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.
- Benefits: Competitive salary, hybrid work model, and excellent learning opportunities.
- Other info: Dynamic team environment with exposure to modern cloud technologies.
- Why this job: Work on cutting-edge AI solutions that impact real customers.
- Qualifications: Experience in data engineering, strong SQL skills, and a collaborative mindset.
The predicted salary is between 45000 - 50000 £ per year.
Location: London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday)
Salary: £45,000 to £50,000 dependent on experience
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!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK.
Data Engineer | SQL | London employer: Datatech Analytics
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 an excellent environment for learning and development, alongside competitive benefits and a hybrid work model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | SQL | 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 works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving SQL and Python. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your past experiences. Remember, they want to see how you think and solve problems!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to reach out directly.
We think you need these skills to ace Data Engineer | SQL | 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 or AWS. We want to see how your background fits 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, make sure to mention them! Whether it's building data pipelines or developing models, we want to see your hands-on experience. Include links to your GitHub or any other portfolio if possible.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Datatech Analytics
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL in detail, including specific projects where you've built or maintained data pipelines. Practising common SQL queries and problems can really help you stand out.
✨Showcase Your Python Proficiency
Since Python is a key part of the role, be ready to talk about how you've used it in your previous work. Bring examples of scripts or projects you've completed, and if possible, demonstrate your understanding of data manipulation and analysis using Python.
✨Familiarise Yourself with Cloud Platforms
Get comfortable with Azure, AWS, or GCP, as these are crucial for the position. Research the specific services offered by these platforms that relate to data engineering, and be prepared to discuss how you've used them in past roles or projects.
✨Emphasise Collaboration Skills
This role involves working closely with Product Managers, AI Engineers, and Analysts, so highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, and be ready to discuss how you handle feedback and contribute to a team environment.
