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 Dati in Manchester employer: MRJ Recruitment
This global technology business offers an exciting opportunity for a Data Engineer to thrive in a dynamic and innovative environment in Manchester. With a strong focus on employee growth, the company fosters a collaborative culture where team members are encouraged to share ideas and develop their skills, particularly in cutting-edge AWS technologies. Enjoy the benefits of flexible working arrangements, including two days per week in the office, while contributing to impactful projects that enhance customer experiences worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati 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 company is really looking for.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a technical interview or a coding challenge. We believe this is your moment to shine and demonstrate your hands-on experience with AWS and data pipelines.
✨Tip Number 3
Prepare for those behavioural questions! Think about how you've collaborated with teams or solved problems in the past. We want you to highlight your teamwork and communication skills, especially when working with Data Scientists and Analysts.
✨Tip Number 4
Don’t forget to follow up! After your interview, drop a thank-you email to express your appreciation. We find that this small gesture can leave a lasting impression and keep you top of mind for the hiring team.
We think you need these skills to ace Ingegnere Dati in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS services like Glue, Lambda, and Redshift, and don’t forget to showcase your Python and SQL skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can contribute to our team. Be sure to mention any relevant projects or experiences that demonstrate your ability to build scalable data solutions.
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. It helps us understand your hands-on experience better!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our 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 the challenges you faced and how you overcame them, especially in a cloud environment.
✨Understand the Business Context
Research the company’s products and how they leverage data to enhance customer experiences. This will help you align your answers with their goals and show that you’re genuinely interested in contributing to their success.
✨Collaborate and Communicate
Since you'll be working with Data Scientists and Analysts, practice explaining complex technical concepts in simple terms. Highlight your teamwork experience and how you’ve provided support to junior members in the past.
