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Join Our Data and Analytics Practice in Spain

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 Spain and we invite you to join us. 

CAREER OPPORTUNITIES

Senior Software Engineers
Lead Engineers
Data Solution Architects
Technical Consultants
Data Scientists
Delivery Managers

ABOUT EPAM

280+
Forbes Global 2000 Customers

61,600*
Total EPAMers

*Data for Q1 2022

45+
Countries

FORTUNE

Ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list in 2019, 2020 and 2021

OPEN SOURCE

1,300 contributors and 100,000 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. 

Our customers need to know what’s going on in their business, what’s going on with their customers, and how their actions resonate. They are accelerating their investments into new analytical capabilities, new cloud data platforms, ML/AI use cases, and data governance programs that are a ‘must have’ to stay competitive. EPAM has a compelling offering to our customers because we think strategically and deliver incremental value quickly. Our true end-to-end services—from integrated data consulting to delivery and automation capabilities—enables our customers to not only extract powerful information but realize the true business benefits and opportunities it provides. Our data practice has been rapidly growing to meet our customers’ demand, which means we have a lot of exciting opportunities for all levels and skillsets.

Val Tsitlik

VP of Technology Solutions at EPAM Systems, on the growth of our global data practice

Our Data & Analytics Practice

BIG DATA

Big Data engineers develop distributed software systems for information analysis and processing. Their continuous professional development is ensured by utilizing a wide range of big data technologies, applicable for projects in various business domains.

 

It had been a goal of mine to work in a role where I’m challenged, and get to work alongside a diverse team of professionals, with different backgrounds, experiences and expertise. I was looking for an environment where I can share and acquire more knowledge each day, improve my expertise and therefore deliver more for our clients. I’m realizing these goals working as a software engineer at EPAM! It’s been a great opportunity to grow my career.

Rodrigo Cerqueira

Senior Software Engineer

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).

The ultimate goal of the custom-tailored business intelligence solutions we build is to decrease the time our customers spend to find and understand key information they need to make data-driven decisions about their business. To reach this goal we are focusing on the full range of questions, from user journey to performance, data quality and calculations in our analytical products.

What inspires me the most is the opportunity to help people in their everyday work by providing solutions that allow you to focus on relevant data in an easy-to-analyze form. 

The other part I enjoy is an opportunity to learn every day from each other and evolve together as a distributed cross-cultural team of motivated professionals.

Irina Setina

Senior Software Engineer

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.

Working in EPAM’s data practice has been a major milestone in my career. The team strives for perfection by applying up-to-date best practices. 

As DevOps in our data practice, I’m able to take matters into my own hands - handling huge data sets comes with new challenges and opportunities. I like working here because I'm utilizing DevOps techniques to help teams break down the barriers between data and operations, which allows us to focus on gathering the right data for the most pressing business needs.

Ahmad Hourani

Senior Systems Engineer

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.

 

In our data practice you can learn and practice new technologies with the support of great colleagues.

As a Data Quality Engineer, you will be positioned perfectly between the data, technologies and business. In my day-to-day activity I have a lot of tasks related to data governance, data quality, data profiling and data analyzing. After that, everything in the world is a possible data set for you!

Oleksandr Kasianov

Senior Data Quality Engineer

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.

 

The beauty of data science is that every problem is always different than the previous one. 

EPAM's clients are world leaders in their industries, so working at EPAM gives me the opportunity of facing the most intellectually challenging problems and to apply state-of-the-art techniques and technologies to solve them. 

Working surrounded by brilliant minds with all kinds of backgrounds is a fulfilling experience that helps me learn every day and grow in my career.

Alberto Jose Benayas

Senior Data Scientist

 

I started my career at EPAM as a very junior Data Scientist. My experience has been full of challenging tasks and I’ve faced them with a brilliant team of passionate developers. It’s given me the opportunity to grow, fed my hunger to learn new things, and I’ve made friends in different countries, cultures, and time zones.  

Working at EPAM gives you the opportunity to participate in different Data Science domains and work for different businesses – this ensures that each project you work on is unique and widens your expertise.

Kseniia Staroverova

Senior Data Scientist

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.

Working at EPAM has given me an opportunity to work on international teams with clients and colleagues from around the world. As a result, I have really grown personally and professionally.

 

Business analysis is interesting because the focus of the work is directed to the needs and problems of the business. It allows you to explore different domains and business processes. From a data perspective, you will work with a variety of technologies, deepen your understanding of their capabilities and build your expertise to provide more optimal solutions to our customers. Often an analyst's area of responsibility is quite flexible, so you can always grow and take on more responsibility.

Ivan Golovanov

Lead Business Analyst

 

TECH STACK

TECH STACK

RECENT GLOBAL PROJECTS

Vehicle Condition Monitoring

This project’s goal was to monitor a car fleet in order to make predictions about which cars should be sent for inspection and which should be sold when repairs cost more than expected profit. A platform based on Snowflake was developed. ETL was built on Talend and Spark, with visualization on SAP BO.

Automating Experts’ Work for a Large Online Auction House

The customer for this project is one of the largest online auction houses in the world which specializes in the sale of rare and collectible items. They have a team of experts assessing lots in various categories. Our project involved automating the experts' work using machine learning algorithms. Using the accumulated data, we automated as much of the routine work as possible, enabling the experts to focus on the rarest and most specific lots. 

Recognizing Customer Actions in a Global Network of Health and Beauty Stores

Our client for this project was a health and beauty store chain operating in more than 25 countries. The project developed a system for recognizing and tracking customer actions in stores using surveillance cameras which are used by analysts to optimize store operations. Our product was a mixture of deep convolutional networks for detection and classical algorithms for object tracking. The technology stack was based on Python and TensorFlow.

RECENT GLOBAL PROJECTS

Vehicle Condition Monitoring

This project’s goal was to monitor a car fleet in order to make predictions about which cars should be sent for inspection and which should be sold when repairs cost more than expected profit. A platform based on Snowflake was developed. ETL was built on Talend and Spark, with visualization on SAP BO.

Automating Experts’ Work for a Large Online Auction House

The customer for this project is one of the largest online auction houses in the world which specializes in the sale of rare and collectible items. They have a team of experts assessing lots in various categories. Our project involved automating the experts' work using machine learning algorithms. Using the accumulated data, we automated as much of the routine work as possible, enabling the experts to focus on the rarest and most specific lots. 

Recognizing Customer Actions in a Global Network of Health and Beauty Stores

Our client for this project was a health and beauty store chain operating in more than 25 countries. The project developed a system for recognizing and tracking customer actions in stores using surveillance cameras which are used by analysts to optimize store operations. Our product was a mixture of deep convolutional networks for detection and classical algorithms for object tracking. The technology stack was based on Python and TensorFlow.

INTERESTED IN RELOCATING TO SPAIN?

If you’re open to moving countries, find out how EPAM will support the relocation of you and your family.