Senior Data Engineer

About us:

At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services. 

For the last three years in a row, Cognira has been recognized as one of the fastest-growing companies in North America. We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients. 

Our Locations: 

• Atlanta, GA, US 
• Tunis, Tunisia
• Istanbul, Turkey
• Paris, France
• Porto, Portugal
  
  

Important: Please submit your resume in English only.

About this role:

We’re looking for a Senior Data Engineer to partner closely with data scientists and software engineers, having as a primary mission to build tools and prepare the infrastructure for data-intensive products. In this role, you’ll help ensure our data pipelines are reliable, scalable, and efficient— to improve the company performance across the domain.  

What you will do:

• Build, administer, and scale data processing pipelines
• Improve scalability, stability, accuracy, speed, and efficiency of our existing data systems
• Support data scientists to make prototypes production-ready
• Design and implement robust data workflows using Databricks, with strong Spark and SQL skills for transformation, optimization, and analytics
• Ensure ways to enhance data quality and reliability
  

What you bring to the table:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering or backend software development, with a track record of delivering production-grade systems
• Experience with Spark is a must
• Hands-on experience with Databricks and strong proficiency in SQL for data transformation, performance tuning, and analytics
  
• Experience working with relational databases, particularly PostgreSQL
• Experience with cloud platforms, preferably Azure.
• Strong coding skills in Python and/or Scala
• A good understanding of the best practices for developing software (version control, CI/CD, automation, pair programming, documentation, testing, …)
• Deep knowledge of distributed data processing frameworks, especially Apache Spark
• Solid understanding of CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes)
• Knowledge of the microservice architecture, Docker, Kubernetes is a plus
  
• Excellent problem-solving, analytical skills, communication, and leadership skills
  

Your Tech Stack:

• Spark (Scala, Python)
• SQL (Postgres, DuckDB)
• Databricks, Docker, Kubernetes, Azure
• Cassandra

What we offer:

• Competitive salaries and comprehensive benefits
• 22 days of paid time off, plus major national holidays in Portugal
  
• Enjoy 20 days of "Work From Anywhere" flexibility each year 
• Respectful, innovative, and diverse team
• Join our mentorship program, as a Mentor or a Mentee!
• Employee Referral Program: earn a bonus for your referral!
  
• Social events and after-work activities
• IT kit and a welcome pack

Recruitment Process:

• 3 technical interviews (with our Senior Data Engineers & our Director of Software Engineering) and a final interview with our General Manager.

We look forward to your application!