Senior Data Analytics Engineer

Harnham; Greater London; Hybride; GBP 95 000 - 116 000; Plein temps

Résumé du poste

Harnham in London is seeking a Senior Data Engineer to join a growing Business Intelligence function that is investing heavily in a modern data platform. The role offers a London/hybrid setup and a salary up to £105,000, with a strong emphasis on shaping data solutions and influencing technical decisions.

You will work closely with senior stakeholders during the migration to a cloud-based architecture, build scalable pipelines, and mentor colleagues while contributing to AI and automation

Qualifications

• Strong commercial experience as a Data Engineer or Analytics Engineer.
• Advanced SQL skills and experience developing complex data solutions.
• Hands-on experience with Snowflake and dbt.
• Experience building and maintaining modern cloud-based data platforms.
• Knowledge of data warehousing and data modelling principles.
• Experience engaging directly with business stakeholders and gathering requirements.
• Familiarity with CI/CD practices and version control tools such as Git.
• Exposure to Python for data ingestion or automation would be beneficial.
• Experience with Power BI, semantic modelling, or analytics platforms would be advantageous.
• Financial services experience is welcome but not essential.

Responsabilités

• Design and implement scalable data pipelines and data models
• Gather and translate business requirements from non-technical stakeholders
• Support the migration of legacy SQL Server environments into Snowflake
• Build and maintain cloud-based data infrastructure
• Ensure data quality, performance, and reliability across reporting and analytics platforms
• Work closely with technical leadership on architectural decisions and best practices
• Support continuous improvement across data engineering processes, testing, deployment, and monitoring
• Contribute to future AI and automation initiatives across the business
• Mentor colleagues and promoting engineering best practices within the team

Connaissances

Advanced SQL

dbt

Cloud data platforms

CI/CD

Git

Python

Power BI

Stakeholder engagement

Outils

Snowflake

Description du poste

SENIOR DATA ENGINEER

LONDON/HYBRID

UP TO £105,000

This is an excellent opportunity for a Senior Data Engineer to join a growing Business Intelligence function that is investing heavily in its modern data platform. You'll play a key role in shaping data solutions, influencing technical decisions, and working closely with senior stakeholders as the business continues its migration to a cloud-based architecture.

ROLES AND RESPONSIBILITIES:

The Senior Data Engineer will:

• Design and implement scalable data pipelines and data models
• Gather and translate business requirements from non-technical stakeholders
• Support the migration of legacy SQL Server environments into Snowflake
• Build and maintain cloud-based data infrastructure
• Ensure data quality, performance, and reliability across reporting and analytics platforms
• Work closely with technical leadership on architectural decisions and best practices
• Support continuous improvement across data engineering processes, testing, deployment, and monitoring
• Contribute to future AI and automation initiatives across the business
• Mentor colleagues and promoting engineering best practices within the team

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience as a Data Engineer or Analytics Engineer
• Advanced SQL skills and experience developing complex data solutions
• Hands-on experience with Snowflake and dbt
• Experience building and maintaining modern cloud-based data platforms
• Knowledge of data warehousing and data modelling principles
• Experience engaging directly with business stakeholders and gathering requirements
• Familiarity with CI/CD practices and version control tools such as Git
• Exposure to Python for data ingestion or automation would be beneficial
• Experience with Power BI, semantic modelling, or analytics platforms would be advantageous
• Financial services experience is welcome but not essential