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 environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with strong support for career advancement.
- 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 60000 - 80000 £ 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?
Data Engineer - SQL Server (*) 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, they provide opportunities to work with cutting-edge technologies in a modern AWS environment, while also supporting a healthy work-life balance with flexible working arrangements. Joining this team means being part of a forward-thinking organisation that values your contributions and invests in your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - SQL Server (*) 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 a great way to demonstrate your expertise with AWS services and data pipelines.
✨Tip Number 3
Prepare for behavioural questions! Think about how you've collaborated with teams or solved problems in the past. We want you to highlight your experience working in Agile environments and your ability to support junior team members.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got all the latest job openings, and applying directly can sometimes give you an edge. Plus, we’re here to help you every step of the way!
We think you need these skills to ace Data Engineer - SQL Server (*) 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, SQL, and data pipelines. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built scalable data solutions or worked with ETL processes. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
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 SQL and Python skills, 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 data pipelines or worked with ETL processes. Highlight any experience with PySpark and how you’ve optimised data processing solutions. Real-world examples will make you stand out!
✨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 show that you’re not just a techie but also a strategic thinker.
✨Be Ready for Collaboration Questions
Since you'll be working closely with Data Scientists and Analysts, prepare for questions about teamwork and collaboration. Think of examples where you’ve successfully worked in an Agile environment and supported junior team members.
