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- Tasks: Design enterprise data architecture and lead impactful AI solutions.
- Company: Global engineering consultancy focused on innovation and social impact.
- Benefits: Flexible work environment with career development opportunities.
- Why this job: Make a difference in AI while mentoring a dynamic team.
- Qualifications: Extensive data engineering experience and Azure expertise required.
- Other info: Collaborative culture that supports innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
A global engineering consultancy is seeking a Senior Data Engineer in London to design enterprise data architecture, focusing on impactful AI solutions. The ideal candidate must possess extensive data engineering experience and expertise in Azure, with strong stakeholder engagement skills. You will work in a collaborative environment, mentoring a small team and leading data architecture strategies. This role supports innovation and social impact, while offering flexibility and career development opportunities.
Senior Data Engineer & Team Lead - Azure | AI/Analytics in London employer: Mott MacDonald
Contact Detail:
Mott MacDonald Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer & Team Lead - Azure | AI/Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or in AI/Analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and stakeholder engagement skills. Practice common interview questions related to data architecture and be ready to discuss how you've led teams in the past.
✨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 get noticed by our hiring team.
We think you need these skills to ace Senior Data Engineer & Team Lead - Azure | AI/Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive data engineering experience and expertise in Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how you can contribute to our collaborative environment. Let us know how you’ve engaged with stakeholders in the past.
Showcase Leadership Skills: Since this role involves mentoring a small team, make sure to highlight any leadership experiences you have. We love to see examples of how you've guided others and led data architecture strategies in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Mott MacDonald
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Be ready to discuss specific projects where you've implemented Azure solutions, and how they contributed to data architecture and AI outcomes.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've successfully led teams in the past. Highlight your approach to fostering collaboration and innovation within your team.
✨Engage with Stakeholders
Demonstrate your strong stakeholder engagement skills by preparing to discuss how you've effectively communicated complex data concepts to non-technical stakeholders. This will show your ability to bridge the gap between technical and business needs.
✨Align with Their Values
Research the company's commitment to social impact and innovation. Be ready to share your thoughts on how data engineering can drive positive change, and how you can contribute to their mission in this area.
