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: 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, SQL skills, and experience with large-scale data pipelines.
The predicted salary is between 50000 - 65000 £ 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.
Senior Engineer, Data Engineering in Manchester employer: Lorien
Join a forward-thinking company in the heart of Manchester City Centre, where innovation meets collaboration. As a Senior Engineer in Data Engineering, you'll benefit from a dynamic work culture that prioritises employee growth and offers opportunities to work on cutting-edge cloud technologies. With a focus on real-time analytics and machine learning, this role not only promises meaningful challenges but also provides a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and big data. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud migrations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL processes and data pipeline optimisation techniques. Practise explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Engineer, Data Engineering 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 tell us why you’re the perfect fit for this role. Share your passion for data engineering and any specific experiences that demonstrate your ability to build scalable data platforms.
Showcase Your Projects:If you've worked on any high-volume data systems or cloud migrations, make sure to mention them! We love seeing real-world examples of your work, especially if they involve ETL processes or data warehousing solutions.
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 this exciting opportunity in our Manchester City Centre office!
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 in technical questions. Being able to discuss your experience with these technologies confidently will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you tackled them. Think of examples where you optimised data pipelines or improved data quality. This will demonstrate your ability to handle complex data challenges, which is key for this position.
✨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 cloud migration. This knowledge will highlight your expertise and readiness to contribute to the team.
✨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.
