Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and manage cloud-native data platforms and scalable pipelines.
- Company: A forward-thinking consultancy focused on engineering excellence and empowering people.
- Benefits: Flexible remote work, wellness programs, and support for personal projects.
- Why this job: Make a real impact with data while enjoying a supportive and fun work environment.
- Qualifications: Experience in Python, SQL, and cloud architecture; knowledge of distributed computing is a plus.
- Other info: Join a stable, trusted team and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are a new generation consultancy based across the UK and EU, founded on the premises of engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects.
About you: Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.
Your key skills and capabilities:
- Implementing cloud-native data platforms
- Engineering scalable and reliable pipelines
- Good knowledge of distributed computing with Spark
- Understanding of cloud architecture principles and best practices
- Hands-on experience in designing, deploying, and managing cloud resources
- Excellent Python and SQL skills
- Agile ways of working
- Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform
- Monitoring and performance tuning of cloud-based applications and services
Nice to haves (MLOps):
- Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance.
- Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining.
- ML Pipelines & CI/CD – Automate end-to-end ML workflows.
We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.
Our promise to you: We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals, and the ability to work on personal projects.
We believe that a gelled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams – your team will be stable across different projects and you will work with people you trust and like.
We are committed to prioritising the wellbeing of our employees. To fulfil this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture.
We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn-out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.
Data Engineer in City of London employer: The Dot Collective
Contact Detail:
The Dot Collective Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
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 a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native data platforms or scalable pipelines. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss distributed computing with Spark, cloud architecture principles, and your experience with Python and SQL. Practice common interview questions and maybe even do some mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate data engineers who want to make an impact. Plus, applying directly shows us you’re genuinely interested in joining our team!
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We want to see how you believe in its transformational powers and how it can make a difference. Share specific examples of projects or experiences that highlight this passion.
Tailor Your Skills to the Role: Make sure to align your skills with what we’re looking for in a Data Engineer. Highlight your experience with cloud-native platforms, distributed computing, and any tools like Spark or Terraform. The more relevant your skills are, the better!
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points for your skills and experiences to make it easy for us to read. Remember, we’re looking for someone who can communicate effectively, so show us you can do that right from the start.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at The Dot Collective
✨Know Your Tech Stack
Make sure you’re well-versed in the modern tech stacks mentioned in the job description. Brush up on your cloud-native data platforms, distributed computing with Spark, and cloud architecture principles. Being able to discuss these topics confidently will show that you’re a great fit for the role.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented scalable and reliable data pipelines. Highlight your hands-on experience with Python, SQL, and any cloud automation tools like CloudFormation or Terraform. Real-world examples will make your skills more tangible and impressive.
✨Emphasise Agile Experience
Since the company runs agile scrum on all projects, be ready to discuss your experience with agile methodologies. Share how you’ve contributed to team dynamics and project success in an agile environment. This will demonstrate that you can adapt and thrive in their working style.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data engineering and team collaboration. Inquire about their projects, tools they use, or how they support employee wellbeing. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
