Leave us your email address and we'll send you all the new jobs according to your preferences.
Senior Data Engineer refH225
Posted 7 days 19 hours ago by Tasman
Permanent
Not Specified
Other
London, United Kingdom
Job Description
Role Summary
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 a senior data engineer at Tasman to:
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:
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 YOU
You are someone who:
The Data Analytics teams at Tasman works closely with clients to translate business questions into tangible data insights. As a Data Engineer in one of our squads you will work with Analytics Engineers and Data Analysts to deliver data products such as customer acquisition models, customer retention models, user attribution models, and much more.
We are technology agnostic (but opinionated!) and work across all major cloud providers. Depending on client choice we may either leverage third party tools such as Fivetran, Airbyte, Stitch or build custom pipelines. We use the main data warehouses for dbt modelling and have extensive experience with Redshift, BigQuery and Snowflake. Recently we've been rolling out a serverless implementation of dbt and progressing work on internal product to build modular data platforms.
When initially working with clients, you will create a system diagram that maps out the existing tech and data stack. Using this as an opportunity to initiate discussions you will gather requirements from internal and external stakeholders. Technical Assessment tasks sets out system design for engineering solutions and will help de-risk engineering work. Part of this phase of work is to break work down into multiple stories and tasks. Once signed off, you will proactively work to implement the design on clients' cloud infrastructure. You will champion software engineering best practices across the team and help other team members and engineers deliver their work.
Requirements Gathering
We build data platforms and pipelines in response to both our internal requirements and clients' needs, resource capacity and technical maturity. The first step is to map out our clients' existing data stack. We understand what we have been engaged to deliver and the client's existing technology stack. To do this effectively we gather requirements and continuously refine these through the life of the project.
As a Senior Data Engineer, you will lead discovery sessions with client engineers to understand their technology stack and requirements for deployed data infrastructure.
In summary you will be expected to:
Requirements from stakeholders and cost considerations are used to inform our designs for data platforms. We translate these requirements into a coherent, cost efficient and modern data platform design with the expectation of eventually handing the platform back to clients.
As a Senior Data Engineer you would work independently to convert requirements into system designs. You are further able to break down implementation work into stories and tasks that will likely require work over multiple sprints to deliver. Key to gaining sign-off on engineering designs is confident presentation of your work to peers and client engineers, responding openly to challenges and questions.
In summary you will be expected to:
Clients engage our services because of our recognised thought leadership and technical excellence. We build modern, robust, maintainable, production-ready data products and platforms. We also look to the future for the next big data technologies and continuously reflect on what and how we are delivering to
As a Senior Data Engineer, you represent Tasman's technical capabilities to clients. You should have a solid knowledge of modern data and software engineering practices. As we need to get up to speed quickly on varied client data stacks, a love of learning new technologies and tooling is vital. You should have experience with building pipelines and data infrastructure in a cloud environment and understand the trade-offs of managed versus bespoke solutions. You are a proficient user of Python and SQL.
In summary you will be expected to:
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 a senior data engineer at Tasman to:
- Take ownership of the design and implementation of data pipelines and platforms for our clients
- Mentor and develop other Engineers to achieve their full potential
- Work with Data Product Manager to develop plans and roadmaps that deliver on client objectives each sprint and throughout the engagement
- Support and enable other functions within your team to deliver data products.
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.
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 YOU
You are someone who:
- Has solid technical foundations and is comfortable working in different cloud environments.
- Enjoys learning new technologies, tooling and ways of working (in line with clients practices and technology preferences).
- Is passionate about bringing software engineering best practices into the data space.
- Thrives working in a fast paced environment where you will be on multiple client projects concurrently.
- Can plan out your workload and identify the compromises required to deliver early value to clients.
- Is continuously looking for ways to improve what and how we deliver modern data products.
- Is an excellent communicator and able to work closely with all functions in a business.
- Is comfortable explaining their thinking and discussing different approaches to a problem to people with different technical backgrounds and knowledge.
The Data Analytics teams at Tasman works closely with clients to translate business questions into tangible data insights. As a Data Engineer in one of our squads you will work with Analytics Engineers and Data Analysts to deliver data products such as customer acquisition models, customer retention models, user attribution models, and much more.
We are technology agnostic (but opinionated!) and work across all major cloud providers. Depending on client choice we may either leverage third party tools such as Fivetran, Airbyte, Stitch or build custom pipelines. We use the main data warehouses for dbt modelling and have extensive experience with Redshift, BigQuery and Snowflake. Recently we've been rolling out a serverless implementation of dbt and progressing work on internal product to build modular data platforms.
When initially working with clients, you will create a system diagram that maps out the existing tech and data stack. Using this as an opportunity to initiate discussions you will gather requirements from internal and external stakeholders. Technical Assessment tasks sets out system design for engineering solutions and will help de-risk engineering work. Part of this phase of work is to break work down into multiple stories and tasks. Once signed off, you will proactively work to implement the design on clients' cloud infrastructure. You will champion software engineering best practices across the team and help other team members and engineers deliver their work.
Requirements Gathering
We build data platforms and pipelines in response to both our internal requirements and clients' needs, resource capacity and technical maturity. The first step is to map out our clients' existing data stack. We understand what we have been engaged to deliver and the client's existing technology stack. To do this effectively we gather requirements and continuously refine these through the life of the project.
As a Senior Data Engineer, you will lead discovery sessions with client engineers to understand their technology stack and requirements for deployed data infrastructure.
In summary you will be expected to:
- Translate both client and internal stakeholder requirements into a clear plan/approach for delivery
- Understand the broader goal of our work and where the data engineering work fits in and brings value
- Work with Analytics Engineers and Data Analysts to align on the delivery plan
- Document and communicate requirements to stakeholders.
Requirements from stakeholders and cost considerations are used to inform our designs for data platforms. We translate these requirements into a coherent, cost efficient and modern data platform design with the expectation of eventually handing the platform back to clients.
As a Senior Data Engineer you would work independently to convert requirements into system designs. You are further able to break down implementation work into stories and tasks that will likely require work over multiple sprints to deliver. Key to gaining sign-off on engineering designs is confident presentation of your work to peers and client engineers, responding openly to challenges and questions.
In summary you will be expected to:
- Balance various aspects of architecting a technical solution, including cost (both financial and human resources), robustness, maintainability, complexity, performance as well as suitability for the specific client requirements, technical maturity and capability
- Liaise with clients to understand their existing systems and services, and communicate how the proposed solution fits in
- Define the next steps for delivery, with clear descriptions, dependencies and acceptance criteria, keeping the story objectives top of mind.
- Good understanding of modern software engineering principles
Clients engage our services because of our recognised thought leadership and technical excellence. We build modern, robust, maintainable, production-ready data products and platforms. We also look to the future for the next big data technologies and continuously reflect on what and how we are delivering to
As a Senior Data Engineer, you represent Tasman's technical capabilities to clients. You should have a solid knowledge of modern data and software engineering practices. As we need to get up to speed quickly on varied client data stacks, a love of learning new technologies and tooling is vital. You should have experience with building pipelines and data infrastructure in a cloud environment and understand the trade-offs of managed versus bespoke solutions. You are a proficient user of Python and SQL.
In summary you will be expected to:
- Independently implement the following in a data platform:
- Cloud infrastructure and services
- Infrastructure as Code
- CI/CD Pipelines
- Containerisation
- Orchestration
- Version Control Systems
- Data Warehousing
- ETL/ELT pipelines . click apply for full job details
Tasman
Related Jobs
Leerling bedrijfswagen monteur
- Gelderland, Barneveld, Netherlands, 3771 AA
Truckmonteur
- Gelderland, Nijkerk, Netherlands, 3861 AA
Monteur bedrijfswagens
- Gelderland, Barneveld, Netherlands, 3771 AA
Truckmonteur
- Gelderland, Harderwijk, Netherlands, 3841 AA
Servicemonteur elektro
- Overijssel, Raalte, Netherlands, 8101 AA