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- Tasks: Design and develop modern cloud solutions for enterprise-scale Data Lakes and Warehouses.
- Company: Join a well-established Data team with a focus on innovation and collaboration.
- Benefits: Enjoy a competitive salary, bonus opportunities, and a flexible 35-hour work week.
- Other info: Work remotely with occasional team meetups in Yorkshire and great career growth.
- Why this job: Transform complex data into clarity and make a real impact on client operations.
- Qualifications: Proven experience with Amazon Redshift and enterprise data solutions.
The predicted salary is between 55000 - 60000 £ per year.
Joining a well-established and highly skilled Data team, an experienced Data Engineer is required to help design and develop modern cloud solutions. To hit the ground running in this role, you will have proven experience designing, building and maintaining enterprise-scale Data Lakes and Data Warehouses on Amazon Redshift.
As a Data Engineer, you will turn complex data into clarity, build scalable solutions, and help deliver insights that transform how the organisations client’s work. Utilising modern technologies, this role presents an exciting challenge to join a business that promotes a healthy work-life balance and encourages professional development.
The role will be primarily remote, with occasional meetups with the team in Yorkshire.
- Bonus opportunities
- 35-hour work week with flexible working
- 25 days holiday + 5 days buy/sell
Data Engineer in Leeds employer: Erin Associates Ltd.
Contact Detail:
Erin Associates Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers on LinkedIn or join relevant online communities. Engaging with professionals in the field can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Data Lakes and Data Warehouses. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common Data Engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, as this will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows your enthusiasm for the role!
We think you need these skills to ace Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Data Lakes and Data Warehouses, especially on Amazon Redshift. We want to see how your skills match 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 data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. We’re keen to see how you've turned complex data into clarity and built scalable solutions. Real-world examples speak volumes!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Erin Associates Ltd.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of Data Lakes and Data Warehouses, especially on Amazon Redshift. Be ready to discuss your past experiences in designing and maintaining these systems, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've turned complex data into actionable insights. Think about the tools and technologies you've used, and be ready to explain your thought process in tackling data-related challenges.
✨Emphasise Team Collaboration
Since this role involves working with a skilled Data team, highlight your experience in collaborative projects. Discuss how you communicate with team members and stakeholders, and how you ensure everyone is aligned on project goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the technologies they use. This shows your genuine interest in the role and helps you understand how you can contribute to their success while also aligning with your professional development goals.