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 43200 - 72000 £ 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.
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:
- 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 employer: Venture Up
Join an innovative software sports betting company in London, where you'll collaborate with a talented team of engineers and researchers to build cutting-edge data solutions. Enjoy a dynamic work culture that fosters creativity and growth, alongside competitive salaries, bonuses, and excellent benefits. This role offers the unique opportunity to work on greenfield projects, utilising the latest technologies in a supportive environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, SQL, and data pipelines. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data engineering concepts. Practice common interview questions and maybe even do mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to 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 about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with Python, SQL, and streaming technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our team and how your background makes you a perfect fit for the Senior Data Engineer role. Keep it engaging and personal!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex data challenges. We love seeing how you approach problems, especially in a fast-paced environment like ours!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in data engineering. Focus on projects where you built data pipelines or worked with streaming technologies. This will help demonstrate your hands-on skills and how they align with the role.
✨Understand the Business Context
Since this role is within a sports betting company, it’s beneficial to understand the industry and its challenges. Research how data impacts trading models and be ready to discuss how your work can contribute to the company's success in this competitive field.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face, and the technologies they use. This not only shows your interest in the role but also helps you gauge if the company culture and expectations align with your career goals.
