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Senior Data Engineer

4 days ago25 views
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description

PBT Group is seeking an experienced Senior Data Engineer to strengthen its data platform and analytics capabilities. This role is suited to a hands-on, technically strong engineer with deep experience in data warehousing, SQL-based transformations, and modern cloud data stacks.

 

The successful candidate will play a key role in designing, building, and optimising scalable data pipelines and warehouse solutions that support enterprise analytics, reporting, and business decision-making.

 

 

Key Responsibilities

  • Design, develop, and maintain enterprise-grade data warehouse solutions
  • Build and optimise data transformation pipelines using DBT
  • Develop complex, high-performance SQL queries and models
  • Work extensively with Snowflake and legacy platforms such as Sybase IQ
  • Develop and maintain data pipelines using Python
  • Implement data engineering best practices including version control, testing, and documentation
  • Collaborate with analytics, BI, and business teams to support reporting and insights
  • Contribute to CI/CD processes using Azure DevOps / Git
  • Ensure data quality, performance, and reliability across the data platform

 

 

Minimum Requirements

Experience

  • 7+ years’ experience in Data Engineering or related roles
  • Strong background in Data Warehousing and dimensional modelling
  • Proven experience working in enterprise-scale data environments

 

 

Technical Skills

Strong hands-on experience with:

  • SQL (advanced query development and optimisation)
  • DBT (models, testing, documentation, and deployment)
  • Snowflake (data modelling, performance tuning)
  • Sybase IQ (or similar large-scale analytical databases)
  • Python (ETL, data processing, automation)
  • Azure DevOps / Git (source control, CI/CD pipelines)

 

 

Preferred Experience

  • Cloud-based data platforms (Azure preferred)
  • Experience supporting BI and analytics teams
  • Exposure to modern data engineering patterns and architectures
  • Financial services or insurance industry experience

 

 

Key Competencies

  • Strong problem-solving and analytical skills
  • Ability to work hands-on and independently
  • Excellent collaboration with cross-functional teams
  • Attention to detail and data quality
  • Delivery-focused with a continuous improvement
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Executive Placements
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