Engineering Manager – Data

This is a fully remote position, open to applicants in United Kingdom, +6 more countries.

📋 Description

• Take complete ownership of the delivery process across the data platform, which includes streaming, warehousing, modeling, and pipelines.

• Mentor, guide, and develop data engineers through career advancement, performance feedback, and management.

• Assess real-time streaming designs and analyze warehouse architecture along with data modeling trade-offs.

• Ensure the establishment of reliable data contracts, maintain documented models, and implement changes that do not adversely affect downstream consumers.

• Assume responsibility for delivery and leadership of the ML function as it expands.

• Collaborate with Product and engineering leadership on roadmaps, risks, and team prioritization.

• Lead initiatives for data-quality monitoring, incident management, and conducting post-mortem analyses.

• Integrate FinOps practices to enhance cost visibility and accountability within the platform.

• Report directly to a Senior Engineering Manager and work alongside Product, engineering, finance, and revenue operations teams.

⛳️ Requirements

• Proven experience in managing a team of data engineers, responsible for their delivery, growth, and performance.

• Strong technical expertise in streaming architecture, data modeling, and large-scale production systems.

• Experience in building and maintaining data platforms at scale.

• Familiarity with medallion architecture, event streaming, warehousing, and transformation frameworks such as DBT.

• Experience in coaching engineers across a wide range of seniority, including Staff-level talent.

• Exposure to machine learning, including managing or supporting ML engineers and an understanding of production model lifecycles.

• Capability to work independently and navigate through ambiguity effectively.

• Nice to have: experience in payments, fintech, or finance domains.

• Nice to have: familiarity with Kafka, Snowflake, Firebolt, DBT, AWS, Terraform, Kubernetes, and data mesh concepts.

🏝️ Benefits

• Competitive share options.

• Unlimited holiday policy, with a minimum of 25 days to be taken.

• Access to co-working spaces in major cities.

• Opportunities for workations and company retreats.

• Provision of top-quality equipment for your role.

• £500 contribution towards your home office setup.

• Generous budget for learning and development.

• Private Medical Insurance.

• Additional perks and benefits depending on your location.

• Comprehensive onboarding process.

• A collaborative working environment.