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