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  • Data Engineering
    in Hungary

Discover our world of professional growth with EPAM Hungary's quality engineering team!

Career Opportunities

OUR PEOPLE: TRACKS & TRANSITION CHOISES

We help you shape your career, offering a wide range of professional tracks.  

Whether you are passionate about data engineering, analytics, data science or delivery management, we support your growth. Our flexible approach lets you move laterally to explore different data roles and vertically to advance on your chosen path. 

Disciplines Insights 

Let's explore the diverse domains you can operate in and smoothly navigate between.

Data Software Engineering 

As a data software engineer, your day involves managing and organizing data from various sources, akin to sorting and arranging puzzle pieces. You transform raw data into a usable format, employing technical skills such as coding and database management. Your work supports our data scientists and analysts, who use the data you prepare to make crucial business decisions. Though often behind the scenes, your role is pivotal in shaping our company's success through data-driven insights.

Tech stack: 

  • Apache Spark
    • Python
    • Scala
  • Apache Beam
  • SQL
  • RDBMS
  • Azure/AWS/GCP
  • Unix/Linux
  • dbt
  • Snowflake
  • Google BigQuery
  • Amazon Redshift
  • Databricks
  • Hive
  • Apache Airflow 

Data Analytics & Visualization Engineering 

Data Analytics and Visualization Engineers blend skills from two related fields. On one side, like Data Integration Engineers, they design target models, manage source data ingestion, create data transformations and pipelines, and build data warehouses. On the other hand, similar to Business Intelligence Engineers, they process data from marts, implement analytic measures, design functions, and use visualization techniques to present data clearly.

By covering tasks from both the back-end and front-end of the data analytics technology stack, a Data Analytics and Visualization Engineer unifies the skills of two interrelated disciplines in one person. 

Tech stack: 

  • RDBMS products: MS SQL Server, Oracle, PostgreSQL, MySQL, Azure SQL Server, AWS RDS, GCP Cloud SQL 
  • Data Warehousing solutions: Snowflake, BigQuery, Azure Synapse, RedShift 
  • Data Integration tools: Azure Data Factory, AWS Glue, GCP Dataflow, Talend, Informatica, Pentaho, Apache KNIME, SSIS 
  • Data Visualization tools: PowerBI, Tableau, QlikView, Looker, Tibco 
  • Programming languages: SQL, Python, SparkSQL, PySpark, R, DAX 
  • Cloud platforms: Azure, AWS, GCP 
  • Cloud components: Storage, Compute, Networking, Identity and Security  
  • CI/CD and Versioning tools: Jenkins, Unit Testing, Git/GitHub/Gitlab  

Business Intelligence Analysis 

A Business Intelligence Analyst (BIA) is a customer-facing data and technology specialist who combines business analysis knowledge and interpersonal and data skills to turn business needs into data solutions. 

This includes: 

  • Speaking the customer language and solving their challenges through data
  • Leading requirement gathering and management activities
  • Delivery of data discovery and data modeling
  • Managing data assessment requirements
  • Using modern data visualization tools and prototypes to validate requirements
  • Preparing signed-off requirements for mass-scaled delivery (user story slicing, requirement management, estimation, prioritization) for a development team
  • Conducting demo sessions
  • Facilitating the UAT phase

In terms of tech skills, BIAs have a good understanding of the modern cloud-based technology stack (in the fields of data and analytics) and are aware of data visualization and data-driven storytelling best practices, big data terms and stack and machine learning fundamentals. 

Typical project roles for a BIA include serving as a business analyst on data projects, data analyst, proxy product owner or product owner.  

Tech stack:  

  • PowerBI
  • Tableau
  • SQL
  • DOMO
  • Spotfire
  • Excel
  • Jira
  • Confluence
  • Colibra
  • Looker
  • QlikSense/View
  • PowerPoint
  • Visio
  • Draw.io
  • Lucidchart 

Data Science

Data science is an interdisciplinary field that utilizes scientific methods, algorithms, and techniques to extract valuable insights and knowledge from various data sources, both structured and unstructured. It combines elements of computer science, mathematics, statistics, and domain expertise to enable evidence-based decision-making and drive innovation across industries. 

Our expertise covers every aspect of the data science journey — from engineering and preprocessing to model development, validation and deployment. Each of us is committed to crafting personalized, cutting-edge solutions that suit our clients' specific needs and to assist them making better decisions and uncover new business opportunities.

Tech stack: 

  • Python
  • Jupyter
  • Scikit-learn
  • XGBoost
  • Pytorch
  • LangChain

Machine Learning Engineering

As a Machine Learning Engineer, you are a skilled architect. Your specialty? Designing and deploying machine learning models that unlock solutions to real-world problems. This role combines a deep grasp of Machine Learning with solid Software Engineering skills to create reliable and efficient ML pipelines.

In harmony with Data Scientists, you are part of transforming early-stage models into ready-for-action tools, perfectly integrated into existing structures. You enable data-driven decision-making and automation, fostering business growth and innovation across various industries.

Tech stack: 

  • ML Pipelines (AWS SageMaker pipelines, GCP Vertex AI pipelines, Azure ML Pipelines, Kubeflow Pipelines) 
  • MLFlow/Kuberflow 
  • AirFlow 
  • Spark 

Data DevOps 

As a Data DevOps Engineer, you're like a skilled conductor orchestrating a balanced data ecosystem. Your tasks range from designing and upkeeping data infrastructure to automating data deployment processes. You work in tandem with data teams to enable seamless deployment of data-related applications while keeping an eye on system performance. You're at the forefront, troubleshooting issues during deployment, while ensuring data security and compliance are met. Paired with your expertise in Big Data technologies, you also work with data engineers to safeguard efficient data handling processes.

Tech stack: 

  • Data pipelines: ML Pipelines (AWS SageMaker pipelines, GCP Vertex AI pipelines, Azure ML Pipelines, Kubeflow Pipelines) 
  • Clouds: AWS/Azure/GCP 
  • Languages: Python, bash 
  • Automation: Terraform, Ansible, AWS SDK 
  • CI/CD Versioning tools: GitHub/Gitlab/Bitbucket, AWS Code Build/Pipeline, Jenkins 
  • Kubernetes 
  • Databricks 
  • AirFlow, Snowflake 

Data Solution Architecture

As a Data Solution Architect, imagine yourself as a mediator between the business world and technological realms. By deciphering business requirements, your role is to create a blueprint of cost-effective, maintainable, scalable parallel and distributed systems for data processing in the cloud. More importantly, you ensure its implementation upholds the highest quality standards, paving the way for a smooth, technology-driven business operation.

Tech stack:  

  • AWS & Azure managed services in data;
  • Databricks
  • Snowflake
  • MS Fabric 

Data Analytics Consulting 

As part of our Data Analytics Consulting practice, you'll serve as the navigator of data-driven transformations. Your mission is to discover business improvement opportunities, analyze business challenges, and suggest the best solutions. From shaping the product strategy to judging its business value, you'll handle it all, ensuring the actionable nature of these plans. Serving as an advocate for data analytics, you'll connect customer vision and requirements to precise deliverables - charting the path to improved business performance.

Skills: 

  • Data Strategy 
  • Data Governance 
  • Master Data Management  
  • Data Architecture 
  • Cloud Platforms 
  • GenAI, MLOps 
  • Business Value Understanding

Data Delivery Management 

As a Data Delivery Manager, you're a specialist in ensuring successful end-to-end delivery of top-tier Data & Analytics solutions using the latest technologies, often cloud-based. Here at EPAM, you're the keystone establishing robust partnerships between business and technology, guiding our clients towards success. This multifaceted role harnesses your data-focused perspective and passion for people, blending hands-on delivery skills with theoretical understanding from both Data & Analytics and Project Management fields.

Skills: 

  • Data Strategy 
  • Data Governance 
  • Master Data Management  
  • Data Architecture 
  • Cloud Platforms 
  • GenAI, MLOps 
Blur BG
  • TESTIMONIALS

“My career journey with EPAM began over eight years ago and has been professionally rewarding and exceptionally motivating ever since. It has offered me the opportunity to lead a diverse range of projects revolving around data and analytics across various industries. In my role, I get exposure to the latest data technologies and gain first-hand experience as industry trends come to life. Every day, I work at the intersection of people, technology and strategy to deliver solutions that empower our clients to excel in the data game.”

Hajnalka

  • TESTIMONIALS

“As a Business Intelligence Analyst, you have the opportunity to create insight and value from raw data. If you are interested in creating stunning dashboards or performance optimization you can find your calling here. The tool landscape is constantly changing, the possibilities increasing, it is rewarding to wow customers with ever better reporting.”

Balint

  • TESTIMONIALS

“With eight years of experience in Java backend development, I sought fresh challenges where I could tackle intricate problems (e.g. scalability), necessitating thoughtful solutions rather than mere habitual coding. My natural inclination toward working with data led to a seamless transition into data engineering. This career shift has exposed me to a wealth of interesting projects and a diverse array of technologies, including the increasingly pivotal field of artificial intelligence (AI). In today's landscape, AI, particularly driven by Large Language Models (LLMs), has assumed an ever-growing significance in the data engineering domain.

Bence

  • TESTIMONIALS

“In recent years, there has been a complete transformation in the way we perceive data. This shift has unlocked limitless opportunities, spanning from distributed computing and business intelligence to machine learning and artificial intelligence. As Data Engineers and Data Solution Architects, we are an integral part of this transformative journey. We are continually exploring new territories while assisting our clients in extracting more valuable insights from their data.

Attila

  • TESTIMONIALS

“I come from a background in economics with a deep passion for data analytics, which led me to acquire a second Master's in Business Analytics eight years ago. Now, as a Business Intelligence (BI) Analyst, I combine my economic knowledge and analytical skills with technology to deliver impactful solutions across various industries. I find fulfillment in my role as it allows me to engage in communication and strategic thinking, while also keeping me well-versed in the latest technological advancements.

Judit

01 / 05

OUR PEOPLE

Hajnalka

“My career journey with EPAM began over eight years ago and has been professionally rewarding and exceptionally motivating ever since. It has offered me the opportunity to lead a diverse range of projects revolving around data and analytics across various industries. In my role, I get exposure to the latest data technologies and gain first-hand experience as industry trends come to life. Every day, I work at the intersection of people, technology and strategy to deliver solutions that empower our clients to excel in the data game.”

OUR PEOPLE

Balint

As a Business Intelligence Analyst, you have the opportunity to create insight and value from raw data. If you are interested in creating stunning dashboards or performance optimization you can find your calling here. The tool landscape is constantly changing, the possibilities increasing, it is rewarding to wow customers with ever better reporting.

OUR PEOPLE

Bence

With eight years of experience in Java backend development, I sought fresh challenges where I could tackle intricate problems (e.g. scalability), necessitating thoughtful solutions rather than mere habitual coding. My natural inclination toward working with data led to a seamless transition into data engineering. This career shift has exposed me to a wealth of interesting projects and a diverse array of technologies, including the increasingly pivotal field of artificial intelligence (AI). In today's landscape, AI, particularly driven by Large Language Models (LLMs), has assumed an ever-growing significance in the data engineering domain.

OUR PEOPLE

Attila

In recent years, there has been a complete transformation in the way we perceive data. This shift has unlocked limitless opportunities, spanning from distributed computing and business intelligence to machine learning and artificial intelligence. As Data Engineers and Data Solution Architects, we are an integral part of this transformative journey. We are continually exploring new territories while assisting our clients in extracting more valuable insights from their data.

OUR PEOPLE

Judit

I come from a background in economics with a deep passion for data analytics, which led me to acquire a second Master's in Business Analytics eight years ago. Now, as a Business Intelligence (BI) Analyst, I combine my economic knowledge and analytical skills with technology to deliver impactful solutions across various industries. I find fulfillment in my role as it allows me to engage in communication and strategic thinking, while also keeping me well-versed in the latest technological advancements.

01 / 05

Use Cases

AWS-based Genomic Analysis System 

Image recognition and integrated Databricks platform 

Evolve with EPAM

Join EPAM and grow your professional career. With our structured career path, you can build on your existing educational background. Become an EPAMer, where you'll find opportunities for development and success.

EPAM Campus Programs 

Jumpstart your Career with EPAM

Seeking to embark or advance your career in IT? At EPAM, we provide many educational opportunities, ranging from self-paced introductory courses to in-depth internships, all tailored to boost your career journey in various IT fields. 

Explore our extensive catalog to see where your talents and skills fit. You can access these opportunities from any location and on a flexible schedule — all remotely delivered. 

Start your career with us through our unique program, EPAM Campus. Dive deep into diverse technology areas, completely free of charge and with no obligations. 

Discover the right opportunity for you with EPAM, where your career in IT can take off. 

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Welcome to our Learning and Development universe

We are delighted to share our internally developed resources to support your personal growth, even if you are not yet part of the EPAM family. Visit our Learning Portal and customize your educational pathway using our multifaceted tools.

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