Head of Engineering, Tasman
£90-110k
€100-125k base salary for Netherlands. Plus equity
Senior and Expert level
Amsterdam
London
Remote from Netherlands, UK
Data analytics agency
Open for applications
Data analytics agency
21-100 employees
B2BData storageBig dataAnalyticsBusiness IntelligenceData IntegrationData AnalysisData Sharing
Open for applications
£90-110k
€100-125k base salary for Netherlands. Plus equity
Senior and Expert level
Amsterdam
London
Remote from Netherlands, UK
21-100 employees
B2BData storageBig dataAnalyticsBusiness IntelligenceData IntegrationData AnalysisData Sharing
Company mission
To build world-class data capabilities so that clients can focus on growing their business sustainably.
Role
Who you are
- Your credibility is established through a strong technical background and the ability to tackle engineering problems of varying complexities
What the job involves
- Transform how our client portfolio of high growth organisations use data to make better decisions
- Lead our multi-disciplinary Engineering team consisting of Data & Analytics Engineers
- Create and execute an engineering vision aligning with Tasman's objectives to lead the market in AI-native data delivery
- Recruit, develop and retain high-performing engineers who embody our builder-first culture
- Support business development with technical authority and commercial awareness of how efficiency translates to margin
- The Head of Engineering is responsible for all engineering work at Tasman, building a world-class function that delivers high-quality client work while driving significant efficiency gains through AI integration
- You'll lead our transformation from modern data consultancy to AI-native data agency, working with teams and clients to build modern, cost-efficient data platforms addressing complex business challenges
- You'll champion best practices and shape our delivery model from problem scoping through build and maintenance
- Critical to success is fostering a builder mindset
- We ship iterative, 80/20 solutions that we refine over time - not perfect solutions that don't deliver
- You will set the technical direction for Tasman's engineering practice, architecting AI-native data platforms while empowering senior engineers to lead their teams autonomously
- Your strategic vision will guide capability growth, keeping Tasman at the forefront through new technologies and methodologies, particularly LLM/GenAI integration across all delivery aspects
- You will be a part of the Tasman leadership team, directly influencing our strategy and execution
- The Head of Engineering role leads a combined Analytics and Data Engineering team. This role will set the vision for the team, break this vision down into a roadmap and execute on the roadmap
- Lead our combined Analytics and Data Engineering team with distinct but linked approaches
- Own and execute the engineering vision and roadmap, with AI integration as the primary transformation driver
- Integrate LLMs/GenAI across all engineering work (pipelines, dbt, documentation, QA) - making AI augmentation standard practice
- Define technical standards balancing AI automation with human expertise to achieve significant productivity gains
- Act as product owner for internal engineering initiatives while building a feedback-first culture
- Direct management of 2-3 staff engineers who will own day-to-day management and 1-1’s
- Influence hiring, recruitment, onboarding and retention strategies
- Maintain and build upon our "we solve business problems with data + AI - we don’t just write SQL" culture
- Collaborate on Career Management Framework with leadership team and Engineering Managers
- Enable staff engineers to deliver great technical standards and best practices across engineering
- Ensure daily AI tool usage across the team to ensure even distribution of new skills
- This role needs to maintain a level of technical proficiency and knowledge
- You will keep abreast of new technologies and innovation in the engineering and data landscape
- We want to be recognised as industry and thought leaders, and this should be driven by a continuous process of improvement where we stay ahead of industry trends and technologies
- Coordinating internal AI platform/tooling MVP as competitive advantage
- Run AI experiments per squad, converting wins into case studies and service offerings
- Identify nascent technologies, focusing on evolving AI/LLM landscape in data engineering & analytics
- Create knowledge-sharing forums (ceremonies, summits, hackathons)
- Run cross-functional technical sessions
- Representing the company at conferences and events - growing into a thought leadership role
- Develop reusable IP from client patterns or internal work
- Establish thought leadership through content and open source contributions
- Maintain overview across multiple squads without single-client focus. Understand technical decisions' commercial impact
- Ultimate accountability for engineering quality across all projects
- Translate AI efficiency gains to margin improvement through reusable patterns
- Support new delivery models (fixed-price, capability goals) while protecting margin
- Collaborate on complex technical work, maximising impact through engineers
- Engage early in new projects for contextual knowledge
- Create "spear fishing" processes - general awareness with targeted deep-dives
- Support sales with technical authority with pragmatism
- Core member of Senior Leadership Team (SLT), representing engineering voice
- Collaborate on key decisions and communicate to wider company
- Execute cohesive Engineering vision and roadmap
- Own "Engineering 2026" transformation plan for AI-native positioning
- Partner with Head of Data Analytics & Strategy to break down functional barriers
- Support pre-sales with awareness of evolving partner landscape
- Report AI adoption metrics, productivity gains, and margin improvements
Application process
- Application: Submit your resume and answer questions about your experience leading engineering teams through transformation, particularly in consultancy environments
- Chemistry call with CEO (45 minutes): Discuss your background, leadership philosophy, and vision for AI-native data engineering
- Prepared Technical Case and deep-dive with senior engineers (90 minutes): Explore your technical depth and ability to earn respect from a strong engineering team
- Case study presentation to wider leadership team (60 minutes): Present your approach to a challenge like "How would you transform our dbt development with AI?" to demonstrate technical prowess and strategic thinking. Ensure alignment with our anti-consultancy, builder-first culture
Our take
Tasman has helped fast growth startups and well known brands such as Asana Rebel, Canon, Ecosia, Kaia Health, OnDeck scale up their data infrastructure and analytics efforts. The company takes a boutique approach, essentially operating as an interim Head of Data Science.
One thing that stands out about Tasman’s approach is that its intention is always to completely hand over to its clients, rather than locking them into long term contracts. This pitch to quickly scale a company’s data operations in a sustainable, manageable way – and with no future obligations – should appeal to plenty of potential customers.
Having been founded in 2017, Tasman has grown its team in a responsible manner while making a profit. Indeed, the company has sought no VC backing in its time, yet still expects to double in size in the near future as it finds its services in greater demand.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Budget for home office equipment
- £400 / €500 annual well-being benefit
- £50 / €60 per month sport benefit
- £50 / €60 per month benefit for refreshments
- £1000 / €1200 annual budget for training and professional development
- 3 months of fully paid parental leave
- Pension contribution
- 25 days of holiday in addition to any public holidays
Company HQ
Finsbury Park, London, UK
Leadership
Thomas in't Veld
(Co-Founder & CEO)Former Genetics Research Associate at The University of Leuven. Previously served as Head of Data Science at Bright North and Peak Labs.
Rob Hick
(Co-Founder & Chief Data Officer)Was VP of Marketing Science & Data Strategy at Beamly after founding and spending six years at data science company Bright North.
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