Data Engineer — Python / SQL for Trusted Data Pipelines

Rise Technical Recruitment; Oxford; On-site; GBP 40,000 - 60,000; Full time

Job summary

Rise Technical Recruitment is seeking a Data Engineer (Python / SQL) for an Oxford-based, site-based role with a competitive salary and benefits package. You will help design, build and maintain data solutions that create a reliable Single Source of Truth across the business.

The role focuses on developing data pipelines, automations and dashboards using Python, SQL and SQLAlchemy, while collaborating with analysts and wider teams to translate operational needs into scalable technical solutions.

Qualifications

• Experience in Data Engineering or a data-focused role.
• Strong Python and SQL skills.
• Experience with databases, data modelling and data pipelines.
• Knowledge of modern data architecture principles.
• Experience with automation, workflows or dashboards is a plus.
• Familiarity with Skywise or Google AppSheet is advantageous.

Responsibilities

• Build and maintain a Single Source of Truth across multiple business applications.
• Develop and optimise data pipelines, workflows and integrations.
• Use Python, SQL and SQLAlchemy for data processing, modelling and database interaction.
• Develop automated workflows, applications and dashboards.
• Ensure data quality, integrity and availability for analytics.
• Collaborate with analysts to translate requirements into technical solutions.

Skills

Python

SQL

Data Pipelines

Data Modelling

Education

Bachelor's degree in Computer Science/Engineering

Tools

SQLAlchemy

Skywise

Google AppSheet

Job description

Rise Technical Recruitment is seeking a Data Engineer (Python / SQL) for an Oxford-based, site-based role with a competitive salary and benefits package. You will help design, build and maintain data solutions that create a reliable Single Source of Truth across the business.

The role focuses on developing data pipelines, automations and dashboards using Python, SQL and SQLAlchemy, while collaborating with analysts and wider teams to translate operational needs into scalable technical solutions.