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- Tasks: Lead the Data and Intelligence Engineering team, shaping strategy and driving operational excellence.
- Company: Join a fast-growing company known for its reliable datasets in the crypto ecosystem.
- Benefits: Enjoy hybrid working, generous leave, and a $1,000 learning budget for personal growth.
- Why this job: Make a real impact by building scalable data infrastructure that empowers teams across the business.
- Qualifications: Experience leading engineering teams and managing data infrastructure in a product-focused environment.
- Other info: Be part of a dynamic culture that values innovation, collaboration, and personal development.
The predicted salary is between 43200 - 72000 ÂŁ per year.
The impact you will have: As Head of Engineering, you will lead the Data and Intelligence Engineering organisation, setting the technical direction, shaping the team structures, and driving engineering and operational maturity across the domain. Your ownership will span the ingestion of external and intelligence data sources through to the serving of foundational datasets that underpin our products. As the business scales rapidly, you will ensure that our data pipelines, infrastructure, and engineering practices scale with it, enabling reliable, high‑performance data flows and empowering teams across the company to build on robust, well‑engineered foundations. You will be the strategic and technical leader for this organisation, working closely alongside senior engineers, product, and intelligence to build the operating model, shape the strategy, and mature the organisation while keeping existing delivery on track and earning the trust and confidence of the team and your peers. Elliptic is known for its extensive and reliable datasets. You will play a critical role in ensuring that reputation scales. You will define how data is built, operated, and evolved as the business grows. The data platform serves product, intelligence, commercial, finance, and operations teams, and you will be the primary point of contact across all of them.
What you will do:
- Own the technical vision and platform roadmap for the data domain, working with principal engineering on architectural decisions that balance business need, reliability, cost, and innovation.
- Build and mature the domain’s organisational structure, team boundaries, ownership models, ways of working, and hiring plans.
- Set delivery standards and cadences that improve predictability without killing velocity.
- Drive operational excellence. Help steer SLAs, observability, data quality practices, and incident response, ensuring the platform is reliable, measurable, and continuously improving.
- Serve as the face of data engineering across product, commercial, intelligence, operations, and finance.
- Work closely with engineering managers to build a clear picture of team performance and contribute to hiring, development, and retention of strong engineering leaders.
- Navigate the tension between supporting product and revenue teams and building reliable, scalable infrastructure. Demonstrate honesty and integrity when communicating what can and can’t be prioritised. Go beyond the “what” of priorities and own the “why” too.
- Grow into increasing scope and responsibility as the engineering function scales and matures.
You will be a great fit here if you:
- Get energy from building and scaling, developing teams, structures, practices, and strategies that enable sustained growth and technical excellence.
- Stay close to the technology and can go deep in an architecture review, but know your job is to lead through others.
- Think about data infrastructure as a platform with internal customers, not just a collection of pipelines.
- Start from what the business needs and work backwards to what the platform should look like. Can paint a clear picture of platform excellence and lay out a vision for future platform capabilities and performance, and inspire others to rally around it.
- Can hold high standards and genuine warmth for your people, challenging and supporting them to develop, grow, and achieve their full potential.
- Push back when you need to, clearly and kindly, while keeping relationships intact.
- Are honest about where you’re still growing and want a coaching relationship, not just a reporting line.
Our ideal candidate has:
- Led a multi‑team engineering organisation, accountable for delivery success and for fostering the growth and development of your teams.
- Led through others, fostering empowered teams and strong technical leadership at every level.
- Owned data infrastructure in a product company where they felt the weight of reliability, cost and stakeholder expectations simultaneously.
- Maintained workstreams of innovation and operational excellence side by side.
- Built something organisational from scratch. For example a team, a capability, a delivery practice, an operating cadence.
- Worked directly with product, analytics, or business stakeholders to manage competing demands and communicate trade-offs.
Bonus Points for:
- Having a genuine interest in the crypto ecosystem and being behind the mission of the company.
- Experience at a company in a similar growth phase - scaling a data/engineering cohort from ~20 into something meaningfully larger.
- Breadth across data engineering, operations, BI enablement, and product. You understand the full value chain from ingestion to decision and can make strong recommendations with little oversight.
Job Benefits
- How we work: Hybrid working and the option to work from almost anywhere for up to 90 days per year. ÂŁ500 Remote working budget to set up your home office space.
- Learning & Development: $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development.
- Vacation/ Leave: Holidays: 25 days of annual leave + bank holidays. An extra day for your birthday. Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave.
- Benefits: Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support. Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries. ÂŁ100 Crypto for you! Cycle to Work Scheme.
Head of Engineering - Data & Intelligence employer: Elliptic
Contact Detail:
Elliptic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering - Data & Intelligence
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your engineering prowess, make sure to share them. Whether it’s on GitHub or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and recent projects. Tailor your questions to show you’re genuinely interested in their challenges and how you can help solve them. It’s all about demonstrating your value!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team. Let’s get you on board!
We think you need these skills to ace Head of Engineering - Data & Intelligence
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and engineering shine through. We want to see how you connect with the mission of the company and how your experience aligns with our goals.
Tailor Your Application: Make sure to customise your application to highlight relevant experiences that match the job description. We love seeing how your past roles have prepared you for leading a multi-team engineering organisation like ours.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Head of Engineering role. Remember, less is often more!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Elliptic
✨Know Your Data Inside Out
As a candidate for the Head of Engineering role, you should be well-versed in data infrastructure and engineering practices. Brush up on your knowledge of data pipelines, SLAs, and observability metrics. Be ready to discuss how you've previously tackled challenges related to data reliability and performance.
✨Showcase Your Leadership Style
This role requires strong leadership skills, so prepare to share examples of how you've built and scaled teams in the past. Highlight your approach to fostering empowered teams and how you’ve navigated the balance between supporting product needs and maintaining robust infrastructure.
✨Communicate Your Vision
Be prepared to articulate your vision for the data domain and how it aligns with the company's goals. Discuss how you would approach building a technical roadmap and what steps you would take to ensure operational excellence while driving innovation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to manage competing demands from various stakeholders. Think about past experiences where you had to make tough prioritisation decisions and how you communicated those trade-offs effectively while maintaining strong relationships.