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For Companies At a Glance
- Tasks: Build and manage cloud-native data platforms and scalable pipelines.
- Company: A forward-thinking consultancy with a focus on engineering excellence and employee empowerment.
- Benefits: Equity in the company, flexible working, wellness support, and opportunities 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, cloud architecture, and agile methodologies.
- Other info: Join a stable team that values wellbeing and collaboration.
The predicted salary is between 30000 - 50000 £ 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. All our consultants have equity in the company, genuinely love what they do, and are really good at it. 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 London employer: (EDO) Entertainment Data Oracle, Inc.
Contact Detail:
(EDO) Entertainment Data Oracle, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 cloud-native data platforms and scalable pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with distributed computing and cloud architecture principles. Practice common interview questions to boost your confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and making an impact.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to make an impact in previous roles. We love seeing candidates who are genuinely excited about the transformational powers of data.
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud-native platforms, distributed computing, and any relevant tools like Spark or Terraform. We want to see how your skills align with what we do!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application 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 (EDO) Entertainment Data Oracle, Inc.
✨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 not just a good fit but also genuinely interested in 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 help demonstrate your capabilities and passion for data engineering.
✨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 show that you can adapt and thrive in their working culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data engineering and team collaboration. Inquire about their projects, the technologies they use, and how they support employee wellbeing. This not only shows your interest but also helps you gauge if the company aligns with your values.
