Senior Data Analytics Engineer

Harnham
London, United Kingdom
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
£85,000 - £105,000
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Cloud Database Continuous Integration Information Engineering Data Systems Data Warehousing Python (Programming Language) Microsoft SQL Server Power BI SQL Databases
+7 more
Cloud Platform System Sql Optimization Snowflake Git Data Analytics Data Management Data Pipelines

Job description

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., 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

Requirements

The ideal candidate will have the following 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, * Data Analysis
  • Data Modeling
  • Dialectical Behavior Therapy
  • Power BI
  • Python Programming
  • Self-Motivation
  • SQL Databases
  • Stakeholder Management
  • Teamwork
  • Visualization

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