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For Companies At a Glance
- Tasks: Lead the implementation of modern data systems and AI applications.
- Company: Join a fast-growing consultancy transforming enterprises with data and AI.
- Benefits: Competitive salary, bonuses, personal learning budget, and flexible gear options.
- Why this job: Make a real impact in a collaborative environment with top industry talent.
- Qualifications: Experience in data engineering, software development, and cloud platforms like AWS.
- Other info: Dynamic start-up culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About Mesh-AI
We’re a transformation consultancy and we exist to reimagine how enterprises operate, making data and AI their competitive advantage. We turn enterprises into data-driven and AI enabled organisations, unleashing business growth and accelerating outcomes. We’re building an open, collaborative culture and we are always on the lookout for top talent to join us in our next phase of growth. If you’re interested in working on business-defining engagements with some of the brightest minds in the industry, apply below!
Opportunity
We recognise “data” is broad, that’s why we’re keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you.
Responsibilities
- You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications.
- Solve end to end data problems/opportunities at scale.
- Contributing to solution architecture & design.
- Working with our customers to take them on a journey to success bringing their data strategy to life.
- Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions.
- Contribute to internal initiatives such as; blogs, technical forums.
Requirements
- Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them.
- Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production.
- Worked with AWS as a cloud platform.
- Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation).
- Software development experience with one or more languages (e.g. Python, Java, Scala, Go).
- Pragmatic approach to solving problems.
Nice to have: keen interest in modern AI/ML techniques.
Why Mesh-AI
- Fast-growing start-up organisation with huge opportunity for career growth.
- Highly competitive salary package along with company bonus.
- A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one!
- Financially backed business meaning security and support for new initiatives and global market expansion.
- Pick your own Gear! Macbooks, PCs, Accessories!
- Drive your development with a personal learning budget.
Want to know more? Get in touch with careers@mesh-ai.com. Otherwise apply here.
Lead Data Engineer in London employer: Mesh-AI
Contact Detail:
Mesh-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Mesh-AI. A friendly chat can open doors that a CV just can't. Use LinkedIn to connect and engage with their posts.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise. When you get the chance to chat with recruiters or during interviews, share your work and how it relates to what Mesh-AI is doing.
✨Tip Number 3
Be ready for technical discussions! Brush up on modern data technologies and be prepared to discuss how you've applied them in real-world scenarios. This will show that you're not just a theory person but someone who can deliver results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Mesh-AI team.
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with modern data technologies and cloud platforms like AWS, as well as any relevant software engineering practices you've mastered.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of how you've solved end-to-end data problems in the past and how you can contribute to our collaborative culture at Mesh-AI.
Showcase Your Projects: If you've worked on any notable projects involving data engineering or AI applications, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Mesh-AI
✨Know Your Data Inside Out
Make sure you have a solid understanding of modern data engineering concepts, especially distributed systems and event-based architectures. Brush up on your experience with ETL tools like Kafka and Flink, as well as data storage solutions such as Snowflake or Redshift. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled end-to-end data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your pragmatic approach to solving complex issues, which is key for a consultative role.
✨Familiarise Yourself with AWS and DevOps Practices
Since the role requires experience with AWS and DevOps best practices, make sure you can talk about your hands-on experience with these technologies. Be ready to explain how you've applied CI/CD principles in your previous projects, as this will highlight your technical expertise and readiness for the position.
✨Engage with the Company Culture
Research Mesh-AI's collaborative culture and be prepared to discuss how you can contribute to it. Think about how your diverse background and experiences can add value to their team. Showing that you align with their values will set you apart from other candidates.
