Databricks Data Engineer — Lakehouse Pipelines (Hybrid)

Unifeye Ltd.; Greater London; Hybrid; GBP 65,000 - 105,000; Full time

Benefits offered by this job

Competitive salary

Bonus

Flexible hybrid working

Certification & career development

Close collaboration with Databricks

Job summary

Unifeye is seeking experienced Data Engineers to design, build and deliver modern data platforms on the Databricks Lakehouse Platform. You will work across enterprise engagements, delivering scalable, secure data solutions and contributing to best practices within a small, growth-focused team.

In this hybrid UK role, you will collaborate with architects, AI specialists and client stakeholders to translate business needs into production-ready data platforms supporting analytics, ML and AI

Qualifications

• Extensive experience building production-grade data pipelines with Spark (PySpark preferred).
• Proven ability to deliver modern data platforms on Databricks or similar Spark-based platforms.
• Strong SQL skills, data modelling, and Lakehouse concepts (Delta Lake).
• Experience with AWS, Azure or GCP and CI/CD, version control, deployment automation.

Responsibilities

• Design and build scalable batch and streaming data pipelines with Spark and Databricks.
• Develop Lakehouse architectures using Delta Lake and Bronze/Silver/Gold models.
• Create robust ingestion from APIs, files and streaming sources.
• Ensure data quality, testing, monitoring, and observability across pipelines.

Skills

Apache Spark (PySpark)

Databricks

SQL & data modelling

Cloud platforms (AWS/Azure/GCP)

CI/CD & deployment automation

Stakeholder communication

Tools

Databricks

Terraform

Unity Catalog

Kafka

Job description

Unifeye is seeking experienced Data Engineers to design, build and deliver modern data platforms on the Databricks Lakehouse Platform. You will work across enterprise engagements, delivering scalable, secure data solutions and contributing to best practices within a small, growth-focused team.

In this hybrid UK role, you will collaborate with architects, AI specialists and client stakeholders to translate business needs into production-ready data platforms supporting analytics, ML and AI