At a Glance
- Tasks: Lead the evolution of data infrastructure and develop real-time data solutions.
- Company: Join a global tech innovator with a prestigious brand.
- Benefits: Competitive salary, pension, hybrid work, and unlimited career progression.
- Other info: Great training opportunities and a supportive team culture.
- Why this job: Make a real impact on data architecture and automation in a dynamic environment.
- Qualifications: Strong AWS skills, Python, SQL, and experience with data pipelines.
The predicted salary is between 60000 - 80000 £ 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 Senior 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 Senior 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 Senior 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: £60k - £80k + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
Senior Data Engineer (AWS) in Warrington employer: Noir
Join a prestigious global innovator in technology as a Senior Data Engineer in Manchester, where you'll play a pivotal role in shaping the future of data infrastructure. The company fosters a dynamic work culture that prioritises employee growth through extensive training and unlimited career progression opportunities, ensuring that your contributions are recognised and rewarded. With a hybrid working model and a competitive salary package, this is an exceptional opportunity for those seeking meaningful and impactful employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 a Senior Data Engineer role. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AWS services like Glue and Lambda. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with data pipelines and ETL processes. Practice common interview questions and think about how you can relate your past experiences to the job description.
✨Apply Through Our Website
We’ve got some amazing opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Senior Data Engineer role. We’re excited to see what you bring to the table!
We think you need these skills to ace Senior 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 align with the role, so don’t be shy about showcasing your expertise in Python, SQL, and data pipelines!
Showcase Your Projects:Include specific examples of projects where you've developed data integrations or real-time solutions. We love seeing how you've tackled challenges and improved automation in your previous roles!
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 any updates from us!
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, S3, and Redshift. 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 designing and maintaining data pipelines and ETL processes. Have specific examples ready that highlight your problem-solving skills and how you've improved data quality and integrity in previous roles.
✨Communicate Clearly with All Stakeholders
Since excellent communication is key, practice explaining complex technical concepts in simple terms. Think about how you've successfully communicated with both technical and non-technical team members in the past, and be ready to share those experiences.
✨Emphasise Your Agile Experience
Be prepared to discuss your experience working in Agile environments. Highlight any specific methodologies you've used and how they contributed to successful project outcomes. This will demonstrate your adaptability and teamwork skills, which are crucial for the role.
