Data Engineer

Meet Genesis

Genesis Digital Solutions is a consulting and technology company that helps organizations turn ideas into measurable business impact through digital expertise and AI innovation. Founded in 2018, we operate across Portugal and the United Arab Emirates, supporting clients in multiple industries with intelligent, scalable, and secure solutions. We combine strategy, engineering, and emerging technologies such as AI, Data, Web3, and Digital Product Development to drive transformation end to end. Our focus is on building practical, human-centered solutions and long-term partnerships that enable sustainable growth, innovation, and real-world results.

Your Next Challenge

Join our client’s team as a Data Engineer and contribute to the development of scalable and modern data platforms. You will work on building robust data pipelines, integrating data from multiple sources, and enabling reliable data solutions that support analytics, reporting, and business decision-making.

What You’ll Work On

• Building and maintaining data pipelines for collecting, transforming, and integrating data from multiple sources.
  


• Working with cloud platforms and services such as AWS (S3, Lambda, Glue) and Databricks.
  


• Developing scalable data processing solutions using Python and related technology stacks.
  


• Supporting the full data lifecycle, from ideation and ETL/ELT processes to deployment and operationalization of data products.
  


• Ensuring data availability, quality, and reliability for reporting and analytics initiatives.
  


• Collaborating with multidisciplinary teams to deliver efficient and scalable data enablement solutions.
  


• Contributing to reusable, testable, and maintainable codebases following development best practices.
  


• Supporting version control and collaborative workflows using GitHub.
  

What We’re Looking For

• Experience building data pipelines and integrating data from diverse data sources.
  


• Hands-on experience with cloud platforms such as AWS, including services like S3, Lambda, and Glue.
  


• Experience with Databricks or similar cloud-based data engineering platforms.
  


• Strong programming skills in Python and related ecosystems.
  


• Good understanding of the data lifecycle, including ETL/ELT processes and deployment of data products.
  


• Experience using GitHub and collaborative development practices.
  


• Strong analytical and problem-solving skills.
  


• Ability to work collaboratively in agile and technical environments.
  

Bonus Points

• Experience writing reusable, scalable, and testable code.
  


• Strong understanding of software engineering best practices applied to data engineering.
  


• Experience with modern data architectures and cloud-native solutions.
  

Why You’ll Stay

• A workplace that values innovation and continuous learning
  


• Opportunity to work on modern cloud and data-driven projects
  


• Flexible working model and collaborative environment
  


• Support for professional development, training, and certifications
  


• Health and life insurance
  


• 25 days of annual leave