Databricks Engineer - SC Cleared

Shareforce Ltd
Broomhaugh and Riding, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 143K

Job location

Broomhaugh and Riding, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Continuous Integration
Information Engineering
Data Systems
Data Warehousing
Python
Machine Learning
SQL Databases
Data Processing
SC Clearance
Data Lake
Data Analytics
Real Time Data
Data Management
Databricks

Job description

This is an exciting contract opportunity for an SC Cleared Databricks Engineer to join 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 AWS ecosystem., * Design, build, and optimise end-to-end data pipelines using AWS and 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 AWS / 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.

Requirements

  • Proven experience designing and implementing data solutions in AWS 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.
  • Good experience with CI/CD practices and tools for data platforms.
  • Good knowledge on how to leverage AI to increase deployment productivity and quality.
  • Excellent communication skills.
  • Desirable: certification in Databricks Data Engineer and/or AWS Data Engineer are a plus.

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