Senior Data Engineer

• Design, build and maintain data pipelines, ETL processes and data models


• Make and document architectural and data-modelling decisions


• Integrate and transform diverse data sources into a reliable, unified data platform


• Design and implement database schemas for large volumes of structured and unstructured data


• Build scalable and maintainable data solutions supporting analytics, reporting, operational processes and data-driven products


• Champion engineering standards across SQL, Python, testing, documentation and code review


• Review designs and code produced by other engineers


• Identify and address technical debt and improve the data platform


• Optimise data solutions using partitioning, indexing and caching


• Develop and maintain data quality processes


• Improve reliability, observability and performance of data solutions


• Collaborate with product managers, developers, data colleagues and business stakeholders to define requirements


• Diagnose and resolve performance and production issues


• Coach and mentor engineers


• Keep up to date with data engineering developments and evaluate new technologies


• Participate in the team’s out-of-hours support rota where required

Requirements

• Strong commercial data engineering experience, ideally in a senior or lead capacity


• Significant experience delivering production data engineering solutions


• Advanced SQL and an excellent understanding of databases


• Strong Python skills for data engineering


• Strong understanding of data warehousing and dimensional/data modelling


• Experience designing and operating production data pipelines


• Experience with a modern cloud data warehouse such as Snowflake, BigQuery or Redshift


• Experience with automated testing, version control and CI/CD


• Strong understanding of data quality, reliability and observability


• Experience diagnosing performance and production issues


• Ability to make, document and communicate technical design decisions


• Experience mentoring or supporting other engineers


• Excellent written and verbal communication skills


• Desirable: Experience with Snowflake, dbt or Fivetran


• Desirable: Experience working with AWS / Glue


• Desirable: Experience with MySQL or SQL Server


• Desirable: Experience with Salesforce


• Desirable: Familiarity with JSON and data integration formats

Core Competencies

Demonstrates expertise in designing and maintaining data pipelines, ETL processes, and data models, with a strong focus on SQL and Python for data engineering. Proven ability to optimize data solutions for performance and reliability while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

• Data Engineering Experience


• Advanced SQL Skills


• Strong Python Skills


• Cloud Data Warehouse Experience


• Data Quality and Reliability

Hard Skills

• Data Pipeline Design


• ETL Processes


• Data Modelling


• Database Schema Design


• Automated Testing


• Version Control


• CI/CD


• Performance Diagnosis


• Data Quality Processes


• Technical Documentation

Soft Skills

• Excellent Communication Skills


• Mentoring and Coaching

Industry Keywords

• Data Warehousing


• Dimensional Modelling


• Data Integration


• Observability


• Technical Debt

Tools & Technologies

• Snowflake


• BigQuery


• Redshift


• AWS


• Glue


• MySQL


• SQL Server


• Dbt


• Fivetran


• JSON