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- Tasks: Lead the development of cloud data solutions and manage AWS data pipelines.
- Company: Top UK data services provider with a focus on innovation.
- Benefits: Competitive salary, team management opportunities, and career advancement.
- Why this job: Shape data strategy and make a significant impact in digital services.
- Qualifications: Experience in Python, SQL, and data quality management required.
- Other info: UK residency needed for security clearance; dynamic team environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data services provider in the UK is seeking two Lead Data Engineers to develop and manage cloud-based data solutions. The roles heavily revolve around AWS data pipelines, DevOps automation, and stakeholder engagement.
Candidates should be experienced in Python, SQL, and have solid data quality management skills. This position requires UK residency for security clearance and offers the opportunity to manage a team and shape the data strategy across various digital services.
Lead Data Engineer – Cloud Data Pipelines & Analytics in Salford employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer – Cloud Data Pipelines & Analytics in Salford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and cloud solutions. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving Python, SQL, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your DevOps knowledge and stakeholder engagement strategies. Be ready to discuss how you've managed teams and shaped data strategies in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and aspirations. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Data Engineer – Cloud Data Pipelines & Analytics in Salford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS data pipelines, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Team Management Skills: Since this role involves managing a team, make sure to mention any leadership experiences you have. We’re looking for someone who can inspire and guide others, so share examples of how you've done this in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Manchester Digital
✨Know Your Tech Inside Out
Make sure you brush up on your AWS data pipelines and DevOps automation skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or write a query on the spot, so practice common scenarios and be ready to explain your thought process.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, think of examples where you've successfully communicated complex data concepts to non-technical audiences. Highlight your ability to bridge the gap between technical teams and business needs.
✨Leadership and Team Management
As you'll be managing a team, be prepared to discuss your leadership style and experiences. Share examples of how you've motivated your team, handled conflicts, or contributed to shaping a data strategy in previous roles.
