At a Glance
- Tasks: Lead a dynamic Data Engineering team and shape our AI-driven platform's future.
- Company: Join Bluefish, a fast-growing startup at the forefront of AI marketing.
- Benefits: Enjoy remote work flexibility, competitive salary, and significant career growth opportunities.
- Other info: Be part of a tight-knit team with a strong focus on innovation and excellence.
- Why this job: Make a real impact in a cutting-edge environment while tackling exciting challenges.
- Qualifications: Experience in leading engineering teams and working with data platforms is essential.
The predicted salary is between 80000 - 100000 £ per year.
We’re growing fast and our Engineering team will double in size over the next 3 months. This is 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 the 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.
- Identify and address bottlenecks, inefficiencies, or misalignments, always looking for ways to raise the bar.
As our Engineering Manager you will:
- Have experience leading and scaling high-performing engineering teams in multiple organizations.
- Have experience working with data platforms, data pipelines, or data infrastructure, and understand concepts such as data lakes, data warehousing, and large-scale data processing.
- Ideally have a background as a Data Engineer or Backend Engineer working with data systems, with experience in technologies such as Python, TypeScript and cloud-native infrastructure (ideally AWS).
- Have experience operating in environments with high data volume, complex orchestration, rapidly evolving systems, and strong reliability requirements.
- Have a strong understanding of organizational architecture, domain-driven design, and their impact on data flow modelling.
- Lead with humility, clarity, and high standards.
- Have previous experience in a startup environment and thrive in fast-moving, ambiguous situations.
About Bluefish:
Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.
Why Bluefish & Our Values:
- Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI.
- Tackle challenging and abstract problems while disrupting the $300B legacy mar-tech industry.
- Join an experienced high-performing team where you will have immediate ownership and impact.
- Experience a true meritocracy with significant career growth upside as the business scales.
Our Values:
- Demonstrated grit and resourcefulness – you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
- Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
- Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
- Commitment to craftsmanship – you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
- Self-starter with a proactive mindset and a strong sense of accountability – able to drive projects forward independently while staying aligned with team goals.
- Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.
Engineering Manager (Data Team) in London employer: Bluefish AI
Contact Detail:
Bluefish AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager (Data Team) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Bluefish. A friendly chat can open doors and give you insider info about the company culture and what they’re really looking for.
✨Tip Number 2
Prepare for the interview by diving deep into Bluefish’s mission and values. Show us how your experience aligns with our goals, especially around data engineering and team leadership. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've led teams, tackled challenges, and driven results. We want to hear about your journey and how you can help shape our data team.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you note can leave a lasting impression. It shows you’re keen and professional, which is exactly the kind of attitude we value at Bluefish.
We think you need these skills to ace Engineering Manager (Data Team) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience with data platforms and team leadership, showing how you can help us scale our Data Engineering team effectively.
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics and examples to illustrate how you've driven execution excellence and improved pipeline reliability, as these are key for us.
Be Authentic: We want to get to know the real you! Don’t hesitate to share your personal journey and what excites you about working in a fast-paced startup environment. Authenticity goes a long way in helping us understand if you’re the right fit.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for this exciting opportunity with Bluefish!
How to prepare for a job interview at Bluefish AI
✨Know Your Data Inside Out
Make sure you’re well-versed in data platforms, pipelines, and architectures like data lakes. Brush up on your knowledge of Python, TypeScript, and cloud-native infrastructure, especially AWS. Being able to discuss these topics confidently will show that you’re ready to lead the Data Engineering team.
✨Showcase Your Leadership Style
Prepare to talk about your experience leading high-performing teams. Think of specific examples where you’ve fostered a positive team culture or improved processes. Highlight how you balance hands-on involvement with empowering your team, as this is crucial for the role.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've tackled operational incidents or inefficiencies in the past. Share concrete examples of how you’ve moved teams from reactive to proactive engineering. This will illustrate your ability to drive execution excellence and improve pipeline reliability.
✨Align with Company Values
Familiarise yourself with Bluefish’s values and be prepared to discuss how your personal values align with theirs. Show that you’re adaptable, resourceful, and committed to craftsmanship. This will help you stand out as a candidate who fits well within their culture.