Job Description

THE ROLE

The Data Engineer will directly report into the Global Head of Performics Labs, but will have a dotted line into the T&I engineering team, which will provide most day to day management functions. They will work in a small team to deliver MVPs based on the needs of markets, fed in by the global centres of excellence and channel leadership; the strategic priorities of Performics, fed in by the Performics product steering committee; and the latest developments in the martech landscape.

The Data Engineer will work within an operational framework aligned with the UK T&I team, providing infrastructure, ops processes, tools etc. as a foundation to increase efficiency. Within this framework, the Data Engineer will need to proactively drive MVP development, including ideation and technical development, sometimes working as part of a small team (potentially including other engineers, data scientists, UX support and/or ops support) and sometimes individually, based on the specific needs of the project. As such, this is a role for a proactive, energetic developer who wants to experiment, learn and keep moving; as comfortable self-directing on owned projects as taking direction on larger collaborations.

KEY RESPONSIBILITIES

• Analyse defined inputs and ideate technical solutions to address challenges / capitalise on opportunities
• Design or support solution architecture and implementation plans for MVPs
• Conduct feasibility research and build proof of concepts for MVPs
• Build or collaborate in building MVPs
• Collaborate with Head of Performics Labs, T&I Client Development team and Global Channel Leads to deploy MVPs onto pilot clients
• Collaborate with Labs scaling team to hand-off successful MVPs for scaling

Qualifications

Must Have skills

• Extensive experience using Python and SQL
• Good knowledge of cloud infrastructure (esp. Google Cloud Platform)
• Experience in application development
• Knowledge of ETL pipelines

Nice/Good to Have skills

• Experience with key marketing platform APIs (e.g. Google, Meta, Amazon APIs)
• Domain expertise in digital marketing
• Experience in front-end development (e.g. JavaScript, React)
• Good understanding of agile methodology