At a Glance
- Tasks: Join a dynamic quant team to build and maintain data workflows for sports betting analysis.
- Company: Exciting company in the sports betting industry with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make an impact by ensuring high-quality data drives sports betting insights.
- Qualifications: Strong Python and SQL skills, experience with complex datasets, and a passion for data.
The predicted salary is between 50000 - 70000 £ per year.
BettingJobs is seeking a Data Engineer to join a small but growing quant team in the sports betting industry. Working alongside the modelling team, you will be responsible for ensuring they have access to reliable, well-structured and high-quality data for research, modelling and analysis. From building robust Python-based workflows to investigating complex data issues and assessing new data sources, the Data Engineer will be responsible for extracting maximum value from the data.
Responsibilities
- Work day-to-day with quant modellers to prepare, refine and maintain datasets used for research, modelling and analysis.
- Investigate data issues affecting modelling outputs, identifying root causes and working with relevant teams to resolve them.
- Build and maintain Python-based data workflows and pipelines for ingestion, transformation and validation of modelling data.
- Maintain and develop historical data assets, ensuring they remain accurate, accessible and fit for analytical use.
- Work with engineers to improve upstream and downstream data flows, ensuring critical data is captured and processed effectively.
- Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets.
- Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines.
- Define and improve data logic, transformations and assumptions, ensuring they are clearly documented and consistently applied.
- Support data migrations, backfills and structural improvements to improve the reliability of modelling datasets.
- Contribute to tooling and processes that make it easier to explore, prepare and troubleshoot data used by the quant team.
Requirements
- Strong experience in a Quant Data Engineer, Research Data Engineer or similar role working with complex datasets.
- Understanding of the sports betting industry.
- Strong Python skills for data processing, investigation and workflow development.
- Excellent SQL skills and solid experience with relational databases, preferably PostgreSQL.
- Proven experience preparing, transforming and validating datasets for analytical, modelling or research use.
- Experience investigating data issues and tracing problems through pipelines, transformations and source systems.
- Experience building and maintaining data pipelines or processing workflows in production environments.
- Strong understanding of data quality, reconciliation and validation practices.
- Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial).
- Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence.
- Comfortable working with messy, incomplete or evolving datasets and turning them into reliable assets.
- Experience working in Agile environments and collaborating with distributed teams.
- Excellent attention to detail, strong problem-solving ability and clear verbal and written communication skills.
Data Engineer - Quantitative Analysis in London employer: BettingJobs
BettingJobs offers an exciting opportunity for a Data Engineer to thrive in a dynamic and innovative environment within the sports betting industry. With a strong emphasis on collaboration, employee growth, and a commitment to data integrity, we provide our team members with the tools and support needed to excel in their roles. Our culture fosters creativity and problem-solving, making it an ideal place for those looking to make a meaningful impact while enjoying the benefits of working in a small yet growing team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Quantitative Analysis in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting industry, especially those working as Data Engineers or in quant roles. A casual chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python workflows and data pipelines. This is your chance to demonstrate how you tackle complex datasets and ensure data quality – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data validation techniques. Be ready to discuss specific examples of how you've resolved data issues or improved data flows in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to get noticed by our hiring team. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Engineer - Quantitative Analysis in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any relevant projects that showcase your skills in handling complex datasets. We want to see how you can bring value to our quant team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the sports betting industry and how your background makes you a perfect fit for our team. Let us know what excites you about working with data!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples where you've tackled data issues or improved workflows. We love seeing how you approach challenges and find solutions, especially in messy or incomplete datasets.
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 shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at BettingJobs
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the types of datasets you might be working with in the sports betting industry. Brush up on your experience with Python and SQL, and be ready to discuss specific examples where you've transformed or validated data for analytical use.
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've investigated data issues and traced problems through pipelines. Highlight your approach to identifying root causes and how you collaborated with teams to resolve these issues. This will demonstrate your analytical mindset and teamwork abilities.
✨Familiarise Yourself with Tools and Technologies
Make sure you know the tools mentioned in the job description, like PostgreSQL, ClickHouse, or GitLab. If you have experience with Agile methodologies, be ready to discuss how you’ve worked in such environments and how it has shaped your workflow.
✨Communicate Clearly and Confidently
During the interview, focus on articulating your thoughts clearly. Practice explaining complex data concepts in simple terms, as this will showcase your communication skills. Remember, they want to see how well you can convey technical information to both technical and non-technical team members.
