Tasman

Tasman is defining the future of Data Analytics-as-a-Service. We are a young and growing company funded fully by analytics & data science work for our ambitious clients. We are hiring an Analytics Engineer to join our team to: Partner with our clients to design and develop scalable domain-driven data models. Complete technical analyses of business requirements, accurately estimating complexity. Build, maintain and troubleshoot complex SQL data models. Design and implement testing frameworks to assure the quality of the data being presented. Mentor and develop other Analytics Engineers in Tasman to achieve their full potential. ABOUT TASMAN At Tasman, we transform disorganised data into meaningful business value, empowering teams to master your own analytics. As a boutique consultancy with offices in the UK and the Netherlands, we have been serving clients across Europe since 2017. Our expertise spans analytics, business intelligence, and data science, allowing us to deliver rapid, impactful results through tailored, scalable solutions. Our past and current clients include well known brands like The Earthshot Prize, Verisure, Paired, Ecosia, Gousto, Kaia Health, and Pensionbee. What they all have in common is a desire to use data to drive their decision making, and improve their business outcomes. We understand the data challenges faced by companies, including data disorganisation, high costs, and talent gaps. That's why we focus on three essential pillars: Tech: We build a modern data stacks tailored to our client's needs, providing a single source of truth and leveraging industry best practices. Insights: We define and interpret the metrics that matter to client's unique businesses, creating reliable reporting dashboards and self-service tools to enable faster, more confident decision-making. People: We train in-house teams, setting robust foundations for processes, culture, and ways of working to ensure long-term success. Our approach delivers rapid value in condensed sprints, ensuring efficient use of resources and maximised impact. With our extensive experience working with high-growth clients, we know how to avoid expensive pitfalls and deliver consistent yet customised solutions. Tasman was founded in 2017 and has since grown to a team of 20 with London and Amsterdam as our main hubs. We are a profitable business and have not taken outside investment-our growth is organic and fully funded by the revenue from client work. WORKING AT TASMAN We are a remote-first company with a distributed team: we give everyone the flexibility to work from home, a co-working space of their choice, or one of our offices. We trust our team and understand that life sometimes happens in between work. Moreover, we want to create an environment where people of all ages, identities, and backgrounds can thrive and achieve meaningful, sustainable growth. We take a people-first approach that promotes work-life balance and supports physical and mental well-being because we understand that investing in the long-term health and success of our team leads to the best outcomes for everyone. We have spent a lot of time in the last few years developing career ladders to help you succeed in your personal growth. As a small but growing company, we are constantly evolving. We are working to craft a culture and workplace where data experts are able to do their best work. We therefore welcome feedback on everything we do: from hiring and onboarding, to how we work and communicate, and how we most effectively deliver value to our clients. ABOUT THE ROLE The Analytics Engineering team at Tasman provide the critical link between the data that is extracted & ingested by the Data Engineering team, and the business-facing data assets that the Data Analysts leverage to deliver tangible value to our clients. As Analytics Engineers at Tasman we work across numerous business domains including marketing and growth, retail sales, app subscriptions, product development, and we are responsible for turning business requirements into technical solutions. Analytics Engineers are our SQL experts and no data wrangling challenge is too large for us. When we're not getting data into shape, we are advising our clients on data architecture best practices, writing tracking plans, implementing data test frameworks, collaborating with Data Engineers and Data Analysts on complex problems, or learning and developing our expertise. Data Modelling & SQL Turning raw data into friendly, business-facing data models is at the core of the role of an Analytics Engineer, and like most data teams, we use a combination of SQL and dbt to get this done. As an open-source tool that now dominates the industry, we expect our Analytics Engineers to be comfortable with dbt and native SQL speakers (at least 1 dialect). Wrangling data into shape should be second nature. It is also vital that our data models can be trusted - so testing and QA is extremely important to us. We're on a test-driven development journey, and our Analytics Engineers are constantly pushing the boundaries of what is possible when it comes to making sure our data is high quality. In summary, you will: Build data models using SQL and dbt. Optimise for performance and cost across different data warehouses. Demonstrate git best practices for effective version control. Be pragmatic about documentation. Conform and contribute to Tasman's SQL style guidelines. Design and implement data testing frameworks that ensure our data models can be trusted. As a Senior Engineer, we also expect you to: Conduct thorough code reviews with colleagues to ensure we are identifying issues before they make it into production. Have experience across multiple data warehouses and be able to articulate what the strengths and weaknesses of each are. Be an expert in at least one data warehouse, going beyond just the query capabilities. Be an advocate for best practice across all aspects of our development activities. Contribute to the Tasman standard data model designs and processes. Have a deep understanding of data warehouse optimisation techniques. Domain Modelling One of the key reasons that our clients choose to partner with Tasman is because of our unique approach to conceptual data modelling - we call this Domain Modelling. It is something we do with every client at the very start of the engagement, and it is the process of abstracting a business into its key components (entities) and the relationships between them. It is the responsibility of our Analytics Engineers to lead our clients through this process. Read more on our blog here . In addition to Domain Modelling, our Analytics Engineers are also responsible for reviewing any existing data models the client is currently using, informing any technology or tooling decisions based on client need and budget In summary, you will: Review clients existing data infrastructure and processes to inform priorities and roadmap. Design domain data models in collaboration with the client to create a high-level blueprint that deeply informs data modelling. Conduct client interviews and distill the key entities and relationships that make up their business. As a Senior Engineer, we also expect you to: Be an ambassador of the domain modelling process, able to explain the benefits to stakeholders of all levels. Use your experience of domain models to inform new domain model design and resolve complex entity-relationship patterns. Have a good understanding of different data modelling architectures (e.g. Kimball) and be able to leverage this knowledge to inform designs. Technical Analysis All deliverables at Tasman start with a discovery process. At the core of the Tasman approach to delivery is a focus on business value and the description of a solution that targets the specifics of the business - we call this business analysis. Our Engineers are responsible for evaluating the requirements set out in the business analysis and developing a technical solution design - we call this technical analysis. There are two main objectives of technical analysis: to reduce the risk for both Tasman and our clients, and to break down a deliverable into a set of tasks with accurate estimations of complexity. We rely on our Engineers for effective estimation of deliverables as it ensures that we are able to meet the goals we set with our clients on time and on budget. In summary, you will: Design and document solutions that meet the requirements set out in business analyses. Proactively identify technical debt and effectively evaluate and communicate any delivery risks or unknowns. Break down deliverables into tasks, and accurately estimate their complexity. Collaborate effectively with other team members to ensure delivery is well planned. As a Senior Engineer, we also expect you to: Have a strong catalogue of experience you can call on to inform your planning and design. Contribute to the continuous improvement of the technical analysis process. Review the technical analyses of other team members to offer suggestions and improvements. Tracking & Data Collection Tracking and event data collection has become an increasingly important part of the work we do at Tasman . click apply for full job details