Analytics Engineer: Databricks & Data Pipelines Lead

Harnham

Slough

Presencial

GBP 54.000 - 66.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Harnham in London is looking for an Analytics Engineer to own and shape the data platform, driving lakehouse strategy, data modelling, and reliable pipelines.

You will work hands-on with Databricks, Azure Data Factory, and Power BI to build scalable data models and enable trusted analytics across the business.

Offering ownership, influence, and clear path for long-term career growth in a fast-growing data function.

Formación

  • Strong SQL experience in a commercial setting.
  • Hands-on Databricks and Azure Data Factory experience.
  • Deep understanding of data modelling and semantic layer concepts.
  • Experience building Power BI data models.
  • Ability to translate business needs into scalable data models.
  • Comfort working across multiple data sources and pipelines.

Responsabilidades

  • Develop and maintain data pipelines across Databricks, Azure Data Factory and APIs.
  • Model data across layers with clean, scalable structures.
  • Extend Power BI data models for reliable reporting.
  • Partner with stakeholders to define requirements and validate assumptions.
  • Support lakehouse management with incremental loads and data quality.
  • Collaborate with Databricks team to expand feature adoption.

Conocimientos

SQL
Azure
Databricks
Data modelling
Power BI
ETL pipelines
Stakeholder collaboration
Semantic layer

Herramientas

Databricks
Azure Data Factory
Power BI
Tabular Editor

Descripción del empleo

Harnham in London is looking for an Analytics Engineer to own and shape the data platform, driving lakehouse strategy, data modelling, and reliable pipelines.

You will work hands-on with Databricks, Azure Data Factory, and Power BI to build scalable data models and enable trusted analytics across the business.

Offering ownership, influence, and clear path for long-term career growth in a fast-growing data function.

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