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- Tasks: Design ETL pipelines and collaborate with data scientists to enhance network performance.
- Company: Dynamic recruitment agency in Manchester with a focus on innovation.
- Benefits: Flexible hours, 27 days of leave, and a quarterly bonus scheme.
- Why this job: Join a hybrid role that prioritises personal and professional growth.
- Qualifications: Over 5 years of experience in Data Engineering and relevant degrees.
- Other info: Exciting opportunity to work with cutting-edge technologies like Apache Kafka.
The predicted salary is between 43200 - 72000 £ per year.
A recruitment agency in Manchester seeks a Data Engineer to enhance network performance and customer experience.
Responsibilities include:
- Designing ETL pipelines
- Collaborating with data scientists
- Developing solutions using Apache Kafka
Candidates should possess over 5 years of experience and relevant degrees in Computer or Data Science.
This hybrid role offers flexible hours, 27 days of leave, and a quarterly bonus scheme, focusing on personal and professional growth.
Senior Data Engineer-Real-Time ETL, Kafka & ML Ops (Hybrid) in Manchester employer: Atlantic Talent Recruitment
Contact Detail:
Atlantic Talent Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer-Real-Time ETL, Kafka & ML Ops (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any projects involving Apache Kafka. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with real-time data processing and ML Ops. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles as they come in.
We think you need these skills to ace Senior Data Engineer-Real-Time ETL, Kafka & ML Ops (Hybrid) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL pipelines, Apache Kafka, and any relevant machine learning projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing network performance and customer experience. Let us know how your background makes you the perfect fit for this hybrid role.
Showcase Your Collaboration Skills: Since you'll be working closely with data scientists, highlight any past experiences where you've collaborated on projects. We love seeing teamwork in action, so share examples that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Atlantic Talent Recruitment
✨Know Your ETL Inside Out
Make sure you can discuss your experience with designing ETL pipelines in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, especially in real-time scenarios.
✨Showcase Your Kafka Knowledge
Since this role involves Apache Kafka, brush up on your understanding of its architecture and use cases. Prepare to explain how you've implemented Kafka in past projects and the impact it had on performance.
✨Collaborate Like a Pro
Highlight your teamwork skills, especially when working with data scientists. Think of instances where collaboration led to successful outcomes and be prepared to discuss how you communicate complex data concepts to non-technical team members.
✨Emphasise Continuous Learning
This role focuses on personal and professional growth, so be ready to talk about how you stay updated with industry trends and technologies. Mention any relevant courses or certifications you've pursued recently to show your commitment to growth.
