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Senior Data Engineer - Databricks - Pyspark - Dimensional Models - Unity Catalog - Kimball

Nexere Consulting LimitedLondon🇬🇧United KingdomPosted 20 Aug 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
SQLDatabricksStakeholder ManagementUnitydbt

Job Description

Senior Data Engineer - Databricks - Pyspark - Dimensional Models - Unity Catalog - Kimball - Perm

We're looking for a Senior Analytics Engineer to lead the design and delivery of curated, analytics-ready data within our Lakehouse environment.

You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI.

You'll also provide technical leadership and mentorship, helping to establish best practices across the team.

Key Responsibilities:

  • Design and deliver dimensional and semantic data models for analytics.
  • Define and maintain KPIs, conformed dimensions and consistent data definitions.
  • Develop and optimise SQL and PySpark pipelines using Databricks.
  • Ensure high standards of data quality, testing, performance and observability.
  • Lead modelling reviews and contribute to technical and architectural decisions.
  • Work closely with Data Architects, BI teams, analysts and business stakeholders.
  • Mentor and support other Analytics Engineers.
  • Contribute to CI/CD, automation, testing and data governance standards.

About You

Essential:

  • Strong experience as an Analytics Engineer within a modern data platform environment.
  • Expert-level SQL and strong hands-on PySpark experience.
  • Strong understanding of dimensional modelling, semantic layers and analytics engineering.
  • Proven experience with Databricks and Lakehouse architectures.
  • Excellent stakeholder management and communication skills.
  • Experience providing technical leadership or mentoring.

Desirable:

  • Experience with Unity Catalog, dbt or similar transformation frameworks.
  • Knowledge of Delta Lake, data governance and metadata management.
  • Experience with CI/CD and automated testing.

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