Senior Data Engineer (Analytics) - up to £75,000

Impactive IT

Leeds

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Job summary

Impactive IT is seeking a hands-on Senior Data Engineer (Analytics) to build and scale a modern data platform in Leeds. This role entails designing and maintaining data pipelines, owning the flow of data from source systems, and developing reusable data models. Ideal candidates will have strong experience with Snowflake, advanced SQL skills, and a focus on data quality. Join a small, high-impact team where you'll shape the data foundations for analytics and insights.

Qualifications

  • Strong experience with Snowflake.
  • Advanced SQL skills working with large datasets.
  • Hands-on experience with modern data tools (DBT ideally).
  • Solid understanding of data warehousing and architecture best practices.
  • Detail-oriented mindset focused on data quality.
  • Comfortable working in a small, high-impact team.

Responsibilities

  • Design, build, and maintain scalable data pipelines (ELT/ETL).
  • Own the flow of data from source systems to BI tools.
  • Develop clean, reusable data models for analytics.
  • Integrate a wide range of data sources into the data platform.
  • Implement data quality checks, monitoring, and validation.
  • Automate workflows to improve speed and reduce manual effort.

Skills

Experience with Snowflake
Advanced SQL skills
Experience with modern data tools
Data warehousing best practices
Detail-oriented mindset
Working in a small team

Job description

Overview

I'm looking for a hands-on Senior Data Engineer (Analytics) to help build and scale a modern data platform in a fast-growing, product-led business.

This is a high-impact role in a small team, where you’ll shape the data foundations for their new platform, that houses their analytics and data insights.

Responsibilities
  • Design, build, and maintain scalable data pipelines (ELT/ETL)
  • Own the flow of data from source systems → warehouse → BI tools
  • Develop clean, reusable data models for analytics and reporting
  • Integrate a wide range of data sources, including marketing, CRM, and operational systems
  • Implement data quality checks, monitoring, and validation
  • Automate workflows to improve speed, reliability, and reduce manual effort
  • Establish a robust, scalable data platform that supports growth
  • Improve data reliability, accessibility, and trust across the business
  • Enable self-serve analytics through well-structured datasets
  • Partner with stakeholders across Growth, Finance, Marketing, Product, and Operations
  • Translate business needs into scalable technical solutions
  • Communicate clearly with both technical and non-technical audiences
What we’re looking for
  • Strong experience with Snowflake
  • Advanced SQL skills working with large datasets
  • Hands-on experience with modern data tools (DBT ideally)
  • Solid understanding of data warehousing and architecture best practices
  • A detail-oriented mindset with a focus on data quality and reliability
  • Comfortable working in a small, high-impact team
Nice to have
  • Experience working with CRM and marketing data (e.g. HubSpot, Salesforce, ad platforms)
  • Background in digital marketing analytics or attribution
  • Python or R for automation and data processing
  • Familiarity with experimentation (A/B testing)
  • Exposure to data governance or cataloguing tools

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