Python Data Engineer

Data Science Festival; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading digital media company in the United Kingdom is seeking a Python Data Engineer. This role involves building scalable ETL/ELT data pipelines, optimizing data infrastructure, and delivering insightful tools. The ideal candidate has strong experience in Python, cloud technologies like GCP and AWS, and a solid understanding of data modeling. If you are eager to combine engineering with strategic business impact, this is the role for you.

Qualifications

• Strong understanding of Python and/or PySpark required.
• Experience with GCP (BigQuery) and AWS (Redshift) is essential.
• Proficiency in building ETL/ELT pipelines and using APIs or SFTP.

Responsibilities

• Build and optimize end-to-end ETL/ELT data pipelines using APIs.
• Develop scalable data models supporting various revenue functions.
• Manage complex data infrastructure processing high-volume Big Data.

Skills

Strong Python and/or PySpark

Experience with cloud technologies such as GCP and AWS

Building ETL/ELT pipelines

Understanding of data modelling and warehousing

Strong analytical and creative problem-solving skills

Job description

Python Data Engineer

Contract – £500 – £600pd
Location: London – 2 days per week

We are currently looking for an Data Engineer to join our fast-paced, data-driven tech team within a global digital media environment. You’ll play a crucial role in shaping how the business collects, models, and activates data across multiple commercial and editorial functions. In this hands‑on role, you will architect and build scalable data pipelines, optimise infrastructure, and deliver high‑value insight tools that empower decision makers. The Data Engineer will work closely with commercial, product, and analytics teams, making this position vital to the organisation’s long‑term data strategy.

The Opportunity

As an Data Engineer, you’ll combine engineering, analytics, and product thinking to create a reliable, high-performing data ecosystem. You’ll have the opportunity to work with modern cloud technologies, large-scale datasets, and a business that truly values data as a strategic asset.

Key Responsibilities

• Building, operating, and optimising end‑to‑end ETL/ELT data pipelines using APIs, SFTP, and containerised orchestration tools.
• Developing scalable and well‑structured data models that support commercial, programmatic, and affiliate revenue functions.
• Managing and improving complex data infrastructure that processes high‑volume, multi‑source Big Data.
• Creating, maintaining, and enhancing interactive dashboards that drive KPI‑focused decision‑making.
• Owning data quality, ensuring accuracy, consistency, and reliability across all core datasets.
• Analysing campaign, monetisation, and platform performance and providing actionable insights.
• Collaborating with Operations, Sales, Marketing, Finance, and Senior Analytics teams.
• Supporting strategic projects with advanced data modelling and insight generation.

This role stands out because it sits at the intersection of engineering and commercial impact, your work directly supports revenue optimisation, global reporting, and critical business decisions.

Skills and Experience

• Strong Python and/or PySpark
• Experience with cloud technologies such as GCP (BigQuery, Compute Engine, Kubernetes) and AWS (Redshift, EC2).
• Experience building ETL/ELT pipelines and working with APIs or SFTP integrations.
• Understanding of data modelling, warehousing, and Big Data environments.
• Strong analytical and creative problem‑solving skills.
• Ability to manage projects and collaborate effectively in a team.
• Experience creating util packages in Python

If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below.