seeking a Senior Python Engineer with experience in FastAPI and ideally exposure to React UI, for our client, a global leader in banking, investment banking, and financial services. The product is an ML-ready platform for rapid portfolio model development and deployment. It combines data governance, Big Data, and AI — including GenAI capabilities — to boost alpha generation, enhance client services, and ensure regulatory compliance, while improving data quality and cost efficiency. The team is currently migrating from an IaaS Big Data platform to Azure-native Databricks. This position offers a flexible hybrid work model, with 3 days per week working from the office located in Wroclaw.

Big Data engineer jobs in Poland at EPAM

A Big Data engineer is a specialist who develops technologies for working with Big Data. This may be the development of a whole software or individual elements within it. The main task of a specialist is to make each product scalable and ready for further improvements.

A Big Data engineer is responsible for creating functional, productive, and technological solutions that meet the business goals and stated requirements of the company or customer. They develop products for working with Big Data from scratch; that is, they are engaged in their planning, development, commissioning, and further support. The Big Data engineer specialty is great for working from home, as long as you have the appropriate qualities for it.

Responsibilities of a remote Big Data engineer in Poland

Each company has its own list of duties for Big Data engineer remote jobs, but most often, work from home duties include:

  1. Conducting requirements analysis
  2. Future product planning
  3. Software development for Big Data
  4. Testing at different stages of software development
  5. Detection and elimination of errors
  6. Records management
  7. Report writing
  8. Finished product support
  9. Introduction of elements that increase the functionality of the software
  10. Software scaling
  11. Implementation of updates

Like all specialties in the IT field, Big Data engineers in Poland have several levels of professionalism on which the list of responsibilities and requirements for the remote job will depend. For beginners, the requirements are minimal, but not all companies are ready to hire them online. Middles will face a long list of required skills like those above. Seniors will also need to manage a team of subordinates.

Requirements of Big Data engineer remote jobs

Big Data engineer remote jobs in Poland typically have the following requirements:

  1. Bachelor's or master's degree in computer technology or engineering
  2. Deep knowledge of databases for working with Big Data
  3. 2+ years of experience in a similar position
  4. Experience in remote work
  5. Knowledge of several databases
  6. API experience
  7. Superficial knowledge of Java
  8. Ability to work with tests
  9. Knowledge of new trends in Big Data
  10. Information analysis skills
  11. Ability to work with reports and documentation

Even if you are looking for a remote Big Data engineer job, you will have to constantly interact with both your team and the employees of other departments.

Big Data engineer remote jobs in Poland

Companies pay attention not only to the technical skills of candidates but also to their personal qualities. For example, it is important for them to know how much a specialist is ready to commit to work. A remote worker must be able to properly manage their time. In addition, the following qualities will put you at an advantage for remote work: stress resistance, attention to detail, the desire to constantly improve your knowledge, the ability to find inaccuracies in a timely manner, and the ability to simultaneously manage several projects at once.