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
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).