Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of data engineers and manage exciting data engineering projects.
- Company: Global consultancy with a focus on AI-driven data solutions.
- Benefits: Competitive salary, mentorship opportunities, and collaboration with Fortune 500 clients.
- Why this job: Advance your career while working on innovative data platforms in a supportive environment.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills, and leadership experience.
- Other info: Join a dynamic team and make a real impact in the data industry.
The predicted salary is between 48000 - 72000 £ per year.
A global consultancy is looking for a Data Engineering Manager to oversee and mentor a team of data engineers in Belfast, UK. This role involves managing complex data engineering projects and designing end-to-end data solutions.
Candidates should have:
- 5+ years of experience in building data pipelines
- Strong skills in SQL and Python
- A proven track record in team leadership
This is an excellent opportunity for those looking to advance their career in a collaborative environment with Fortune 500 clients.
Data Engineering Lead - AI-Driven Data Platforms in Belfast employer: WomenTech Network
Contact Detail:
WomenTech Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead - AI-Driven Data Platforms in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at consultancies or with Fortune 500 clients. 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 best data pipelines and projects. This is your chance to demonstrate your SQL and Python prowess, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle complex projects and be ready to discuss your leadership style. We want to see how you can manage a team and deliver results!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Engineering Lead - AI-Driven Data Platforms in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building data pipelines and your leadership skills. We want to see how your background aligns with the role of Data Engineering Lead, so don’t be shy about showcasing your relevant projects!
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 candidates who can connect their personal experiences to the role.
Showcase Your Technical Skills: Since this role requires strong SQL and Python skills, make sure to mention specific projects where you’ve used these technologies. We’re looking for concrete examples that demonstrate your expertise and problem-solving abilities.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at WomenTech Network
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built data pipelines, as well as any challenges you faced and how you overcame them. This will show your technical expertise and problem-solving abilities.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, be prepared to share examples of how you've led teams in the past. Discuss your approach to team management, how you handle conflicts, and ways you've fostered collaboration. This will demonstrate that you're not just a tech whiz but also a great leader.
✨Understand the Company’s Vision
Research the consultancy and their AI-driven data platforms. Familiarise yourself with their clients and projects. This knowledge will help you tailor your answers to align with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful ones that reflect your interest in the role and the company. For example, ask about their current data challenges or how they envision the future of data engineering within their organisation.
