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 excellence.
- 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.
BI / Data Architect in Manchester employer: Lorien
Join a forward-thinking company that values innovation and collaboration, where as a BI / 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 being part of a dynamic team that prioritises real-time analytics and machine learning, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land BI / 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 cool projects you've worked on. This is your chance to demonstrate your AWS and Python prowess in a tangible way.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around data warehousing and lakehouse concepts. Practice common interview questions and be ready to discuss how you've tackled complex data challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace BI / 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 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 building scalable data platforms and how you’ve tackled complex data challenges in the past. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data pipelines or cloud migrations, 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 discussions. 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. Think about examples where you improved data quality or optimised ETL processes. This will demonstrate your ability to handle complex data challenges effectively.
✨Understand the Company’s Data Needs
Research the company’s current data architecture and any recent projects they’ve undertaken. This will help you tailor your answers to show how your skills can directly benefit their goals, especially in building scalable data platforms.
✨Collaborative Mindset
Since this role involves partnering with Data Science and Analytics teams, be ready to discuss how you’ve worked collaboratively in the past. Highlight any experiences where teamwork led to successful project outcomes, as this will resonate well with their emphasis on a collaborative environment.
