Senior Data Engineer: SQL Data Warehouse Lead

Datatech Analytics; England; On-site; GBP 63,000 - 77,000; Full time

Job summary

Datatech Analytics is seeking an experienced Data Engineer to own a business-critical SQL data warehouse, supporting financial reporting and analytics while evolving the platform.

This hands-on role involves designing robust data pipelines in SQL and Python, collaborating with Finance and stakeholders to translate requirements into scalable solutions, and driving improvements including CI/CD and data quality monitoring.

Qualifications

• Strong SQL and Python development
• Experience managing and developing SQL data warehouses
• Experience with Microsoft SQL Server, SSIS and SSRS
• Experience building production-grade ETL and data pipelines
• Experience working with financial data and supporting reporting or planning functions
• Excellent communication skills with stakeholders
• Proactive, hands-on ownership mindset

Responsibilities

• Designing, building and maintaining scalable SQL and Python data pipelines.
• Managing and developing a business-critical SQL data warehouse.
• Supporting and enhancing Microsoft SQL Server, SSIS and SSRS solutions.
• Developing robust data models to support financial reporting, forecasting and planning.
• Working closely with Finance and business stakeholders to translate requirements into scalable data solutions.
• Driving engineering best practice, including version control, CI/CD, automated testing and documentation.
• Monitoring data quality, performance and pipeline health, resolving issues proactively.
• Supporting the ongoing evolution of the data platform and cloud environment.

Skills

SQL

Python

Data warehousing

ETL pipelines

SQL Server SSIS SSRS

Finance data

Communication

Ownership

Tools

SSIS

SSRS

SQL Server

Job description

Datatech Analytics is seeking an experienced Data Engineer to own a business-critical SQL data warehouse, supporting financial reporting and analytics while evolving the platform.

This hands-on role involves designing robust data pipelines in SQL and Python, collaborating with Finance and stakeholders to translate requirements into scalable solutions, and driving improvements including CI/CD and data quality monitoring.