At a Glance
- Tasks: Join a dynamic team to shape data-driven decisions in a leading energy company.
- Company: Multinational energy company focused on low-carbon solutions.
- Benefits: Salary up to £60,000, hybrid work, strong career progression, and generous pension contributions.
- Why this job: Make a real impact in the transition to sustainable energy while advancing your career.
- Qualifications: 4+ years of data engineering experience with AWS and strong communication skills.
- Other info: Exciting opportunity for growth in a collaborative and innovative environment.
The predicted salary is between 55000 - 60000 £ per year.
Location: Leeds (Hybrid – 2 days on-site)
Salary: up to £60,000
Gravitas is working with a multinational energy company, focused on the transition to low-carbon energy. Due to continued expansion, they are looking for a Data Engineer to join our growing data team. This is an exciting opportunity to help shape the future of data-driven decision-making within the company.
What We’re Looking For
- Minimum 4 years of data engineering experience.
- Strong experience with AWS services (Redshift, Lambda, S3, Glue, Lake Formation).
- Expertise in ETL/ELT development, data warehouse design (Kimball, Lakehouse).
- Proficiency in Python, Apache Spark, SQL, and CI/CD pipelines.
- Knowledge of Agile methodologies and ability to manage projects effectively.
- Excellent stakeholder management and communication skills.
- Hands-on experience with DBT, Apache Iceberg, Docker (nice to have).
What you’ll get
- Salary £55,000 to £60,000
- Strong career progression and development
- Hybrid working (2 days a week in Leeds)
- 5% Discretionary bonus
- Pension: Employee contribution 6%/Employer Contribution 12%
- Income Protection
If you have the skills, passion and drive to make your mark in a growing team, please apply to learn more.
(Please note sponsorship is not available for this position)
Data Engineer (AWS)- Leeds employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (AWS)- Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your AWS skills. Make sure you can talk confidently about Redshift, Lambda, and all those other services mentioned in the job description.
✨Tip Number 3
Showcase your projects! Bring examples of your ETL/ELT work or data warehouse designs to the interview. It’s a great way to demonstrate your hands-on experience and problem-solving skills.
✨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 take that extra step!
We think you need these skills to ace Data Engineer (AWS)- Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services and data engineering. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your expertise in ETL/ELT development and data warehouse design.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how you can contribute to our mission of low-carbon energy. We love seeing personality, so let your enthusiasm come through!
Showcase Relevant Projects: If you've worked on any projects that involved Python, Apache Spark, or CI/CD pipelines, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back on the details!
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 a few clicks and you’re done!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like Redshift, Lambda, and S3. Be ready to discuss how you've used these tools in your previous roles, as this will show your practical experience and understanding of the tech stack.
✨Showcase Your ETL/ELT Skills
Prepare to talk about your experience with ETL/ELT development and data warehouse design. Have specific examples ready that highlight your expertise in Kimball or Lakehouse methodologies, as this is crucial for the role.
✨Demonstrate Your Coding Proficiency
Since proficiency in Python, Apache Spark, and SQL is key, be prepared to discuss your coding projects. You might even want to bring along a code sample or two to demonstrate your skills and problem-solving abilities.
✨Communicate Effectively
Excellent stakeholder management and communication skills are essential. Practice explaining complex technical concepts in simple terms, as this will help you connect with non-technical interviewers and showcase your ability to work within a team.