15gifts is a private equity backed, Brighton-based company, we pride ourselves on fostering a culture that celebrates brilliance, encourages ownership, and champions continuous innovation.
Our products empower customers of leading global brands like Verizon, Vodafone, O2, Three and Tesco Mobile to make confident decisions online. Building on our 12 years as market leader in guided e-commerce, we're now entering an exciting new growth stage. We're on a mission to create a virtual sales agent that performs better than a human sales agent.
We're looking for a Data Engineering Manager to lead a small team in building a key part of our data infrastructure - evolving and scaling the ingestion of customer product catalogues into our internal systems. This role blends people management, individual contribution, and technology leadership.
People Management: You will lead and mentor a small team of Data Engineers, fostering a high-performance culture by guiding their professional growth and ensuring effective communication within the team and with stakeholders. Your strong interpersonal skills will enable you to bring out the best in your team members.
Individual Contribution: As a confident individual contributor, you will take ownership of project briefs, effectively elicit requirements, and design robust architectural plans. You will also champion the importance of thorough testing and ensure alignment with stakeholder expectations throughout the development process.
Technology Leadership: You will guide strategic decision-making regarding technology and architecture, ensuring solutions are scalable, cost-effective, and flexible enough to meet diverse customer needs. This involves a strong understanding of engineering trade-offs, collaborative design, and proactive roadmap planning, with an openness to exploring innovative solutions like generative AI where appropriate.
We work with an Airflow / AWS / Fivetran / Snowflake / Looker stack and typically use Python and Docker in our pipelines. You'll need to be highly proficient in these or similar tools and comfortable navigating a modern data ecosystem.
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