At a Glance
- Tasks: Build scalable data solutions and support critical business intelligence initiatives.
- Company: Global tech company focused on innovation and speed.
- Benefits: Flexible work schedule, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong career advancement potential.
- Why this job: Join a dynamic team and make an impact with cutting-edge data technologies.
- Qualifications: Experience with AWS, Python, SQL, and data pipeline development.
The predicted salary is between 50000 - 60000 £ per year.
This global technology business has just completed a massive migration to their own platform, and now, the stage is set for scale, innovation, and speed. Products are being built at pace, technology is unlocking new capabilities, and the experiences delivered to customers worldwide are next-level.
They're looking for a Data Engineer to become an integral part of their Data Engineering Team. Working within a modern AWS environment, you will be responsible for building scalable data solutions, improving automation, and supporting critical business intelligence initiatives.
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop data solutions using AWS services including Glue, Lambda, S3, Redshift, and EMR.
- Support the migration of our existing SQL Server data warehouse to AWS.
- Contribute to the design and implementation of modern data lakehouse and data warehousing architectures.
- Build and optimise real-time and batch data processing solutions using PySpark and related technologies.
- Collaborate with Data Scientists, Analysts, and business stakeholders to deliver data-driven solutions.
- Provide technical guidance and support to junior team members when required.
Strong hands-on experience with AWS services such as Glue, Lambda, S3, Redshift, and EMR. Proven experience building and maintaining data pipelines and ETL frameworks. Strong Python and SQL development skills. Experience working with PySpark and large-scale data processing environments. Solid understanding of data warehousing concepts and best practices. Experience working within Agile delivery environments. Understanding of data governance, security, and privacy best practices.
Ready to join a tech team that’s building for millions?
Ingegnere dei dati (f/m) in Manchester employer: MRJ Recruitment
This global technology business offers an exciting opportunity for a Data Engineer in Manchester, where innovation and speed are at the forefront of their operations. With a strong focus on employee growth, you will work in a collaborative environment that encourages creativity and technical excellence, while benefiting from a modern AWS setup and the chance to contribute to cutting-edge data solutions. The company values its employees, providing a supportive culture and opportunities for professional development, making it an excellent employer for those seeking meaningful and rewarding work.
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 current employees on LinkedIn or attend industry meetups. We know that personal connections can give you the inside scoop on what the team is really like and might even get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data projects. We want to see your hands-on experience with AWS services and data pipelines, so make it easy for them to see what you can bring to the table.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. We recommend brushing up on your problem-solving skills and thinking about how you've tackled challenges in past projects. This will show them you're not just book-smart but also practical.
✨Tip Number 4
Apply through our website! We’ve got the inside track on this role and can help you stand out. Plus, applying directly shows your enthusiasm and commitment to joining their innovative 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 reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with AWS services and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention specific technologies like PySpark and SQL that you’re proficient in.
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's building data pipelines or optimising ETL processes, we love seeing real-world examples of your work!
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 updates. Plus, it shows you’re keen to join our tech team!
How to prepare for a job interview at MRJ Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the AWS services mentioned in the job description, like Glue, Lambda, and Redshift. Brush up on your Python and SQL skills too, as they’ll likely ask you to demonstrate your knowledge during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built scalable data pipelines or worked with ETL processes. Be ready to explain your role, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Understand the Business Context
Research the company’s products and how they leverage data to enhance customer experiences. Being able to connect your technical skills to their business goals will make you stand out as a candidate who understands the bigger picture.
✨Be Ready for Collaboration Questions
Since the role involves working with Data Scientists and Analysts, expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team setting, especially in Agile environments, to highlight your interpersonal skills.
