Skip navigation EPAM
header

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

275+
Forbes Global 2000 Customers


47,850+*
Total EPAMers

* Data for Q2 2021

35+
Countries


FORTUNE

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

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. 

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

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.

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.

 

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.