Databricks Engineer

Sk It Solutions Ltd
London, UK
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Microsoft Azure Big Data Information Engineering Extract Transform Load (ETL) Data Systems Python (Programming Language) Power BI Azure Data Lake SQL Databases Data Processing Azure Data Factory
+7 more
Apache Spark Git Microsoft Fabric Data Lakes Pyspark Data Management Databricks

Job description

We are seeking an experienced Senior Databricks Engineer to join a high-profile client project. This is an excellent opportunity for a skilled data engineering professional with strong expertise in Azure technologies and Microsoft Fabric to design and deliver modern cloud-based data platforms.

Working as part of an experienced delivery team, you will build scalable, high-performance data solutions that support business intelligence, analytics, and enterprise reporting., * Design, develop, and maintain enterprise-scale data pipelines using Azure Databricks.

  • Build robust ETL/ELT solutions using Azure Data Factory and Microsoft Fabric.

  • Develop high-performance data processing solutions using Python, PySpark, and SQL.

  • Implement Delta Lake and Lakehouse architectures following industry best practices.

  • Work with Azure Data Lake Storage (ADLS Gen2) to manage large-scale datasets.

  • Optimise Spark workloads for performance, scalability, and cost efficiency.

  • Design and implement data models to support reporting and analytics.

  • Integrate datasets with Power BI for business reporting and visualisation.

  • Implement CI/CD pipelines using Azure DevOps and Git.

  • Collaborate with architects, business analysts, and stakeholders to deliver technical solutions.

  • Troubleshoot production issues and continuously improve platform performance.

Requirements

Why Join Us?

  • Outside IR35 contract

  • Opportunity to work on enterprise-scale Azure data projects

  • Flexible remote/hybrid working

  • Latest Microsoft Azure and Fabric technologies

  • Collaborative and supportive delivery team

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