Engineering Manager – Data

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🌐 United Kingdom, South Africa, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇿🇦 South Africa – Remote 🇷🇴 Romania – Remote 🇵🇹 Portugal – Remote 🇵🇱 Poland – Remote 🇮🇪 Ireland – Remote 🇭🇺 Hungary – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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Primer

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

Fintech • Payments

Primer is a company that offers a unified payment infrastructure, enabling businesses to streamline and optimize their payment processes. With its advanced technology, Primer provides solutions for managing payments, boosting conversion, enhancing payment success rates, and creating seamless checkout experiences. The platform is designed to give businesses the flexibility to integrate and customize their payment stack easily, connect with multiple payment services, and deploy fraud prevention tools. Primer aims to accelerate global growth for companies by simplifying payment operations, reducing fraud, and enhancing customer experiences.

📋 Description

• Own end-to-end delivery across the data platform, including streaming, warehousing, modelling, and pipelines • Lead, coach, and grow data engineers through career development, feedback, and performance management • Review real-time streaming designs and evaluate warehouse architecture and data-modelling trade-offs • Ensure reliable data contracts, documented models, and changes that do not silently break downstream consumers • Take ownership of delivery and people leadership for the ML function as it grows • Partner with Product and engineering leadership on roadmaps, risks, and team prioritisation • Drive data-quality monitoring, incident response, and post-mortems • Embed FinOps practices, cost visibility, and platform cost accountability • Report to a Senior Engineering Manager and partner with Product, engineering, finance, and revenue operations

🎯 Requirements

• Experience managing a team of data engineers, accountable for delivery, growth, and performance • Technical depth in streaming architecture, data modelling, and production-scale systems • Experience building and operating data platforms at scale • Experience with medallion architecture, event streaming, warehousing, and transformation frameworks such as DBT • Experience coaching engineers across a broad seniority range, including Staff-level talent • Exposure to machine learning, including managing or supporting ML engineers and understanding production model lifecycles • Ability to operate with high autonomy and resolve ambiguity • Nice to have: payments, fintech, or finance-domain experience • Nice to have: Kafka, Snowflake, Firebolt, DBT, AWS, Terraform, Kubernetes, and data mesh concepts

🏖️ Benefits

• Competitive share options • Uncapped holiday, with 25 days minimum to be taken • Co-working space access across major cities • Workations and company retreat • The best equipment for your role • £500 towards your home office setup • Generous learning budget • Private Medical Insurance • Additional perks and benefits depending on location • Strong onboarding • Collaborative environment