DataBricks Data Engineer

Tenth Revolution Group; City Of London; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading Databricks Partner is seeking an experienced Data Engineer for a remote 3-month rolling contract. The successful candidate will design and optimize data pipelines using Databricks and Azure, implementing best practices and collaborating with stakeholders. They will need strong expertise in Databricks, Azure Data Platform, Python, and SQL. This role offers flexibility and autonomy while working on impactful data engineering projects. Ideal for skilled professionals looking to make a significant contribution in a dynamic environment.

Qualifications

• Proven experience with Databricks, including Spark-based data processing.
• Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.).
• Proficiency in Python and SQL for data engineering tasks.
• Understanding of data architecture and ETL processes.
• Ability to work independently in a remote environment.

Responsibilities

• Design, develop, and optimize data pipelines using Databricks and Azure Data Services.
• Implement best practices for data ingestion, transformation, and storage.
• Collaborate with stakeholders to ensure data solutions meet business requirements.
• Monitor and troubleshoot data workflows for performance and reliability.

Skills

Databricks

Azure Data Platform

Python

SQL

Data architecture

ETL processes

Independent working

Job description

Data Engineer (Databricks & Azure) - 3-Month Rolling Contract

Rate: 400-450 per day
Location: Remote
IR35 Status: Outside IR35
Duration: Initial 3 months (rolling)

About the Company

Join a leading Databricks Partner delivering innovative data solutions for enterprise clients. You'll work on cutting-edge projects leveraging Databricks and Azure to transform data into actionable insights.

About the Role

We are seeking an experienced Data Engineer with strong expertise in Databricks and Azure to join our team on a 3‑month rolling contract. This is a fully remote position, offering flexibility and autonomy while working on high‑impact data engineering initiatives.

Key Responsibilities

• Design, develop, and optimize data pipelines using Databricks and Azure Data Services.
• Implement best practices for data ingestion, transformation, and storage.
• Collaborate with stakeholders to ensure data solutions meet business requirements.
• Monitor and troubleshoot data workflows for performance and reliability.

Essential Skills

• Proven experience with Databricks (including Spark‑based data processing).
• Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.).
• Proficiency in Python and SQL for data engineering tasks.
• Understanding of data architecture and ETL processes.
• Ability to work independently in a remote environment.

Nice-to-Have

• Experience with CI/CD pipelines for data solutions.
• Familiarity with Delta Lake and ML pipelines.

Start Date: ASAP
Contract Type: Outside IR35
Apply Now: If you're a skilled Data Engineer looking for a flexible, remote opportunity with a Databricks Partner, we'd love to hear from you!