At a Glance
- Tasks: Build and scale a modern, cloud-first data platform with high-volume data systems.
- Company: Dynamic tech company located in Manchester City Centre.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and data quality.
- Why this job: Shape architecture and enable real-time analytics while solving 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
Required skills:
- 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.
IT Data Architect in Manchester employer: Lorien
Join a forward-thinking company that values innovation and collaboration, where as an IT Data Architect in the vibrant Manchester City Centre, you will have the opportunity to work on cutting-edge cloud technologies and high-volume data systems. Our supportive work culture fosters continuous learning and professional growth, offering you the chance to enhance your skills while contributing to impactful projects. Enjoy the unique advantage of working in a dynamic urban environment that encourages creativity and teamwork, making it an excellent place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect 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, or 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 knowledge and be ready to discuss your experience with Python, SQL, and PySpark. Practice common data engineering scenarios to show you're the right fit.
✨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 it easier for us to find your application and get back to you quickly.
We think you need these skills to ace IT Data Architect 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 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, as these will likely come up during technical questions. Being able to discuss your experience with large-scale data pipelines and PySpark will definitely give you an edge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to solve complex data challenges effectively.
✨Understand Data Warehousing Concepts
Familiarise yourself with lakehouse and data warehousing concepts, as these are crucial for the role. Be ready to explain how you’ve implemented these solutions in past projects and how they improved data quality and performance.
✨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 different teams to achieve common goals.
