At a Glance
- Tasks: Lead the strategic direction of Data Engineering, Analytics, and AI/ML Ops.
- Company: Join a passionate team at BI:PROCSI, committed to innovation and personal growth.
- Benefits: Remote work with flexible hours, competitive salary, and a focus on work-life balance.
- Why this job: Shape cutting-edge data solutions and influence C-Suite strategies in a dynamic environment.
- Qualifications: Extensive experience in data consultancy and strong leadership skills required.
- Other info: Be part of a diverse team that values innovation and continuous improvement.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Location - Remote, with one day in London once every two weeks (Holborn)
Overview
We are hiring a Head of Data Engineering to shape and own the strategic direction of BI, Data Engineering, Analytics, and AI/ML Ops across BI:PROCSI. You will provide both hands‑on technical leadership and portfolio‑level oversight, ensuring our solutions scale, align with client objectives, and accelerate BI:PROCSI’s growth. This role blends deep technical expertise, architectural leadership, C‑Suite engagement, cross‑practice alignment, and responsibility for practice‑wide standards, frameworks, and innovation. You will own high‑value client relationships, lead technical strategy in presales, and ensure all commitments are realistic, scalable, secure and commercially sound. You will guide teams in delivering resilient, compliant, enterprise‑grade data solutions tailored to client strategic outcomes.
Key Responsibilities
- Set technical standards across BI, Data Engineering, Analytics, and AI/ML Ops.
- Lead solution architecture for proposals, RFPs, and major client engagements.
- Define DataOps/MLOps best practice and ensure pipelines are scalable and secure.
- Shape integration and cloud architecture across all projects.
- Own quality, SLAs, and technical risk across the portfolio.
- Advise C‑Suite stakeholders on data, analytics, and AI strategy.
- Drive cross‑practice alignment and continuous improvement.
- Define CI/CD, security, and compliance standards.
- Lead innovation and introduce modern architectures (lakehouse, mesh, feature stores).
- Coach senior technical talent and shape capability growth.
- Manage partner strategy and represent BI:PROCSI externally.
Qualifications
- Extensive experience in a senior/practice leadership role within a technology or data consultancy.
- Proven track record shaping data, analytics, and AI/ML engineering strategies at enterprise scale.
- Significant experience owning and influencing C‑Suite relationships.
- Deep expertise in Data Engineering, Data Warehousing, SQL, cloud‑native data platforms, and modern analytics architectures.
- Strong experience with DataOps/MLOps, pipeline orchestration, CI/CD, security and compliance.
- Experience leading presales engagements, proposals, RFP responses, and technical scoping.
- Strong background in managing multiple delivery streams and complex technical portfolios.
- Ability to challenge, influence, and guide cross‑functional teams on architectural decisions.
- Ability to communicate technical concepts clearly to non‑technical and executive audiences.
- Experience evaluating and implementing modern architectures including lakehouse, data mesh, and feature stores.
- Experience representing a consultancy in industry forums or partner advisory boards.
- Experience driving practice‑wide innovation or capability uplift initiatives.
Why BI:PROCSI
We started this company with a goal — a goal to be the very best. We don’t just believe it; we know our team is our biggest asset. We’re a group of passionate innovators, obsessed with personal growth, that believes in challenging the status quo to ensure we come up with the best solutions. We have a phenomenal culture, unparalleled drive, and every single person in our team is very carefully selected to make sure we maintain this. We are diverse, and we celebrate that. We are whole people, with families, hobbies and lives outside of work and make sure we have a healthy work‑life balance. We are rapidly expanding and on a growth trajectory. We are continuously hiring at all levels across Business Intelligence, Analytics, Data Warehousing, Data Science and Data Engineering.
Head of Data Engineering in London employer: BI:PROCSI
Contact Detail:
BI:PROCSI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in Data Engineering and AI/ML. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your technical knowledge and be ready to explain complex concepts in simple terms. Remember, they want to see how you communicate with non-techies too!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Head of Data Engineering in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data engineering and analytics. We want to see how your skills align with our mission at BI:PROCSI, so don’t hold back on showcasing your relevant achievements!
Showcase Your Leadership Skills: As a Head of Data Engineering, we’re looking for someone who can lead and inspire teams. Use your application to demonstrate your past leadership experiences, especially in shaping strategies and managing complex projects. Let us know how you’ve influenced C-Suite relationships too!
Be Clear and Concise: When writing your application, clarity is key! We appreciate straightforward communication, especially when it comes to technical concepts. Make sure your application is easy to read and gets straight to the point about your qualifications and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, you’ll get to explore more about our culture and values while you’re there!
How to prepare for a job interview at BI:PROCSI
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around Data Engineering, Data Warehousing, and modern analytics architectures. Be ready to discuss your experience with DataOps/MLOps and how you've implemented scalable solutions in the past.
✨Engage with C-Suite Scenarios
Since this role involves advising C-Suite stakeholders, prepare examples of how you've influenced executive decisions in previous roles. Think about how you can communicate complex technical concepts in a way that resonates with non-technical audiences.
✨Showcase Your Leadership Skills
Be prepared to talk about your experience in leading teams and managing multiple delivery streams. Highlight specific instances where you've coached senior technical talent or driven innovation within your team or organisation.
✨Align with Company Culture
BI:PROCSI values personal growth and challenging the status quo. During your interview, share how you embody these values and how you can contribute to their phenomenal culture. Show them you're not just a fit for the role, but for the team as well.