At a Glance
- Tasks: Build scalable data solutions and support critical business intelligence initiatives.
- Company: Global tech leader 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 55000 - 70000 £ 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.
Senior Engineer, Data Engineering in Manchester employer: MRJ Recruitment
This global technology business is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, team members benefit from hands-on experience in cutting-edge technologies within a modern AWS environment, while also enjoying the flexibility of a hybrid work model in Manchester. The company prioritises professional development and provides opportunities to work on impactful projects that shape the future of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering 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 engineering projects. We want to see how you’ve tackled real-world problems using AWS services and Python, so make it shine!
✨Tip Number 3
Ace the interview by practising common technical questions and scenarios related to data pipelines and ETL processes. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got a direct line to the hiring team, and applying through us can help ensure your application gets the attention it deserves. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Engineer, Data Engineering in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. 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 Data Engineering 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 your experience with ETL processes and data pipelines – we love that stuff!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's building scalable data solutions or optimising data processing, we want to see what you've done and how it relates to the role!
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 the role. Plus, it shows you’re keen to join our team at StudySmarter!
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, S3, Redshift, and EMR. Brush up on your Python and SQL skills too, as you'll likely be asked 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. Highlight your experience with PySpark and any large-scale data processing environments to show you can hit the ground running.
✨Understand the Business Context
Research the company’s recent migration to their own platform and how it impacts their data strategy. Being able to connect your technical skills to their business goals will impress the interviewers and show that you’re a strategic thinker.
✨Be Ready for Collaboration Questions
Since the role involves working closely with Data Scientists, Analysts, and stakeholders, prepare examples of how you've successfully collaborated in the past. Emphasise your ability to provide technical guidance to junior team members, as teamwork is key in this environment.
