Head of Data Engineering

BI:PROCSI
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 91K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Data analysis
Cloud Computing
Cloud Engineering
Continuous Integration
Information Engineering
Data Systems
Data Warehousing
DataOps
SQL Databases
Data Management
Machine Learning Operations

Job description

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.

Requirements

  • 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.

Benefits & conditions

  • 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 (*nerds), 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.

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