At a Glance
- Tasks: Build and maintain data pipelines for a leading sports betting company.
- Company: Innovative software company in the exciting world of sports betting.
- Benefits: Lucrative salary, bonuses, and excellent benefits package.
- Other info: Opportunity to work with top professionals and choose your tech stack.
- Why this job: Join a talented team and work on cutting-edge data engineering projects.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 70000 - 90000 € per year.
A Senior Data Engineer is required for an exciting and innovative software sports betting company based in London. The successful candidate will join a talented horse racing team and will be working closely with the quantitative researchers and alongside other extremely talented and driven engineers to build and support systematic trading models. You will be joining a tight-knit team of research mathematicians, computer scientists and trading analysts at the top of their chosen fields.
You will be building and maintaining data pipelines that ingest data from multiple external providers, APIs, and real-time feeds, designing and implementing streaming data architectures to support low-latency trading requirements.
- 5+ years of experience in data engineering, with deep experience in Python, SQL, and data modelling.
- Experience with cloud data warehouses, orchestration frameworks, and transformation tools.
- Hands-on experience with streaming technologies (Kafka or similar).
- Experience integrating data from external APIs and third-party providers.
- A degree in Computer Science or a numerical subject from a top university.
Core Tech Stack
You will have the freedom to choose the tools and technologies that fit each problem best, but here’s a snapshot of what the company currently uses:
- Snowflake for data warehousing
- Python 3.12+
- DBT for transformations
- Kafka for streaming
- ClickHouse for real-time analytics
Working alongside other extremely talented and driven engineers. Extremely lucrative salary, bonus and excellent benefits. Greenfield Python/Data engineering work, both challenging and rewarding.
Senior Data Engineer in London employer: Venture Up
Join an innovative software sports betting company in London, where you'll collaborate with a talented team of engineers and researchers at the forefront of technology. Enjoy a competitive salary, generous bonuses, and excellent benefits while working on greenfield projects that challenge and inspire. With a strong focus on employee growth and a supportive work culture, this is an exceptional opportunity for those looking to make a meaningful impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering or at companies you're interested in. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of streaming technologies like Kafka. Practice coding challenges and be ready to discuss your past experiences with data modelling and cloud data warehouses.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some exciting opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and any relevant data engineering projects. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of projects you've worked on, especially those involving data pipelines, streaming technologies like Kafka, or cloud data warehouses. This helps us understand your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter:Your cover letter should reflect your passion for data engineering and the sports betting industry. Tell us why you're excited about this role and how you can contribute to our talented team. We love a good story!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It streamlines the process and ensures your application lands in the right hands. We can't wait to see what you've got!
How to prepare for a job interview at Venture Up
✨Know Your Tech Stack
Make sure you’re familiar with the core technologies mentioned in the job description, like Python, SQL, and Kafka. Brush up on your knowledge of Snowflake and DBT too, as these are crucial for the role. Being able to discuss how you've used these tools in past projects will show you're a great fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you tackled them. Think about times when you had to design data pipelines or integrate APIs. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Understand the Business Context
Since this role is within a sports betting company, it’s beneficial to have a grasp of how data impacts trading models and decision-making in that context. Research the industry and be ready to discuss how data engineering can enhance performance in sports betting.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face, and the future direction of their data architecture. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
