Job Advert
Are you a data engineer who takes pride in building clean pipelines, fast queries, and reliable data infrastructure?
We are looking for a talented Senior Data Engineer to join our growing and highly capable Business Intelligence team at Protein Works. You will be responsible for delivering and maintaining the business-critical data that powers decision-making across marketing, trading, operations and finance. You will own the data infrastructure that has a direct, visible impact on how the business performs.
This role sits at the heart of Protein Works’ AI transition. As the team grows, you will be a key enabler of that capability, building the clean, well-governed data foundations that allow AI workflows, agents and analytical tooling to deliver value. If you're excited by the shift from traditional BI to an AI-augmented data function, this is the seat to be in.
Protein Works is a high-growth DTC nutrition brand with a clear mission: help people live healthier, happier lives through the power of nutrition. Based at our brand-new PW Campus in Speke, Liverpool, this role suits someone with an unwavering passion for data, a deep appreciation of modern data engineering on Google Cloud Platform, and the drive to keep raising the bar on quality, reliability and efficiency.
What You Will Be Doing
Pipelines & Project Delivery
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Own It End-to-End: Manage and deliver BI infrastructure from initial brief and requirement gathering through to data pipeline development (APIs / ETL / ELT / SQL).
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Enable the Analysts: Work alongside your Data Analyst colleagues to help them generate impactful business insights and analysis.
Data Platform & Quality
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Guard the Stack: Take day-to-day responsibility for the maintenance and enhancement of the data quality, security and performance of our Data Lake and Warehouse.
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Drive CI/CD: Build and maintain robust CI/CD processes for data pipelines using tools such as Cloud Build and GitHub, raising the standard of how code is tested, deployed and version-controlled.
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Manage Performance & Cost: Proactively monitor pipeline health, optimise performance, and manage infrastructure costs to ensure efficient scaling.
AI Enablement
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Make Data AI-Ready: Apply strong data modelling, semantic consistency and metadata discipline so data is discoverable and usable by both humans and AI tools.
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Partner with the AI Team: Work closely with function specific AI engineers and analysts to understand their data needs and unblock them quickly.
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Bring AI Into Your Own Workflow: Use AI tooling to accelerate your own engineering, from code generation to pipeline documentation to data quality checks.
Team & Operations
Share What You Know: Champion knowledge sharing and best practice across the team and wider business.
Non-Negotiables
To thrive in this role, you must bring the following to the table:
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Demonstrable data engineering experience with a data warehouse platform.
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Extremely Strong SQL skills
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Significant hands-on experience integrating APIs.
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Experience with the Google Cloud Platform/Data Stack including: BigQuery; Cloud Functions; Cloud Storage; Pub/Sub; IAM Management; Data Studio
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Strong working knowledge of Python for pipeline development, automation and tooling integration.
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Hands-on experience with Cloud Build and GitHub for version control and CI/CD.
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Highly Organised with strong verbal and written communication, able to multi-task and consistently deliver to deadlines.
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Able to influence and collaborate effectively at all levels.
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Eye for detail and high standards in everything you produce.
Desirables
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Hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks.
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Experience with Terraform or equivalent infrastructure-as-code tooling.
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Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic search is a plus.
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Working knowledge of Google's marketing stack: Google Analytics, Google Tag Manager, Google Ads and Google Search Console.
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Highly numerate: analytical and comfortable in detail.
What it takes to succeed here:
We are looking for someone who goes beyond the job description. The perfect candidate is:
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A Proactive Self-Starter: You don't wait to be told what to do; you take extreme ownership of your domain.
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A Pragmatic Problem-Solver: You have a knack for simplifying complexity and getting things done efficiently.
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Collaborative & Positive: You are a team player who can build trust quickly across all departments and levels of the business.
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AI-Curious and AI-Native: You see AI as a force multiplier, not a threat. You're already experimenting with how it changes the way data engineering gets done.
Ready to step up? Join us at Protein Works and help us fuel the next stage of our growth. Apply today!
