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- Tasks: Design and maintain data pipelines for analytics and AI in the renewable energy sector.
- Company: Join Masdar, a global leader in clean energy innovation.
- Benefits: Competitive salary, career growth, and the chance to make a real impact.
- Other info: Collaborative environment with opportunities to work on cutting-edge technology.
- Why this job: Be part of a mission to transform energy production and consumption through data.
- Qualifications: Bachelor's degree in a related field and 2 years of relevant experience.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
- 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.
- 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.
- 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:
- Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
- At least 2 years of experience in a related data science field.
- Expert-level proficiency in Python and SQL programming.
- Strong knowledge of AI and machine learning techniques with time-series data.
- Familiarity with data visualisation tools and webpage design.
- Forward-thinking mindset with the ability to design scalable, future-proof data solutions that adapt to evolving technologies and business needs.
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.
Data Engineering in Data and Machine Learning in London employer: Masdar
Contact Detail:
Masdar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering in Data and Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud databases and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with ETL pipelines and cloud infrastructure. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities at Masdar that align perfectly with your skills. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Data Engineering in Data and Machine Learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering role. Highlight your experience with data pipelines, cloud databases, and any relevant projects that showcase your skills in Python and SQL. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about renewable energy and how your background aligns with our goals at Masdar. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work, especially if it involves AI, machine learning, or data visualisation. This gives us a glimpse into your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Masdar
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around ETL/ELT processes. Brush up on your Python and SQL skills, as these will likely come up during technical discussions. Be ready to discuss how you've designed and maintained data pipelines in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data management or cloud database performance. Think about times when you optimised data architecture or ensured data accuracy and security. This will demonstrate your ability to think critically and provide innovative solutions.
✨Understand the Business Context
Familiarise yourself with Masdar’s mission and projects in renewable energy. Be prepared to discuss how your role as a Data Engineer can contribute to their goals, particularly in driving operational efficiency and sustainability through data-driven decision-making.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, practice articulating your ideas clearly. Think about how you would explain complex data concepts to non-technical stakeholders. Highlight any past experiences where collaboration led to successful project outcomes.