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 mindset

Ideal Candidate Profile

The ideal candidate is a senior, technically capable Data Engineer who:

• Is comfortable working across modern and legacy data platforms
• Has deep SQL and data modelling expertise
• Enjoys building robust, scalable data solutions
• Can operate effectively in complex enterprise environments

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* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.