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 a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Perfect for those who love tackling complex data challenges.
- Why this job: Shape the future of data analytics and machine learning in a collaborative environment.
- Qualifications: Strong AWS, Python, SQL skills, and experience with large-scale data pipelines.
The predicted salary is between 45000 - 60000 £ 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.
Ingegnere Dei Dati in Manchester employer: Lorien
Join a forward-thinking company in the heart of Manchester City Centre, where innovation meets collaboration. As a Data Engineer, you'll thrive in a dynamic work culture that prioritises employee growth and offers opportunities to work with cutting-edge technologies like AWS and Python. Enjoy a hybrid work model that promotes work-life balance while contributing to impactful projects that shape the future of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS, Python, and SQL. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL processes and data pipeline optimisation techniques. Practise coding challenges related to Python and SQL to ace those assessments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Ingegnere Dei Dati 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 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’re considered for this exciting opportunity in Manchester!
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 challenges you've faced in data engineering. Think of examples where you built or optimised data pipelines or improved data quality. This will demonstrate your ability to tackle complex data challenges, which is key for this position.
✨Understand Data Warehousing Concepts
Familiarise yourself with lakehouse and data warehousing concepts. Be ready to explain how you’ve implemented these solutions in past projects. This knowledge will highlight your understanding of scalable data platforms and your readiness to contribute effectively.
✨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 in a hybrid work environment.
