Senior Data Engineer – AIQ

Group 42

Job Description

About AIQ

AIQ is a new joint venture company between ADNOC and Group 42, which focuses on developing artificial intelligence technologies in the United Arab Emirates. AIQ develops and commercializes AI products and applications for the oil and gas industry. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients.

AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.


  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. 
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. 
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. 
  • Writes unit/integration tests, contributes to engineering wiki, and documents work. 
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. 
  • Works closely with a team of frontend and backend engineers, product managers, and analysts. 
  • Designs data integrations and data quality framework. 
  • Designs and evaluates open source and vendor tools for data lineage. 
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

RequirementBS or MS degree in Computer Science or a related technical fieldStrong analytic skills related to working with unstructured datasetsKey Skills Hands on experience with Image Processing is a mustHands on experience with Python and knowledge of Data Science popular libraries like (PyTorch, Tensorflow and OpenCV – either OR)Hands on experience with popular databases, PostgreSQL(must) and MongoDB(optional). Knowledge of geospatial (must)and timeseries DBs (must). Experience with Docker is a must. Knowledge of devops tools and Kubernetes(preferred) is a plus.Great understanding of messaging broker concept (preferred).Good knowledge on task scheduling techniques (preferred).Experience with data pipeline and workflow management tools is desirable (preferred).Experience with or knowledge of Agile Software Development methodologies (desirable)Excellent problem solving and troubleshooting skills Process oriented with great documentation skills Excellent oral and written communication skills with a keen sense of customer service Experience:5+ years of Python or other5+ years of SQL and NoSQL experience5+ years of experience with schema design and dimensional data modelingExperience with other programming languages like TypeScript (NodeJs) and Go is a huge advantageAbility in managing and communicating data warehouse plans to internal clientsExperience designing, building, and maintaining data processing systemsExperience working with either a Map Reduce or an MPP system on any size/scale (a plus)

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