Data Engineer

Data Engineer

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines for analytics and AI in the renewables sector.
  • Company: Join Masdar, a leader in renewable energy and sustainability.
  • Benefits: Full-time role with competitive salary and opportunities for growth.
  • Why this job: Make a real impact on clean energy solutions while advancing your career.
  • Qualifications: Bachelor's degree and 2 years of experience in data science or related fields.
  • Other info: Collaborative environment with a focus on innovation and sustainability.

The predicted salary is between 36000 - 60000 Β£ 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.

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.

Data Engineer employer: Masdar

Masdar is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the renewable energy sector. With a strong commitment to sustainability and employee growth, Masdar provides opportunities for professional development through cutting-edge projects and cross-functional teamwork, all while being at the forefront of the global energy transition. Employees enjoy a culture that values forward-thinking solutions and a proactive approach to tackling climate challenges, making it a rewarding place to contribute to meaningful change.
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Contact Detail:

Masdar Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the renewables sector, especially those working with data. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines, dashboards, or any cool projects you've worked on. This is your chance to shine and demonstrate your expertise in Python, SQL, and cloud databases. Make sure to link it in your applications!

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding of AI and machine learning. Practice common data engineering questions and be ready to discuss how you can contribute to sustainability through innovative data solutions.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for passionate Data Engineers who want to make a difference in the renewable energy sector. Your dream job could be just a click away!

We think you need these skills to ace Data Engineer

Data Pipeline Development
ETL / ELT Processes
Cloud Database Management
Python Programming
SQL Programming
Databricks
Azure
Spark
PySpark
Pandas
AI and Machine Learning Techniques
Data Visualisation Tools
Analytical Skills
Problem-Solving Skills
Communication Skills
Teamwork Skills

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 you've worked on. We want to see how your skills align with what we're looking for!

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 in data science makes you a great fit for our team. Let us know what excites you about this role!

Showcase Your Technical Skills: Be sure to mention your proficiency in Python, SQL, and any experience with tools like Databricks or Azure. We love seeing candidates who can demonstrate their technical expertise and how they’ve applied it in real-world scenarios.

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 shows us you’re keen on joining our team at StudySmarter!

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 platforms like Azure or AWS. Be prepared to talk about how you've optimised data storage and retrieval, and any best practices you've implemented for data governance.

✨Communicate Effectively

Since this role involves collaboration with cross-functional teams, practice articulating your thoughts clearly. Think of examples where you've successfully communicated complex data concepts to non-technical stakeholders.

✨Passion for Sustainability

Masdar is all about renewable energy, so express your enthusiasm for sustainability and how it aligns with your career goals. Share any relevant projects or experiences that highlight your commitment to this field.

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