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 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, you will have the opportunity to work with cutting-edge AWS technologies while contributing to impactful data solutions. Located in Manchester, the company promotes a flexible work environment, allowing for a healthy work-life balance with just two days in the office each week.
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 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 quick thank-you email to express your appreciation. We find that this little 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 Dei Dati 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've worked with.
Showcase Your Projects:If you've built any data pipelines or worked on ETL processes, make sure to include those in your application. We love seeing real-world examples of your work, especially if they involve AWS services like Glue or Redshift!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
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 the role involves working with Data Scientists and Analysts, be prepared to discuss how you’ve collaborated in the past. Highlight your communication skills and how you can provide technical guidance to junior team members.
