Data Engineer

If you're interested in this role at PAX, please send your CV and a cover letter (optional) that best expresses your interest and qualifications to

As a Data Engineer in our team, you will be responsible for assessing complex new data sources and quickly turning these into business insights. You will visually demonstrate data concepts and use-cases that will provide business value to our customers. You also will support the implementation and integration of these new data sources into our Big Data platform.

Who you are
  • You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.
  • You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
  • You participate in early state design and feature definition activities.
  • You help to prove concepts, evaluate innovative technologies and contribute ideas to create actionable implementations.
  • You use open source or readily available technology to generate visualizations from new data sources.
  • You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
  • You transform ambiguity into clarity.
  • You enjoy collaborating in a multicultural and diverse environment that expands to include various geographic locations.
  • You have stellar communication skills, effectively expressing yourself.  You convey and receive information in a clear, credible and consistent manner.
What you'll need
  • Advanced working knowledge and experience with relational and non-relational databases
  • Experience building and optimizing Big Data data pipelines, architectures and data sets
  • Strong analytic skills related to working with unstructured datasets
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, streaming processing, and highly scalable data stores
  • Experience developing within the ELK stack(Elastic Search, Log Stash & Kibana)
  • Minimum 5 years of experience
  • Bachelor’s degree in CS, Statistics, Information Systems or another quantitative field
Bonus if you have
  • Knowledge/Experience with a cloud stack.
  • Telecom and/or government data set experience/knowledge.
  • Experience working in an Agile environment, CSD, CSM, SA, ASE.

If you're interested in this role at PAX, please send your CV and a cover letter (optional) that best expresses your interest and qualifications to


• Competitive Pay
• Annual Bonus Program
• Generous Paid Time Off
• Comprehensive Health Benefits
• Relocation Assistance
• Housing & Education Allowance
• Annual Return Ticket Home
• Learning & Development Program
• Casual Work Environment
• Plentiful snacks and refreshments
• Gym Access
• Visa Sponsorship


Abu Dhabi