Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

ZipRecruiter; City Of London; Hybrid; GBP 63,000 - 75,000; Full time

Job summary

A leading lifestyle brand is seeking a Senior Data Engineer to join their team in London. This hybrid role focuses on implementing a scalable ML environment and collaborating closely with Data Science teams. The ideal candidate has expertise in Python, SQL, and Snowflake, with strong communication skills to drive adoption across the business. This is an exciting opportunity to make a strategic impact on data science initiatives.

Qualifications

• Expertise in Snowflake & Snowpark is essential.
• Experience building ML environments such as MLflow.
• Strong communication skills to influence and collaborate.

Responsibilities

• Design and implement a scalable ML environment with Data Science.
• Define best practice for deployment, monitoring, and governance.
• Build pipelines in Snowflake/Snowpark to power ML workflows.
• Support migration of models, removing blockers.
• Partner with IT to ensure smooth integration and adoption.
• Mentor peers and champion modern engineering practices.
• Ensure compliance with governance, privacy, and security.

Skills

Python

SQL

Data modelling

Snowflake

Snowpark

Communication

ML environments

CI/CD practices

Job description

Senior Data Engineer – Data Science & Engineering | Global Lifestyle Brand

Hybrid – UK | London – Up to £75k DOE 12 Month FTC J12995

We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past.

The team is part of a wider customer and insight function, harnessing data and predictive modelling to deliver personalised experiences across global brands and channels.

What you’ll need

• Python, SQL, data modelling
• Expertise in Snowflake & Snowpark
• Immaculate communication to influence and collaborate
• Experience building ML environments (MLflow or similar)
• CI/CD practices

What you’ll do

• Design and implement a scalable ML environment with Data Science
• Define best practice for deployment, monitoring, and governance
• Build pipelines in Snowflake/Snowpark to power ML workflows
• Support migration of models, removing blockers
• Partner with IT to ensure smooth integration and adoption
• Mentor peers and champion modern engineering practices
• Ensure compliance with governance, privacy, and security

If you’re a Data Engineer ready to make a strategic impact, combining technical mastery with the ability to drive adoption across the business, this is your chance.....

Let’s talk…. APPLY NOW

No Sponsorship or VISA holder applications unfortunately

#DataEngineering #Snowflake #Snowpark #MachineLearning #DatatechAnalytics