At a Glance
- Tasks: Build and optimise data pipelines for a modern, cloud-first data platform.
- Company: Dynamic tech company in Manchester City Centre with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on building scalable data solutions.
- 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 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
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.
Ingegnere dei dati (f/m) 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 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 Ingegnere dei dati (f/m) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving AWS, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it gives you a chance to showcase your enthusiasm for joining our team.
We think you need these skills to ace Ingegnere dei dati (f/m) 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 cool 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 too, as these will be crucial in the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've tackled before. Think about how you built or optimised data pipelines and what impact it had on performance and scalability. This will demonstrate your hands-on experience and analytical thinking.
✨Understand Data Warehousing Concepts
Familiarise yourself with lakehouse and data warehousing solutions. Be prepared to explain how these concepts apply to real-world scenarios and how they can improve data quality and analytics capabilities.
✨Collaborate and Communicate
Since this role involves partnering with Data Science and Analytics teams, think about how you’ve successfully collaborated in the past. Be ready to discuss how you communicate technical concepts to non-technical stakeholders, as teamwork is key in this position.
