At a Glance
- Tasks: Build and optimise data pipelines for a modern, cloud-first data platform.
- 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: Collaborative environment with a focus on building scalable data platforms.
- Why this job: Shape architecture and enable real-time analytics while tackling complex data challenges.
- Qualifications: Strong AWS, Python, and SQL skills with experience in 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.
Bi Data Engineer in Manchester employer: Lorien
Join our dynamic team in the heart of Manchester City Centre, where we foster a collaborative work culture that prioritises innovation and employee growth. As a Data Engineer, you'll have the opportunity to work on cutting-edge cloud technologies and high-volume data systems, while enjoying flexible hybrid working arrangements and a commitment to professional development. Our focus on real-time analytics and machine learning use cases ensures that your contributions will have a meaningful impact on our data-driven initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Bi Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local 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, and any cloud migration projects you've worked on. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your AWS, Python, and SQL knowledge. Be ready to discuss your experience with large-scale data systems and how you've tackled complex challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace Bi Data Engineer 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 cool 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 questions. Being able to discuss your experience with these tools confidently will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you built or optimised data pipelines and what impact it had on performance. This will demonstrate your ability to contribute effectively to their data engineering needs.
✨Understand Data Warehousing Concepts
Familiarise yourself with lakehouse and data warehousing solutions. Be ready to explain how these concepts apply to real-world scenarios, especially in relation to scalability and performance. This knowledge will highlight your expertise and readiness to take on the responsibilities of 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. Highlight your communication skills and how you ensure alignment across teams, as this is crucial for success in a hybrid environment.
