At a Glance
- Tasks: Build and scale a modern cloud-first data platform with high-volume data systems.
- Company: Join a dynamic team in Manchester City Centre focused on innovative data solutions.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Perfect for those who love tackling complex data challenges.
- Why this job: Shape the future of data analytics and machine learning in a collaborative environment.
- Qualifications: Strong AWS, Python, SQL skills, and experience with large-scale data pipelines.
The predicted salary is between 45000 - 55000 £ per year.
We’re hiring a Data Engineer to help build and scale a modern, cloud-first data platform. This is a great opportunity to work on high-volume data systems, shaping architecture and enabling real-time analytics and ML use cases.
- Build and optimise data pipelines & ETL processes
- Contribute to a cloud migration to AWS (S3, Redshift)
- Develop lakehouse / data warehousing solutions
- Improve data quality, performance & scalability
- Partner with Data Science & Analytics teams
Requirements:
- AWS (Glue, Lambda, S3, Redshift, EMR)
- Python, SQL, PySpark
- Strong AWS data engineering experience
- Solid Python & SQL skills
- Experience with large-scale data pipelines & PySpark
- Good understanding of data warehousing / lakehouse concepts
This would be a great role for someone who enjoys building scalable data platforms and solving complex data challenges in a collaborative environment.
Ingegnere Dati in Manchester employer: Lorien
Join our dynamic team in the heart of Manchester City Centre, where we foster a collaborative and innovative work culture that empowers our employees to excel. As a Data Engineer, you will have access to cutting-edge technology and opportunities for professional growth, all while contributing to impactful projects that shape the future of data analytics. Enjoy the benefits of a hybrid working model, competitive remuneration, and a supportive environment that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, or any cool projects you've worked on. This is your chance to shine and demonstrate your expertise in Python, SQL, and AWS.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with cloud migration and data warehousing. Practice common interview questions and think about how you can relate your past work to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Keep an eye on our job listings and make sure your application stands out!
We think you need these skills to ace Ingegnere Dati in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Python, and SQL. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our cloud-first data platform. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any data pipelines or ETL processes, make sure to mention them! We love seeing real-world examples of your work, especially if they involve AWS or large-scale data systems.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Lorien
✨Know Your Tech Stack
Make sure you’re well-versed in AWS services like S3, Redshift, and Glue. Brush up on your Python and SQL skills too, as they’ll likely come up during technical discussions. Being able to talk confidently about your experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering. Think of examples where you built or optimised data pipelines or improved data quality. This will demonstrate your ability to tackle complex data challenges, which is key for this role.
✨Understand Data Warehousing Concepts
Familiarise yourself with lakehouse and data warehousing concepts. Be ready to explain how you’ve implemented these solutions in past projects. This knowledge will highlight your understanding of scalable data platforms and your fit for the role.
✨Collaborate and Communicate
Since this role involves partnering with Data Science and Analytics teams, be prepared to discuss how you’ve worked collaboratively in the past. Share examples of how you’ve communicated technical concepts to non-technical stakeholders, as this will show your ability to work in a team-oriented environment.
