Databricks Data Engineer - Lakehouse & AI Pipelines

Unifeye

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Databricks focus
Hybrid working
Competitive salary
Bonus
Career development

Job summary

Unifeye is hiring experienced Data Engineers to join our growing delivery team in London and help design, build and deliver modern data platforms on the Databricks Lakehouse Platform. You will work across enterprise engagements, delivering scalable, secure data solutions and collaborating with architects, AI specialists and client stakeholders.

You will contribute to engineering best practices, share knowledge within the team and support Unifeye's growth with hands-on delivery of

Qualifications

  • Experience building production-grade data pipelines with Spark/PySpark.
  • Experience delivering modern data platforms on Databricks.
  • Strong SQL skills and data modeling.

Responsibilities

  • Design and build scalable batch and streaming data pipelines using Spark and Databricks.
  • Develop modern Lakehouse architectures using Delta Lake and Medallion (Bronze, Silver and Gold) design principles.
  • Build robust ingestion frameworks from APIs, files and streaming data sources.
  • Ensure data quality, testing, monitoring and observability across data pipelines.
  • Implement governance, access control and lineage using Unity Catalog.
  • Optimise workloads for performance, scalability and cost efficiency.
  • Collaborate with architects and customers to translate business requirements into production-ready data solutions.
  • Support integration with downstream analytics, BI, machine learning and AI workloads.
  • Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices.

Skills

PySpark
SQL
Data modeling
Cloud platforms

Tools

Databricks
Airflow
Terraform

Job description

Unifeye is hiring experienced Data Engineers to join our growing delivery team in London and help design, build and deliver modern data platforms on the Databricks Lakehouse Platform. You will work across enterprise engagements, delivering scalable, secure data solutions and collaborating with architects, AI specialists and client stakeholders.

You will contribute to engineering best practices, share knowledge within the team and support Unifeye's growth with hands-on delivery of

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