Dava.X Academy Engineer

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

As an Data & AI Associate, you will be part of a dynamic, cross-functional team developing AI-driven applications, data solutions and cloud-based systems for clients across multiple industries. This role provides a unique opportunity to explore different aspects of engineering, data science, and data analytics while working on real-world AI and data projects.

You will gain hands-on experience with data pipelines, machine learning models, big data technologies data visualization and business intelligence tools, with the flexibility to specialize based on your skills and interests.

Key Responsibilities

• Assist in data collection, processing and transformation, ensuring high-quality and accessible data for analytics and AI applications.
• Work with structured and unstructured data from various sources, leveraging cloud-based platforms and databases.
• Assist in software development using modern programming languages and following best coding practices.
• Develop and optimize ETL pipelines and contribute to data engineering best practices.
• Support the development of predictive models, machine learning solutions, and statistical analyses to extract valuable insights.
• Collaborate with data engineers, scientists, and business teams to ensure seamless data integration and workflow automation.
• Stay updated on emerging AI, machine learning, and big data trends, applying innovative approaches to problem-solving.
• Document processes, contribute to best practices, and participate in knowledge-sharing initiatives within the Data & AI team.

Qualifications

• We’re looking for dynamic, open-minded problem-solvers eager to build a career in IT Services and Consulting.

  Whether your passion lies in data analysis, software development, AI, DevOps or cloud computing, we value individuals who are adaptable, curious, and driven to learn.

  Strong analytical and problem-solving skills, combined with a foundational understanding of data processing, software engineering or cloud technologies, will be beneficial. An interest in machine learning, AI applications, and modern data ecosystems is essential. 

  Familiarity with programming languages such as Python, Java, .NET, JavaScript, SQL, or R, as well as exposure to big data technologies, data visualization tools, and automation pipelines, will be an advantage.

  Knowledge of data governance, security, and compliance standards is beneficial, particularly for those interested in working with enterprise-scale data solutions.

  Equally important are effective communication skills, the ability to translate technical insights into business impact, and a mindset geared toward continuous learning, innovation, and embracing new challenges in technology.

Additional Information

A structured graduate training program with mentorship and career development support.

• Exposure to real-world data and AI projects with global enterprises.
• Learning opportunities in data engineering, data science, and analytics, with options to specialize.
• Certification support in key cloud, data, and AI technologies.
• A collaborative, inclusive work environment with a focus on innovation and career growth.
• Competitive salary and benefits, with clear progression paths into specialized roles, such as:
  • AI Software Development Engineer
  • Data Engineer (Cloud & Data Pipelines)
  • Data Scientist (AI & Machine Learning)
  • Data Analyst (Business Intelligence & Insights)

Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.