Data Engineer — Build & Optimize Pipelines (Flexible Hours)

Ogury; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Flexible hours and location

Pension contributions

Comprehensive benefits

Generous holidays

Job summary

Ogury is seeking a motivated Data Engineer to join our Data Reporting team in the UK. You will organize and maintain the data stack, ensuring data availability and efficient reporting for internal and external clients such as Ogury One.

You will collaborate with data platform, persona, and SSP teams to optimize architecture, model data, and deliver actionable insights. This role suits someone with hands-on experience in pipelines and a passion for making data accessible to business users.

Qualifications

• 3–4 years of experience as a Data Engineer or similar role.
• Strong SQL, DBT, and data cataloging knowledge.
• Experience building ETL pipelines with SQL and Python.
• Understanding of data modeling and reporting processes.
• Operational mindset with ability to support business teams.
• Excellent communication with product teams and stakeholders.

Responsibilities

• Re-organize and clean up the current data stack to meet product and reporting needs.
• Create and manage reporting systems and data pipelines for clients and business users.
• Collaborate with product teams and stakeholders to identify reporting requirements.
• Focus on data modelling and ETL to ensure high-quality data for reporting.
• Provide operational support and troubleshoot data workflows.
• Ensure systems are designed for sustainability and ongoing improvements.

Skills

SQL

DBT

Data Cataloging

ETL Pipelines

Python

Data Modelling

Job description

Ogury is seeking a motivated Data Engineer to join our Data Reporting team in the UK. You will organize and maintain the data stack, ensuring data availability and efficient reporting for internal and external clients such as Ogury One.

You will collaborate with data platform, persona, and SSP teams to optimize architecture, model data, and deliver actionable insights. This role suits someone with hands-on experience in pipelines and a passion for making data accessible to business users.