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For Companies At a Glance
- Tasks: Implement modern data systems and AI applications while solving end-to-end data challenges.
- Company: Join a fast-growing AI-native consultancy trusted by top enterprises worldwide.
- Benefits: Enjoy a competitive salary, annual bonus, and a generous training budget.
- Why this job: Make a real impact in the AI space and grow your career with cutting-edge technology.
- Qualifications: Experience in data engineering, software development, and cloud platforms is essential.
- Other info: Be part of a strong engineering community with excellent career growth opportunities.
The predicted salary is between 60000 - 80000 £ per year.
About Indicium AI
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.
Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.
We recognise “data” is broad, that’s why we’re keen to speak to those from a data background and cloud natives with experience in building software of high quality standards.
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
- Working with our customers to take them on a journey to success bringing their data strategy to life
- Engage with your cross-functional squad during the implementation of end-to-end solutions
- Drive your own development using the tools and support from Indicium AI to learn new skills
Experience required:
- Building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc)
- Software development experience with one or more languages (e.g. Python, Java, C#)
- Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production
- Worked with one or more cloud platforms and services (AWS, Azure, GCP)
- Hands-on experience with modern data technologies and tools
- Keen interest in modern AI/ML techniques
- AWS Cloud Practitioner, Azure Fundamentals, etc.
Why Indicium AI:
- £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training
- Fast-growing start-up organisation with huge opportunity for career growth
- Competitive salary package along with company annual bonus
- Strong engineering community
Senior Engineer, Data Engineering in London employer: Indicium AI
Contact Detail:
Indicium AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Indicium AI. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Engineer role. Highlight your data engineering expertise and any relevant projects you've worked on, especially those involving modern data systems and cloud platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission at Indicium AI. Share specific examples of your work that demonstrate your problem-solving skills and technical prowess.
Showcase Your Technical Skills: In your application, don't shy away from detailing your experience with programming languages like Python or Java, and any hands-on work with cloud services. We want to see your technical chops shine through!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it’s super straightforward!
How to prepare for a job interview at Indicium AI
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering techniques, especially around distributed systems and data streaming. Be ready to discuss your hands-on experience with modern data technologies and how you've implemented end-to-end data-centric systems in the past.
✨Showcase Your Software Skills
Prepare to talk about your software development experience, particularly with languages like Python, Java, or C#. Highlight any projects where you've applied solid software engineering principles and DevOps practices, as this will resonate well with the interviewers.
✨Familiarise Yourself with Cloud Platforms
Since Indicium AI works with major cloud platforms like AWS, Azure, and GCP, it’s crucial to demonstrate your familiarity with these services. If you have certifications like AWS Cloud Practitioner or Azure Fundamentals, make sure to mention them!
✨Engage and Ask Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and data strategy. This shows your genuine interest and helps you gauge if the company aligns with your career goals.