Data Engineer at Masdar

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, Cloud Database Management, ETL, ELT, Python, SQL, Databricks, Azure, Spark, PySpark, Pandas, AI, Machine Learning, Data Visualization, Analytical Skills, Problem-Solving, Teamwork

Industry

Renewable Energy Power Generation

Description

Company Description Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence. Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 51 gigawatts (GW). Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030. Job Description 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. Please note that for this role, we strongly prefer applicants who can work in the UK without requiring visa sponsorship. 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. Qualifications 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. Additional Information 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 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. Business unit: Chief Investment Office Division: Offshore Wind

Responsibilities

The Data Engineer will design, build, and maintain data pipelines and cloud infrastructure to support analytics and AI applications. This role involves collaboration with cross-functional teams to enhance analytics capabilities and drive business growth.