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- Tasks: Design and build data pipelines for analytics and AI in the renewables sector.
- Company: Join a forward-thinking company focused on sustainability and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in renewable energy through innovative data solutions.
- Qualifications: Degree in Data Science or related field; experience with Python, SQL, and cloud technologies.
- Other info: Collaborative environment with a passion for sustainability and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
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.
- 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.
- 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.
Data Engineer in London employer: Masdar
Contact Detail:
Masdar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the renewables sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, dashboards, and any cool projects you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data challenges – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer 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. 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 machine learning or data visualisation. This gives us a taste of what you can bring to the table.
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!
How to prepare for a job interview at Masdar
✨Know Your Data Pipelines
Make sure you understand the ins and outs of ETL/ELT processes. Be ready to discuss your experience in designing and maintaining data pipelines, and how you've ensured data accuracy and security in previous roles.
✨Showcase Your Cloud Skills
Familiarise yourself with cloud database management, especially if you've worked with Azure or Databricks. Be prepared to talk about how you've optimised data storage and retrieval, and any best practices you've implemented for data governance.
✨Visualisation is Key
Brush up on your data visualisation skills. You might be asked to explain how you've built interactive dashboards in the past, so have examples ready that demonstrate your ability to provide actionable insights for stakeholders.
✨Collaborate and Communicate
This role involves working closely with cross-functional teams, so highlight your teamwork and communication skills. Think of specific instances where you've collaborated with data scientists or business teams to deliver impactful solutions.
