At a Glance
- Tasks: Design and develop robust data pipelines and ETL processes using AWS services.
- Company: Join a global tech innovator with a prestigious brand.
- Benefits: Competitive salary, pension, hybrid work, and unlimited career progression.
- Other info: Dynamic team environment with excellent training and development opportunities.
- Why this job: Make a real impact on data infrastructure and business intelligence.
- Qualifications: Strong AWS skills, Python, SQL, and experience in data engineering.
The predicted salary is between 45000 - 65000 £ per year.
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Data Engineer to become an integral part of their Data Engineering Team, spearheading the evolution of the company's data infrastructure.
You will be developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation and enabling crucial business intelligence. We are seeking a Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services.
You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance to Juniors.
The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data warehousing solutions. Agile experience is also key, as are excellent communication skills to be able to effectively communicate with both technical and non-technical stakeholders.
We are keen to hear from talented Data Engineer candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Manchester (hybrid)
Salary: £45k - £65k + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
Data Engineer (AWS) in Warrington employer: Noir
Join a prestigious global innovator in technology as a Data Engineer in Manchester, where you'll play a pivotal role in transforming the company's data infrastructure. With a strong emphasis on employee growth, the company offers extensive training and unlimited career progression for top performers, all within a collaborative and dynamic work culture that values innovation and excellence. Enjoy the benefits of a hybrid working model, competitive salary, and a supportive environment that encourages you to take ownership of your projects and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS) in Warrington
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have a lead on that perfect job!
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your AWS skills, Python prowess, and any cool data pipelines you’ve built. This will make you stand out when chatting with potential employers.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, especially around AWS services and ETL processes. Confidence is key, so get comfortable talking about your expertise!
✨Apply Through Us!
We’ve got your back! Apply for the Data Engineer role directly through our website to ensure your application gets the attention it deserves. Plus, we’re always here to help you navigate the job search process!
We think you need these skills to ace Data Engineer (AWS) in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS services like Glue, Lambda, and S3. We want to see how your skills in Python and SQL fit into the role of a Data Engineer, so don’t hold back!
Showcase Your Projects:Include any relevant projects where you've developed data pipelines or worked with ETL processes. We love seeing real-world applications of your skills, especially if they involve data lakehouse architectures or automation.
Communicate Clearly:Since you'll be working with both technical and non-technical folks, make sure your application reflects your ability to communicate complex ideas simply. We appreciate clarity and conciseness in your writing!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on this amazing opportunity!
How to prepare for a job interview at Noir
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially services like AWS Glue, Lambda, and S3. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the technology.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience with ETL processes and data pipeline orchestration. Have specific examples ready that demonstrate your ability to design and maintain robust data pipelines, as well as any challenges you faced and how you overcame them.
✨Communicate Clearly with All Stakeholders
Since the role requires interaction with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will highlight your communication skills and your ability to bridge the gap between different teams.
✨Emphasise Your Agile Experience
Be prepared to discuss your experience working in Agile environments. Share examples of how you've contributed to team sprints or adapted to changing requirements, as this will demonstrate your flexibility and teamwork skills.
