Data Engineer

DUSK (RETAIL) LIMITED provided pay range

This range is provided by DUSK (RETAIL) LIMITED. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Details

We are looking for a detail-oriented and proactive Data Engineer to join our team and play a key role in transforming raw operational and commercial data into actionable insights. This role will work across multiple data sources, including NetSuite, Shopify, SnapFulfil WMS and others to support strategic decision-making across finance, operations, and ecommerce.

This is a new role whereby the candidate will help to steer the direction of the data stack to be used (Snowflake/SQL/Fabric etc).

The ideal candidate will have hands‑on experience in managing modern data platforms, a strong understanding of data pipelines, and the ability to create and develop clear, business‑relevant insights.

Key Responsibilities:

• Build and maintain robust data models in a data warehouse/lake using data from NetSuite, Shopify, and SnapFulfil WMS amongst many others.
• Develop and automate reports and dashboards that support business needs across finance, operations, supply chain, and ecommerce.
• Clean, transform, and validate large datasets to ensure data quality and reliability.
• Collaborate with stakeholders to define KPIs, metrics, and performance dashboards.
• Assist in developing and maintaining ELT/ETL processes to ingest data into the data warehouse/lake.
• Work with cross-functional teams to understand data needs and troubleshoot data issues.
• Document processes, data definitions, and reporting logic for transparency and scalability.
• Connect external systems to a data warehouse/lake instance (e.g. NetSuite, Shopify).
• Ensure compliance with relevant regulations e.g. GDPR.

Key Skills:

• Ability to prioritise tasks in order of importance and urgency.
• Experience with working with a data warehouse/lake.
• Experience building dashboards in tools such as Tableau, Power BI, Looker, or Sigma.
• Proven ability to work with multiple data sources and systems.
• Strong analytical thinking, with excellent attention to detail.
• Ability to explain technical concepts to non-technical stakeholders.
• Keep up to date with the latest trends around data warehousing, especially AI/machine learning.
• A strategic and analytical mindset considering the wider business impact in all tasks.
• Excellent communicator with strong collaboration skills, fostering clear, effective teamwork across diverse groups.

Experience:

• Experience with a fast moving eCommerce retail business is desirable but not essential.
• Python or R experience for data analysis and automation is a plus.
• Exposure to API‑based data extraction from systems like Shopify and SnapFulfil.
• Experience in data handling and management of previous data platforms.
• Experience with middleware is desirable but not essential.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Retail

Location: Leeds, England, United Kingdom

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