At a Glance
- Tasks: Build scalable data solutions and support critical business intelligence initiatives.
- Company: Global tech business 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 AWS 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.
We’ve partnered with this company on multiple engineering hires, giving us insider knowledge of their teams, culture, and what makes candidates stand out. Ready to join a tech team that’s building for millions?
IT Data Architect 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 enjoying flexible working arrangements in Manchester. The company prioritises professional development and provides opportunities to work on impactful projects that shape the future of data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect 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 values and might even lead to a referral.
✨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 demonstrating your expertise with AWS services and data pipelines can really set you apart from the crowd.
✨Tip Number 3
Prepare for behavioural questions! Companies want to see if you fit their culture. We suggest practising answers that highlight your teamwork and problem-solving skills, especially in Agile environments.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a thank-you email to express your appreciation. We think 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 IT Data Architect in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the IT Data Architect role. Highlight your experience with AWS services like Glue, Lambda, and Redshift, and showcase any relevant projects that demonstrate your skills in building scalable data solutions.
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 the company's goals. Mention specific technologies you've worked with and how they relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or optimising ETL processes, real-world examples can really set you apart from other candidates.
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, we love seeing applications come directly from our site!
How to prepare for a job interview at MRJ Recruitment
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like Glue, Lambda, S3, Redshift, and EMR. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of the tech stack they'll be using.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience building and maintaining data pipelines and ETL frameworks. Have specific examples ready that highlight your problem-solving skills and how you've optimised processes in previous roles.
✨Demonstrate Collaboration
This role involves working closely with Data Scientists, Analysts, and business stakeholders. Think of examples where you've successfully collaborated with others to deliver data-driven solutions, and be ready to share how you can contribute to a team environment.
✨Understand Agile Methodologies
Since the company operates within Agile delivery environments, it’s crucial to understand Agile principles. Be prepared to discuss your experience working in Agile teams and how you adapt to changing requirements while still delivering high-quality results.
