Data Engineer – Snowflake/Snowpark

Datatech Analytics; London; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Referral bonuses

Job summary

A global lifestyle brand is seeking a motivated Data Engineer to join their customer data science team. This role involves designing and maintaining data pipelines, collaborating with data scientists, and ensuring data quality. The ideal candidate has strong skills in Python, Snowflake, and data orchestration, and will work in a hybrid setting with opportunities to grow within a transformative environment. Applicants must have current UK working rights.

Qualifications

• Strong proficiency in Python, especially for data manipulation.
• Hands-on experience with Snowflake and Snowpark.
• Solid understanding of SQL and data warehouse architecture.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Collaborate with data scientists to deliver reliable data.
• Monitor data quality and pipeline performance.

Skills

Python

Snowflake

SQL

Data orchestration

CI/CD practices

MLOps

Tools

Snowpark

MLflow

Job description

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Hybrid Working: 1–2 days in the office per week (Tuesday/team day essential)

Term: Initial 12-month Fixed Term Contract with a view to extend or convert to permanent

Job Ref: J12995

The Role

This is an exciting opportunity to join a global lifestyle brand’s customer data science team during a transformative phase. As the business transitions to inhouse capabilities for CRM and customer insights, alongside implementing a new customer data platform, this role is key in shaping best practices and ensuring seamless collaboration with IT partners.

Seeking an experienced and motivated Data Engineer with a strong development background to help scale the data infrastructure and support analytical and data science workflows. Your work will enable faster, more reliable access to customer data and insights that drive more relevant and personalised interactions across the business.

Key Responsibilities

• Design, build, and maintain robust data pipelines and workflows using Snowflake and Snowpark
• Collaborate with data scientists and analysts to deliver clean, reliable data for downstream analytics
• Optimise large datasets for performance, scalability, and usability
• Monitor data quality, integrity, and pipeline performance
• Support batch and near real-time data transformations and integrations
• Write clean, modular, and efficient Python code for data processing and orchestration

Required Skills

• Strong proficiency in Python, especially for data manipulation and transformation
• Hands-on experience with Snowflake, including Snowpark for advanced data engineering tasks
• Solid understanding of SQL, data modelling, and modern data warehouse architecture
• Familiarity with data orchestration, workflow management, and CI/CD practices
• Experience in deploying and maintaining scalable data pipelines
• Exposure to MLOps practices and working with data science teams
• Familiarity with tools like MLflow or other model tracking/versioning tools
• Understanding of feature stores and data pipelines for ML/recommendation use cases

*Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

This is a fantastic opportunity to make a tangible impact by shaping the customer data infrastructure of a globally recognised brand. To find out more about this opportunity, please submit your application today.

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: www.datatech.org.uk

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Retail

Referrals increase your chances of interviewing at Datatech Analytics by 2x

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