Through the power of data, we help our clients thrive in a market challenged by the pressures of digitization. Our team is growing quickly in Hungary and we invite you to join us.
Join our Data and Analytics Practice in Hungary
EPAM Start & Start+ Program - Jumpstart your career in IT!
Through our unique programs, anyone have the chance to deep dive into different areas of technology with flexible schedule, remotely and free of charge.
Step into the world of data!
Whether you are interested in data software or data analytics engineering, we’ve got you covered! With our recently launched programs, participants can enhance their knowledge on their own time.
Data Engineering Start+ Program
Data Engineering focuses on creating distributed software solutions and data pipelining processes for analysing large volumes of data and developing machine learning models.
Data Analytics Engineering Start+ Program
Data Analytics Engineering is about turning raw data into valuable business insights. It includes data collecting, storing, processing, validation, and visualization.
Our Expertise
SENIOR DATA ENGINEERS
LEAD DATA ENGINEERS
DATA SOLUTION ARCHITECTS
TECHNICAL CONSULTANTS
DATA SCIENTISTS
DELIVERY MANAGERS
ABOUT EPAM
275+
Forbes Global 2000 Customers
53,250+* Total EPAMers
* Data for Q2 2021
55++ Countries
FORTUNE
Ranked as the top IT services company on Fortune's 100 Fastest-Growing Companies List in 2019 and 2020
OPEN SOURCE
3,000+ contributors and 140,000+ commits in the public domain. Read more.
Why EPAM
- Possibility to work with start-ups and enterprise organizations.
- Gain access to a variety of projects, domains and technologies.
- Contribute to innovative and impactful projects.
- Develop new skills, find mentors and connect with global colleagues who possess deep technical expertise.
- Unlimited opportunities for career and professional growth.
- Receive opportunities for tuition, reimbursement, industry training and domain certification.
- The Hungarian practice is dynamically growing. We are actively building the data community within and outside of EPAM via organizing conferences, meetups, blogging and project showcases.
ABOUT THE HUNGARIAN DATA PRACTICE TEAM
- Our Data Practice is growing at an accelerated pace in Hungary
- We deliver unique cloud-based, distributed data solutions for problems that conventional database technologies cannot solve.
- We are committed to developing internationally recognized experts in the data domain by providing unique upskilling trainings on high-demand skillsets and a list of technologies.
- We are working on international data architecture, cloud data management, data governance projects.
- Through our long-term partnerships, we access multiple Petabyte sized clusters, some amongst the Top 25 largest data lakes in the world.
“EPAM provides extensive career development paths, alongside architecture, pre-sales, consulting and mentoring opportunities. Whether you are interested in the rapid development of a full makeover of a data architecture or a long-term product development covering all product lifecycles, including operation and maintenance, we will find the best fit project for you.”
Peter Kortvelyesi
Head of Data Practice in Hungary
“At EPAM we are working with Fortune 500 companies. We deliver the best possible solutions, we are working with modern, vendor-agnostic IT architectures. This, combined with our complex learning programs, allow unlimited professional growth for our people.”
Andor Herendi
Software Engineering Manager, Data Practice, Budapest
“What I think is special about this position is that you need to work closely together with your clients, understand their problems and put them into a system that helps them interpret the data and make a decision accordingly. It is very interesting to see how data analysis, a BI report or a dashboard may visualize a problem to our client and make it more understandable.”
Boglarka Birinyi
Lead Data Analyst, BI Solution Manager
Our Data & Analytics Practice
DATA ENGINEERING
Data engineers deal with problems that common database and data warehousing technologies would not be able to solve, be it streaming solutions, special data formats or high volume or velocity, complex data systems.
DEVOPS IN DATA
System engineers integrate new functionality into projects, automate and fine-tune the release cycle, and design and develop data platforms. In addition to working with standard cloud services and Ansible/Jenkins/Bash, data DevOps engineers also work with Hadoop, NoSQL and correspondent migrations.
DATA QUALITY
Data quality engineers check system data for compliance with business requirements, usability and satisfying established quality metrics. They also build automated processes for data quality, checking on different architecture levels and processing stages.
DATA SCIENCE
Data scientists develop mathematical models and algorithms to allow the mining of business insights from data and automate cognitive business processes. They work with a wide range of techniques, including classical machine learning methods, neural networks and reinforcement learning.
BUSINESS INTELLIGENCE
BI engineers help clients build systems for analyzing KPIs and other important business parameters. The process comprises three stages: warehousing (developing analytical data storage), ETL (developing processes for extracting information from various sources, information refinement and transforming it into required format) and reporting (visualization and presenting graphic information based on table data).
BUSINESS ANALYSIS
Business analysts work with a wide range of business- or system-oriented tasks depending on project size and specific goals. Business-oriented tasks are intended to elicit customers’ requirements, while system-oriented ones are intended to analyze the information, develop data model, or even high-level system design sometimes.
DATA DELIVERY
Delivery managers ensure successful end-to-end delivery for complex programs, projects or multiple workstreams in the Data and Analytics Domain. The Data Delivery Manager is accountable for the overall project delivery, client satisfaction, and management of expectations while ensuring that the work is on strategy, on time, and withing budget.)