Data Platform Lead - Scale & Analytics (Hybrid, London)

Harnham

City Of London

Hybrid

GBP 54,000 - 90,000

Full time

4 days ago
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Job summary

Harnham is seeking a Data Engineering Lead in London with hybrid working. You will own the data infrastructure, analytics capability and reporting landscape to scale a data-driven culture across the organisation.

You will design and implement scalable pipelines, modern data warehouses and governance, while collaborating with commercial teams and external partners to drive AI-enabled analytics and strong customer insights.

Qualifications

  • Strong experience leading data engineering in high-growth consumer businesses.
  • Proven expertise with cloud data warehouses and data modelling.
  • Hands-on with dbt, ETL/ELT pipelines and data integration.
  • Experience building data functions and analytics for ecommerce sales.

Responsibilities

  • Designing, building and maintaining scalable data pipelines.
  • Developing and improving the data warehouse, semantic layer and reporting environment.
  • Supporting analytics, reporting and dashboard development across commercial teams.
  • Integrating new data sources including subscription and operational data.
  • Driving automation, governance, and data literacy across the organisation.
  • Managing relationships with external analytics partners and vendors.
  • Improving customer tracking and marketing analytics capabilities.
  • Supporting adoption of AI-enabled analytics and reporting workflows.

Skills

Cloud data warehouses
dbt
ETL/ELT pipelines
BI reporting
Data modelling
Stakeholder management
Analytics
Commercial data analysis
E-commerce experience
SaaS experience

Tools

DBT

Job description

Harnham is seeking a Data Engineering Lead in London with hybrid working. You will own the data infrastructure, analytics capability and reporting landscape to scale a data-driven culture across the organisation.

You will design and implement scalable pipelines, modern data warehouses and governance, while collaborating with commercial teams and external partners to drive AI-enabled analytics and strong customer insights.

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