Analytics Engineer

At Mustard, 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.

• 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.

• 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>

• 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

• 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.

• 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.

• 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).