Senior Data Engineer

Senior Data Engineer

Full-Time No home office possible
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⭐ – Featured Role | Apply direct with Data Freelance Hub

This role is for a Senior Data Engineer with a contract length of \”unknown\” and a pay rate of £550–£650 per day, remote (UK/EU). Key skills include Databricks, PySpark, Delta Lake, and CI/CD pipelines. Databricks certifications are preferred.

United Kingdom

What You’ll Be Doing:

  • Designing and building end-to-end data pipelines using Databricks (PySpark / SQL / Delta Lake)
  • Developing and managing robust, scalable Lakehouse architectures
  • Implementing Delta Live Tables (DLT) for reliable, testable, production-grade pipelines
  • Optimising performance using:
  • Working with Unity Catalog to implement Centralised governance
  • Leveraging Databricks Workflows / Jobs for orchestration
  • Building CI/CD pipelines for data & platform deployments (Terraform, GitHub Actions, Azure DevOps etc.)
  • Enabling real-time and streaming pipelines (Structured Streaming, Auto Loader)
  • Contributing to MLOps workflows, integrating models into production pipelines
  • Collaborating with Data Scientists, Analysts, and Platform teams to improve developer experience and platform usability

Key Skills & Experience:

  • Strong experience building pipelines with PySpark / Spark SQL
  • Deep understanding of Delta Lake
  • Databricks Platform Expertise
  • Hands‑on experience with: Unity Catalog (governance & security), Spark Declarative Pipelines, Databricks Workflows / Jobs
  • Strong understanding of Lakehouse architecture principles
  • Performance & Optimisation
  • Platform / DevOps Engineering, Infrastructure as Code, CI/CD pipelines
  • Strong experience in at least one: Azure, AWS

Very Nice to Have:

  • Databricks certifications (Data Engineer Associate / Professional)
  • Experience with Feature Store / MLflow
  • Exposure to Databricks AI / Mosaic AI / Model Serving

If you’re interested in building high-performance Databricks platforms at scale, send your CV to cv@primus-connect.com or click apply.

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Contact Detail:

Data Freelance Hub Recruiting Team

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