Explore exciting Data Engineer opportunities. Data Engineers are in high demand, responsible for designing, building, and maintaining data pipelines and systems. These professionals play a crucial role in transforming raw data into usable information for analysis and decision‑making, working with databases, data warehouses, and big data technologies.
Job responsibilities typically include data modeling, ETL (extract, transform, load) processes, and ensuring data quality and security. Data Engineers collaborate with data scientists, analysts, and other stakeholders to support data‑driven initiatives. They need expertise in programming languages like Python and SQL, cloud platforms, and data processing frameworks.
If you have a strong analytical mind, problem‑solving skills, and a passion for data, a Data Engineer role could be a perfect fit. The field offers career growth and the chance to work on innovative projects.
QAR
120,000 - QAR
240,000 per year
Sector:
Oil and Gas
About Us
At Codvo, we are committed to building scalable, future‑ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting‑edge technology.
The Opportunity
The Data Engineer will be a foundational architect of our delivery strategy, responsible for building and maintaining the data ecosystem required for our scoped‑out use cases. You will be the crucial link between our vast, complex data sources and our advanced analytics ambitions. This involves tackling the unique challenges of the oil and gas sector, bridging the worlds of operational technology (OT)—with its real‑time drilling data, SCADA systems, and seismic surveys—and information technology (IT).
Your mission is to build the specific, high‑performance data pipelines required to deliver our portfolio of projects. This means going beyond simple data movement; you will be creating reliable, scalable, and secure data products that serve as the fuel for our most critical AI models and analytics dashboards, directly enabling tangible business value and competitive advantage.
- Architect & Build Data Pipelines:
Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines. - Integrate Diverse Data Sources:
Develop processes to ingest and integrate high‑volume, high‑velocity data from SCADA systems, historians (like OSIsoft PI, Aspen Info Plus.
21), DCS, PLC, and IoT sensors. - Cloud Data Platform Development:
Implement and manage data solutions on the Microsoft Azure cloud platform, leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real‑time ingestion and processing of operational technology (OT) data. - Data Modelling & Warehousing:
Design and implement data models optimized for time‑series data from industrial assets, supporting operational dashboards and real‑time analytics. - Enable Advanced AI:
Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real‑time OT data. - Champion Master Data Management (MDM):
Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise. - Ensure Data Quality & Governance:
Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies. - Embrace Industry Standards:
Champion and implement industry‑specific data standards and models, such as the OSDU Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle. - Collaborate & Innovate:
Work closely with a cross‑functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions. - Automate & Optimize:
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