Databricks Engineer - SC Cleared

Shareforce; North East; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology consultancy offers an exciting contract for a Databricks Engineer in the North East. The role involves designing advanced data solutions within the Azure ecosystem, mentoring junior engineers, and driving best practices in data engineering. Candidates should have strong skills in Azure Databricks, Python, and SQL, along with a solid grasp of lakehouse architecture. The position is hybrid, requires active SC Clearance, and offers a competitive rate of £500-550 per day with a duration of 3 months.

Qualifications

• Proven experience designing and implementing data solutions in Azure using Databricks as a core platform.
• Hands‑on expertise in Delta Lake, Delta Live Tables and Databricks Workflows.
• Strong coding skills in Python and SQL, with experience in developing modular, reusable code in Databricks.
• Excellent communication skills.

Responsibilities

• Design, build, and optimise end-to-end data pipelines using Azure Databricks.
• Collaborate with stakeholders to define technical requirements.
• Drive best practices for data engineering.
• Help clients realise the potential of data science and machine learning.
• Mentor junior engineers.

Skills

Data engineering best practices

Azure Databricks

Python

SQL

AI utilization

CI/CD practices

Communication skills

Education

Certification in Databricks Data Engineer

Certification in Azure Data Engineer

Tools

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Azure DevOps

Job description

This is an exciting contract opportunity for an SC Cleared Databricks Engineer tojoin an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within the Azure ecosystem.

Responsibilities

• Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables.
• Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions.
• Drive best practices for data engineering.
• Help clients realise the potential of data science, machine learning, and scaled data processing within Azure / Databricks ecosystem.
• Mentor junior engineers and support their personal development.
• Take ownership for the delivery of core solution components.
• Support with planning, requirements refinements, and work estimation.

Skills & Experiences

• Proven experience designing and implementing data solutions in Azure using Databricks as a core platform.
• Hands‑on expertise in Delta Lake, Delta Live Tables and Databricks Workflows.
• Strong coding skills in Python and SQL, with experience in developing modular, reusable code in Databricks.
• Deep understanding of lakehouse architecture, with a solid grasp of data warehousing, data lakes, and real‑time data processing.
• Familiar with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
• Good experience with CI/CD practices and tools for data platforms using Azure DevOps.
• Good knowledge on how to leverage AI to increase deployment productivity and quality.
• Excellent communication skills.
• Desirable: certification in Databricks Data Engineerand/or Azure Data Engineer are a plus.

Additional Information

• Rate offered: £500-550 per day
• IR35 Status: Outside
• Location: Hybrid with travel to client site in the North East
• Start date: January
• Duration: 3 months initial sign up with significant opportunity for extension
• Required: Active SC Clearance