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- Tasks: Design and build automated data pipelines for AI and analytics solutions.
- Company: Join a global consulting firm making real-world impact with data.
- Benefits: Hybrid work, ongoing training, and clear career progression opportunities.
- Why this job: Blend engineering skills with impactful projects in a collaborative environment.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills required.
- Other info: Perfect for engineers eager to learn and solve real business problems.
The predicted salary is between 36000 - 60000 £ per year.
London (Hybrid 2 days) | Contract/Permanent | 🌍 Global Consulting Environment
Build the data foundations behind AI, automation, and real-world impact. We’re hiring a Data Engineer to join a fast-growing digital and data practice working with a major global enterprise client operating across energy, manufacturing, chemicals, infrastructure, automotive, and commodities.
This is a hands-on engineering role where you’ll design and run the data systems that power analytics, automation, and AI-driven solutions — working alongside consultants, analysts, and data scientists in a true delivery-focused environment. No prior experience with our specific data platform is required. If you’re a strong engineer who enjoys learning new tools and solving real business problems with data, we’ll get you there.
What you’ll be doing:- Designing and building robust, automated data pipelines on a modern cloud data platform
- Transforming and integrating data from multiple sources — databases, APIs, files, and unstructured formats
- Owning and improving existing data solutions: monitoring, debugging, enhancing, and scaling them
- Developing back-end logic, APIs, and data services that support analytics and AI use cases
- Preparing high-quality datasets for dashboards, advanced analytics, and machine learning
- Collaborating closely with consultants, analysts, and data scientists to deliver end-to-end solutions
- Contributing to proofs of concept, client roadmaps, and technical proposals
- Supporting data governance, security, and best practices
- Mentoring junior engineers and sharing knowledge across the team
- 3+ years working as a Data Engineer or in a similar data-focused engineering role
- Strong Python and SQL skills
- Experience building and orchestrating data pipelines (Airflow or similar tools)
- Hands-on work with cloud platforms (AWS and/or Azure)
- Solid understanding of databases, data warehouses, and data lakes
- Experience integrating systems via APIs and back-end services
- Comfortable working with version control and CI/CD workflows
- Confident communicator with business-level English
- Exposure to analytics or AI-driven solutions
- Experience working with unstructured data (text, PDFs, web data)
- Familiarity with web frameworks or lightweight front ends
- Power BI, data visualisation, or analytics modelling experience
- Awareness of machine learning, LLMs, or vector databases
- Agile delivery experience or consulting background
- Work with a global consulting organisation delivering data solutions at scale
- Exposure to enterprise-grade data and AI platforms
- A role that blends deep engineering with real business impact
- Ongoing training and support to learn new tools and technologies
- Clear progression toward Senior Data Engineer and beyond
- Collaborative, international team environment
- Data Engineers who enjoy building things that actually get used
- Engineers ready to step into a broader, more impactful role
- Professionals curious about AI, automation, and modern data platforms
- People who like combining technical depth with client-facing problem solving
Interested? Apply now with your latest CV showing all your relevant experience and email your CV with daily/rate/salary expectations, availability to interview and start to marina.economidou@templeton-recruitment.com
Data Engineer – Modern Data & AI Platforms in City of London employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Modern Data & AI Platforms in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, SQL, and cloud platforms. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or solving data problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer – Modern Data & AI Platforms in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Data Engineer role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your Python, SQL, and cloud platform experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and how you’ve tackled real-world problems in the past. Keep it engaging and relevant!
Showcase Your Projects: If you’ve worked on any cool data projects, make sure to mention them! Whether it’s building data pipelines or integrating systems, we love seeing practical examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Familiarise yourself with data pipeline orchestration tools like Airflow, as well as cloud platforms such as AWS or Azure. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of how you've tackled real business problems using data. Think about times when you designed robust data pipelines or improved existing solutions. This will demonstrate your ability to apply your technical skills in a practical setting, which is key for this role.
✨Communicate Clearly
Since this role involves collaboration with consultants, analysts, and data scientists, practice explaining complex technical concepts in simple terms. Being a confident communicator will help you stand out, especially when discussing how your work impacts business outcomes.
✨Emphasise Continuous Learning
Express your enthusiasm for learning new tools and technologies. Mention any recent courses or projects you've undertaken to expand your skill set, particularly in areas like AI or analytics. This shows that you're not just a strong engineer but also someone who is eager to grow and adapt in a fast-paced environment.
