Tasman is pioneering Data Analytics-as-a-Service, transforming disorganised data into business value since 2017. As a bootstrapped agency with 20 people across London and Amsterdam offices, we serve ambitious European clients including The Earthshot Prize, Verisure, Paired, Ecosia, Asana Rebel, Kaia Health, and Pensionbee—all seeking data-driven decision making and improved business outcomes.We deliver through three pillars:Tech

(modern data stacks providing single sources of truth),Insights

(metrics that matter with reliable reporting and self-service tools), andPeople

(training teams and building foundations for long-term success).We are hiring a Head of Engineering to:Transform how our client portfolio of high growth organisations use data to make better decisions.Lead our multi-disciplinary Engineering team consisting of Data and Analytics EngineersCreate and execute an engineering vision aligning with Tasman''s objectives to lead the market in AI-native data deliveryRecruit, develop and retain high-performing engineers who embody our builder-first cultureSupport business development with technical authority and commercial awareness of how efficiency translates to marginThe 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.About the Role

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.This is a remote role but you will be expected to spend time in our Hubs of Amsterdam and London. You will be a part of the Tasman leadership team, directly influencing our strategy and execution.Leading the function

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. Your credibility is established through a strong technical background and the ability to tackle engineering problems of varying complexities.As the Head of Engineering, you will:Lead our combined Analytics and Data Engineering team with distinct but linked approachesOwn and execute the engineering vision and roadmap, with AI integration as the primary transformation driverIntegrate LLMs/GenAI across all engineering work (pipelines, dbt, documentation, QA) - making AI augmentation standard practiceDefine technical standards balancing AI automation with human expertise to achieve significant productivity gainsAct as product owner for internal engineering initiatives while building a feedback-first cultureTeam Management

Your main role is bringing technical leadership but as we are a small company you will also coach and mentor Staff Engineers.Key responsibilities:Direct management of 2-3 staff engineers who will own day-to-day management and 1-1’s.Influence hiring, recruitment, onboarding and retention strategiesMaintain and build upon our "we solve business problems with data + AI - we don’t just write SQL" cultureCollaborate on Career Management Framework with leadership team and Engineering ManagersEnable staff engineers to deliver great technical standards and best practices across engineeringEnsure daily AI tool usage across the team to ensure even distribution of new skills.Technical Innovation

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.Drive innovation through:Coordinating internal AI platform/tooling MVP as competitive advantageRun AI experiments per squad, converting wins into case studies and service offeringsIdentify nascent technologies, focusing on evolving AI/LLM landscape in data engineering and analyticsCreate knowledge-sharing forums (ceremonies, summits, hackathons)Run cross-functional technical sessionsRepresenting the company at conferences and events - growing into a thought leadership roleDevelop reusable IP from client patterns or internal workEstablish thought leadership through content and open source contributions.Client Oversight and Commercial Impact

Maintain overview across multiple squads without single-client focus. Understand technical decisions'' commercial impact.Responsibilities include:Ultimate accountability for engineering quality across all projectsTranslate AI efficiency gains to margin improvement through reusable patternsSupport new delivery models (fixed-price, capability goals) while protecting marginCollaborate on complex technical work, maximising impact through engineersEngage early in new projects for contextual knowledgeCreate "spear fishing" processes - general awareness with targeted deep-divesSupport sales with technical authority with pragmatism.Collaboration with Leadership

Core member of Senior Leadership Team (SLT), representing engineering voice.SLT responsibilities:Collaborate on key decisions and communicate to wider companyExecute cohesive Engineering vision and roadmapOwn "Engineering 2026" transformation plan for AI-native positioningPartner with Head of Data Analytics and Strategy to break down functional barriersSupport pre-sales with awareness of evolving partner landscapeReport AI adoption metrics, productivity gains, and margin improvements.Process

This strategic role offers competitive compensation reflecting its importance to Tasman''s future: £90-110k (UK) or €100-125k (Netherlands) base salary, significant equity upside, plus comprehensive benefits including learning budgets, wellness allowances, pension/retirement contributions, and 25 days holiday.This is what you can expect from the hiring process:Application:

Submit your resume and answer questions about your experience leading engineering teams through transformation, particularly in consultancy environmentsChemistry call with CEO (45 minutes):

Discuss your background, leadership philosophy, and vision for AI-native data engineeringPrepared Technical Case and deep-dive with senior engineers (90 minutes):

Explore your technical depth and ability to earn respect from a strong engineering teamCase 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.The hiring process is led by Thomas in’t Veld (CEO). We process candidates on an ongoing basis and aim to fill this critical role by the end of Q3 2025.For questions, contact recruiting@tasman.ai. Join us to build the first AI-native modern data consultancy where your code impacts 60+ high-growth companies, your team sets industry standards, and your leadership determines whether we become a £10M or £100M business – if you\''re ready to make traditional consultancies obsolete, let\''s talk.

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