Engineering Manager Data Team

About the Position:

We’re growing fast and our Engineering team will double in size over the next 3 months and we are looking for an Engineering Manager to join Bluefish’s engineering leadership team. This is not just a leadership role; it’s a unique opportunity to help shape the foundation of a fast-moving, product-driven startup during a critical phase of growth.

In this role, you will lead our Data Engineering team, which is responsible for the pipelines and infrastructure powering our AI-driven commerce intelligence platform. Our systems acquire and process hundreds of millions of synthetic prompts and signals, and the platform is expected to scale significantly as our traffic grows rapidly over the coming months.

A major focus of this role is helping the team evolve our data platform toward a scalable data lake architecture while maintaining reliability for critical production pipelines used by enterprise customers.

You’ll lead the charge on execution, quality, and team culture. You'll help transform early-stage velocity into mature, high-performing teams, without losing the edge and pace that define great startups.

At the same time, you will help the team move from a highly reactive operational mode toward a more sustainable, scalable engineering model, reducing incidents and freeing engineers to focus on higher-impact work such as platform improvements and new capabilities, while retaining excellent incident response practices.

The role is linked with our location in London, but we are fully remote in UK.

What you’ll be doing:

• Manage and support a team of 6 Data Engineers distributed across Europe, helping them focus on the most impactful technical initiatives as the platform scales.
• Drive execution excellence, ensuring the team delivers with high velocity, quality, and reliability, while maintaining strong cross-functional alignment. Implement and evolve processes, tools, and metrics to support scalable and repeatable delivery.
• Lead efforts to reduce operational incidents and improve pipeline reliability, helping the team move away from reactive firefighting toward proactive engineering.
• Foster a healthy and sustainable team environment by helping the team manage workload, reduce burnout, and focus on meaningful engineering work.
• Help position Data Engineering as a center of excellence for data, promoting best practices around data ownership, data platforms, and data-driven decision making across teams. Provide technical capabilities and repeatable patterns to enable the whole organization to use data at scale.
• Contribute in code reviews and establish processes that keep pushing the bar on engineering excellence. While you might not code every day, you should be capable of engaging deeply on architecture, technical decisions, and trade-offs.
• Identify and address bottlenecks, inefficiencies, or misalignments, always looking for ways to r