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- Tasks: Design and maintain ETL pipelines, optimise network performance, and mentor junior engineers.
- Company: Dynamic telecommunication company based in Manchester with a data-driven culture.
- Benefits: Flexible hours, 27 days leave, quarterly bonuses, and private healthcare.
- Why this job: Join a tech-savvy team and tackle complex challenges while making a real impact.
- Qualifications: 5+ years in data engineering, strong skills in Java, Python, and cloud platforms.
- Other info: Hybrid role with excellent professional development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Atlantic Talent Recruitment is proud to be partnered with a dynamic telecommunication company based out of Manchester, UK. This is a very technical role, operating within a data-driven culture. The core focus of the role lies in optimising network performance and reliability, in addition to customer experience management and the development of fraud detection systems.
Role Responsibilities:
- This is a hybrid role, and will require a minimum of 2 days in the Manchester office each week.
- Design, build, and maintain ETL pipelines.
- Collaborate with data scientists to operationalise ML models, and data architects and analysts to determine design needs.
- Develop real-time data processing solutions using Apache Kafka.
- Provide guidance and mentorship to junior engineers within the team.
- Ensure data compliance and security needs are met during system development and be available to troubleshoot data management issues and offer assistance across teams.
Essential Skills and Qualifications:
- A minimum of 5 years' experience working in a data engineering, data system development, or a similar role.
- Bachelor's and MSc in Computer Science, Data Science, or a related field.
- Proficient in data warehousing, relational databases, and ETL technologies.
- Confident using cloud platform AWS, strong programming skills in Java and Python, and working knowledge of Apache Kafka.
- Experience implementing security measures for data at rest and in transit.
- Excellent problem-solving abilities and a passion for tackling complex technical challenges.
As the successful candidate, you will enjoy a comprehensive benefits package designed to support your professional and personal growth, including:
- Flexible working hours and a hybrid working environment.
- 27 days of annual leave plus public holidays.
- Quarterly bonus scheme, based on company and personal performance.
- Popular electric vehicle lease scheme.
- Private health care upon successful completion of probation.
- Professional development and training opportunities.
- The necessary technology, including a laptop and additional equipment, to create an optimal home working environment.
Senior Data Engineer 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 in Manchester
✨Tip Number 1
Network, network, network! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL pipelines or real-time data processing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t be shy about reaching out directly to companies you’re interested in, like the one we’re partnered with. A quick email or LinkedIn message expressing your interest can go a long way. Plus, applying through our website gives you a better chance of being noticed!
✨Tip Number 4
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice common data engineering scenarios and be ready to discuss how you’ve tackled complex challenges in the past. Confidence is key!
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL pipelines, data warehousing, and any relevant projects that showcase your skills in Java, Python, and Apache Kafka.
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 our data-driven culture. Don’t forget to mention your problem-solving abilities!
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your proficiency in AWS, data compliance, and security measures. We want to see how you can contribute to optimising network performance and reliability.
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 from us!
How to prepare for a job interview at Atlantic Talent Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in data warehousing, ETL technologies, and programming languages like Java and Python. Be ready to discuss your experience with Apache Kafka and how you've used it in real-time data processing.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical challenges you've tackled in the past. Highlight your problem-solving abilities and how you've optimised network performance or improved customer experience in previous roles.
✨Understand the Company Culture
Research the telecommunication company’s values and their data-driven culture. Be prepared to discuss how you can contribute to their goals, particularly in mentoring junior engineers and ensuring data compliance and security.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about their current projects, the tools they use, and how they measure success in their data engineering efforts. This shows your genuine interest and helps you assess if it's the right fit for you.
