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 perfect for tackling complex data challenges.
- Why this job: Shape the future of data analytics and machine learning with cutting-edge technology.
- Qualifications: Strong skills in AWS, Python, SQL, and experience with large-scale data systems.
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.
Data & BI Engineer in Manchester employer: Lorien
Join our dynamic team in the heart of Manchester City Centre, where we foster a collaborative work culture that encourages innovation and professional growth. As a Data & BI Engineer, you'll have the opportunity to work with cutting-edge technologies and contribute to exciting projects that shape the future of data analytics. We offer competitive benefits, flexible working arrangements, and a commitment to your career development, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & BI Engineer 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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Data & BI 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 excited 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 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.
