Senior Data Engineer and Analyst - Contractor

Job summary

Senior Data Engineer and Analyst - Contract Schedule: 3 days per week (flexible arrangement to be agreed). Duration: 11 months (3-month rolling contract, reviewed at each milestone) Rate: £450 per day (3-month rolling contract) About Modern Milkman Everyday life adds up.

Qualifications

• Modern Milkman is seeking an experienced Data Engineer/Analyst Hybrid to join our lean data team on a 3-day-per-week basis for 12 months (3-month rolling contract).
• and understand their challenges and needs.
• Digital Analytics Ownership
• Own the integrity of our digital data assets—tag management, event tracking, web/app data layer, and data collection strategy.
• Drive the roadmap and strategy for digital data collection and management, ensuring high data integrity.
• Provide actionable insights to growth and product teams on user behaviour, conversion optimisation, and product opportunities.
• Support A/B testing design, execution, and analysis; contribute to broader conversion rate optimisation strategy.
• Ensure digital metrics and KPIs are well-defined, understood, and accurately measured across the business.
• Collaborate with tech and product teams to maintain the quality of the digital data layer.
• Team Collaboration
• Work closely with the analytics engineer on data engineering priorities, knowledge sharing, and continuous improvement.
• Work with product team and peers to triage data requests and issues; deliver appropriate solutions and escalate where needed.

Responsibilities

• You'll act as a bridge between raw data and reliable, actionable insights, working across three integrated disciplines:
• Data Engineering & Infrastructure
• Diagnose and fix inaccurate data feeds, incomplete data structures, and incorrect business rules in Looker and our underlying warehouse.
• Design, build, and maintain data models (dbt) that serve both reporting and self-serve use cases.
• Implement and improve ELT pipelines and data transformations, ensuring reliability and performance.
• Develop and maintain data quality processes and monitoring (validation, observability, SLA enforcement).
• Proactively identify data issues, root cause failures, and address them promptly.
• Document data assets, models, pipelines, and transformations with clarity and accessibility in mind.
• Optimise data stack performance and cost efficiency.
• Analytics & Insights Delivery
• Conduct ad hoc and exploratory analysis to answer key business questions and inform decision-making.
• Create, maintain, and continuously improve self-serve data products (Looker dashboards, reports) that empower stakeholders to generate their own insights.

Skills

Degrees

Industry

Company size

Contract length