At Mustard Systems, we leverage statistical modeling to dive into sports events and help us make informed predictions about future outcomes. By utilising our unique datasets, advanced statistical models, and custom-built software, we strive to accurately forecast sports results.
We value quick delivery and real-world impact over perfect code. If you’re an engineer who thrives on solving data problems quickly and enjoys a flexible, outcome-focused culture, you’ll fit right in.
You’ll work closely with engineering, and Quantitative Analytics teams to ensure our data is accurate, accessible, and actionable.
What You’ll Work On:
- Build, scale and support our data pipelines and infrastructure.
- Develop reliable data ingestion workflows that are critical to enabling us to predict sport as effectively as possible.
- Optimise our data warehouse, from both cost/performance perspectives as well as consumer accessibility.
- Partner with trading, quantitative analytics, and engineering teams to deeply understand data requirements and translate them into robust semantic models.
- Improve transparency and documentation of data flows.
- Work with stakeholders and data consumers to upskill in using the data warehouse and related infrastructure.
- Translate business needs into technical solutions which add value for stakeholders.
We work with an agile approach, following a flexible plan that adapts to new information and opportunities as they arise. All our engineers are a core part of this process, taking full ownership of their software throughout its lifecycle; from design and development to testing, review, and production support.
What you'll be responsible for:
- Design, Model, and Deliver High-Impact Data products & pipelines
- Ensure Data Quality and Reliability: Enforcing best practices for testing, validation, version control, and CI/CD for analytics code.
- Own Data in Production: Monitoring and supporting data pipelines in production environments, ensuring stability and quickly resolving issues.
- Own data quality: Improve observability and alerting around data freshness, volume anomalies, and model health.
- Cross-Team Collaboration: Work closely with other development teams on cross-functional projects, and partner with engineers, traders and quantitative analysts to design and implement the best solutions to real business problems.
Core Tech Stack:
- Data Warehouse: Snowflake
- Data access & processing: Jupyter notebooks
- Sources: PostgreSQL, flat files, Kafka
- Transformation: dbt
- Ingestion: Python, DltHub, shell scripting
- Other: Git-based workflows, CI/CD pipelines, Linux environments
Requirements
Must-Haves:
- Strong background in data engineering or analytics engineering, with deep experience in SQL and analytical modelling.
- Solid understanding of data warehousing concepts.
- A degree in Computer Science or a numerical subject from a top university.
- Practical experience with dbt (or a similar transformation framework) and modern ELT workflows.
- Proficiency in Python for data manipulation and pipeline development.
- Experience working with cloud data warehouses (Snowflake strongly preferred).
- Exceptional communication skills, enabling you to communicate complex data concepts clearly to both technical and non-technical audiences.
- Strong decision-making abilities, with a knack for making thoughtful trade-offs in both implementation and architectural choices, balancing innovation, practicality, quality, speed, and long-term maintainability.
- At least 5 years experience in data/analytics engineering
Nice-to-Haves:
- Experience with kafka/consuming data from event streams
- Experience with Apache Iceberg table formats
- Experience with data dashboarding/BI tools
- Experience with Jupyter notebooks
- Experience with Snowflake performance tuning, warehouse optimisation, or database administration.
- Relevant certification/badges (e.g. Snowflake, dbt Fundamentals, dbt Developer).
- Familiarity with shell scripting
- Experience improving data observability and monitoring ecosystems.
- Comfort working in Linux/Unix environments.
Benefits
Why join Mustard Systems?
- Hybrid working environment. We're in the office every Monday, Tuesday and Thursday, and work from home every Wednesday and Friday
- Work on cutting-edge systems in a competitive and innovative field.
- Collaborate with a smart, driven team, where your contributions directly impact business performance.
- Opportunity to drive the company’s technical direction and double its revenue in the next three years.
Comprehensive benefits, including:
- Competitive salary and significant bonus potential
- Enhanced pension match with salary sacrifice option.
- Health insurance and life assurance.
- Sabbatical leave after five years.
- 33 days of annual leave (including bank holidays).
Top Skills
What We Do
We are a young fast growing company in London W6. We develop pricing models and use those models to provide various services to our clients who include renowned licensed bookmakers and professional gamblers.
Mustard Systems was founded in 2014 having spun out of a highly successful quantitative research and software business. With the experience from this great heritage combined with a young, aspiring and bright team, we are very well positioned to take advantage of market developments in both the short and long terms.
