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Engineering Manager - Data

CompraTica Empleos

EMP:Technology
United Kingdom
Tiempo Completo
Remoto
0 vistas

Descripción

An Introduction to PrimerPrimer is the unified infrastructure for global payments.

We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform.

Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on.

Watch our showcase >Read up on our $100m Series CLearn more.

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our culture >Which team will you be joining?Every payment that flows through Primer generates data, and the Data team is what turns that torrent into something merchants and the business can actually use

We build and operate the data platform behind Primer's unified payments infrastructure, the event streaming architecture powering real-time payments analytics, the data lakehouse that makes payments data trustworthy and queryable at scale, and the pipelines that feed everything from merchant-facing insights to internal decision-making.

The team is small and senior - a tight group of data engineers, including Staff-level talent, operating with a high degree of autonomy.

Alongside it sits Primer's emerging ML function, which will fold into this role's remit as it matures.

You'll lead the Data team as its Engineering Manager owning delivery, growth, and technical direction, reporting into a Senior Engineering Manager and partnering closely with Product and other teams across engineering, finance and revenue operations.

What will you be doing?Own delivery end to end across the data platform: streaming, warehousing, modelling, and the pipelines in between, holding the team to a consistent bar on quality and pace without becoming the bottleneck yourselfLead, coach, and grow the engineers on your team: career development, feedback, performance, and building an environment where the team does its best workStay technically credible.

You'll review designs for real-time streaming systems, evaluate trade-offs in warehouse architectur.

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