The Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and cloud-based infrastructure to support analytics, AI applications, and data-driven decision-making in the renewables sector. This role involves managing cloud databases, optimizing data architecture, and ensuring seamless data integration across various systems.

The Data Engineer will collaborate with cross-functional teams to develop machine learning models, create insightful dashboards, and enhance analytics capabilities, driving operational efficiency, sustainability, and business growth through innovative data solutions.

Responsibilities

Data Pipeline Development & Management

• Design, build, and maintain scalable ETL/ELT pipelines to collect, process, and transform data from various sources for analytics and AI applications.
• Ensure data accuracy, consistency, and security through monitoring, validation, and governance frameworks.
• Build automated alerts and bug fixing.

Cloud Database Management

• Oversee the performance, security, and scalability of cloud-based databases, ensuring efficient data storage and retrieval.
• Develop and implement best practices for data modelling, governance, and architecture to enhance data quality and accessibility.
• Advise on the setup of our cloud security, with the support of IT consultants.
• Support cost control measures, seeking out anywhere Masdar can make savings.

Dashboard, Reporting & Model Development

• Build and maintain interactive dashboards and visualizations to provide actionable insights for stakeholders across the business.
• Work closely with data scientists, analysts, engineers, and business teams to understand data needs and deliver impactful solutions.
• Support the deployment of AI and machine learning models by ensuring seamless data flow and infrastructure optimization.

Preferred Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.

Preferred Experience:

• At least 2 years of experience in a related data science field.
• Expert-level proficiency in Python and SQL programming
• Experience with Databricks, Azure, Spark, PySpark and Pandas.
• Strong knowledge of AI and machine learning techniques with time-series data.
• Familiarity with data visualisation tools and webpage design.

Job-Specific Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Forward-thinking mindset with the ability to design scalable, future-proof data solutions that adapt to evolving technologies and business needs.
• Proactive mindset with a passion for renewable energy and sustainability.
• A team player

Masdar is one of the world’s fastest growing renewable energy companies and a green hydrogen leader, placing the UAE at the forefront of the energy transition.

As a pioneer in advancing the clean energy sector and a key enabler of the UAE’s vision as a global leader in sustainability and climate action, Masdar has developed projects in more than 40 countries across six continents and has invested, or committed to invest, in worldwide projects with a combined value of more than US$30 billion.

Masdar unites the UAE’s three energy champions – Mubadala, ADNOC and TAQA – and will utilize their combined expertise to fulfill its purpose as a global clean energy pioneer across renewables and green hydrogen.

Promoting innovation in solar, wind, energy storage, waste-to-energy, and geothermal energy, Masdar has a proven record of delivering pioneering projects using cutting-edge clean energy technologies, that are commercially viable and bankable.

As part of the application process, we will collect, store and process personal information about you.

Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.