At a Glance
- Tasks: Build and maintain data pipelines using SQL and Python for AI-powered products.
- Company: Join an innovative AI-first SaaS business in London with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and excellent learning opportunities.
- Other info: Dynamic team environment with exposure to modern cloud and AI technologies.
- Why this job: Make a real impact on cutting-edge analytics and decision intelligence solutions.
- Qualifications: Experience in Data Engineering, strong SQL and Python skills required.
We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors.
What You'll Be Doing
- Building and maintaining data pipelines using SQL and Python
- Developing data models for analytics and AI applications
- Working with cloud platforms including Azure, AWS or GCP
- Supporting CI/CD processes and automated deployments
- Implementing data quality, monitoring and validation processes
- Collaborating with Product, Engineering and AI teams on new product development
What We're Looking For
- Commercial Data Engineering experience
- Strong SQL skills
- Python experience
- Exposure to Azure, AWS or GCP
- Understanding of data modelling and data warehousing principles
- Experience working with Git and CI/CD processes
- Strong communication skills and a collaborative mindset
Nice to Have
- SaaS or product development experience
- Exposure to AI or machine learning environments
- Experience with Databricks, Fabric or modern cloud data platforms
The Opportunity
- Work on AI-powered products rather than internal reporting
- Join a collaborative product engineering team
- Exposure to modern cloud and AI technologies
- Opportunity to influence products used by real customers
- Excellent environment for learning and development
For more information make an application today!
Data Engineer in London employer: Datatech
Join a forward-thinking AI-first SaaS company in London, where you will be part of a dynamic team dedicated to developing cutting-edge analytics and decision intelligence products. With a strong emphasis on collaboration, employee growth, and exposure to modern cloud technologies, this role offers a unique opportunity to work on impactful projects that shape the future of AI solutions. Enjoy a hybrid work model, competitive salary, and a culture that prioritises learning and development, making it an excellent place for aspiring Data Engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your SQL and Python skills—show them! Create a portfolio of projects that highlight your experience with data pipelines and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, and be ready to discuss your past experiences with CI/CD processes and data modelling. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your SQL and Python skills, and any experience with cloud platforms like Azure, AWS, or GCP. We want to see how your background aligns with what we're looking for!
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 AI-first SaaS business. Keep it concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We’re keen to see your hands-on experience with data pipelines and models, so don’t hold back!
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 Datatech
✨Know Your SQL Inside Out
As a Data Engineer, strong SQL skills are a must. Brush up on your SQL queries and be ready to discuss how you've used them in past projects. Practise writing complex queries and think about how you can optimise them for performance.
✨Showcase Your Python Skills
Since Python is key for building data pipelines, be prepared to talk about your experience with it. Bring examples of projects where you've used Python for data manipulation or automation. If possible, demonstrate your coding skills during the interview.
✨Familiarise Yourself with Cloud Platforms
The role involves working with Azure, AWS, or GCP, so make sure you understand the basics of these platforms. Be ready to discuss any hands-on experience you have and how you've leveraged cloud services in your previous roles.
✨Emphasise Collaboration and Communication
This position requires working closely with Product Managers and AI Engineers. Highlight your teamwork experiences and how you've effectively communicated technical concepts to non-technical stakeholders. Prepare examples that showcase your collaborative mindset.
