Senior Data Engineer refH225

Tasman; London; On-site; GBP 65,000 - 75,000; Full time

Job summary

Tasman is seeking a Senior Data Engineer to take charge of designing and implementing data pipelines for diverse clients. The ideal candidate will mentor fellow engineers while ensuring the alignment of project goals with client objectives. This remote-first role offers competitive compensation and emphasizes a people-first approach, suited for someone with a passion for data-driven solutions.

Benefits

£1000 budget for home office equipment

£80 per month allowance for health, fitness & wellbeing

£1000 annual budget for training and development

3 months of fully paid parental leave

5% pension contribution

Qualifications

• Has solid technical foundations and is comfortable working in different cloud environments.
• Enjoys learning new technologies and tooling.
• Is passionate about bringing software engineering best practices into the data space.
• Thrives working in a fast-paced environment on multiple client projects.

Responsibilities

• Take ownership of the design and implementation of data pipelines and platforms for 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.
• Support and enable other functions within your team to deliver data products.

Skills

Python

SQL

Cloud environments

Data engineering best practices

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:

• 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.

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 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.

ABOUT THE ROLE

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.
  
  

Design

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

Technical Knowledge

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
• Have working knowledge of Python and SQL
• Promote best data security practices including:
  • Identification and treatment of PII data
  • Client secrets management
  • Building secure data products and pipelines

Stakeholder Management

Working with both internal and external stakeholders good communication skills are key to succeeding in this role. We self-organise to continuously deliver high-impact data products to our clients and to ensure data engineers are enabling this we proactively communicate with stakeholders. Good communication skills are essential as we are a remote-first company, working closely in multi-functional teams. At every stage of the process we ensure stakeholders know what we are delivering, and when we have delivered our work, ensure we transfer knowledge back to clients in handover sessions.

As a Senior Data Engineer, you’ll feel comfortable communicating with a wide variety of stakeholders to deliver your work. As a senior data consultant you must feel comfortable liaising with a wide range of stakeholders: internal and external, technical and non-technical and at varying seniorities.

In summary you will be expected to:

• Be confident in leading the client through engineering solutions that have their best interests in mind.
• Be able to run multiple client projects concurrently and balance out competing requirements for your time.
• Effectively and lean towards over-communicating with clients and team members; providing updates on progress and blockers.
• Be able to communicate technical information to a range of stakeholders, from non-technical stakeholders to client engineers and leadership.

Leadership

As the Senior Data Engineer within your squad you will work with other function seniors in steering the engineering output of the squad. You will also freely share your knowledge and experience with other team members. Coaching and mentoring more junior members of the team is crucial to help other team members progress through their careers.

In summary you will be expected to:

• Effectively work across functions to deliver client work, identifying blockers and helping other team members access the data assets required to do their work
• Further add to the data engineering capabilities of Tasman by sharing your knowledge, taking on new types of engineering work and setting the example for technical excellence.
• Mentor other Data Engineers to achieve their career goals.
• Work with the wider company to develop new ways of working that improve the efficiency, quality, and consistency of Tasman work.
• Develop deep domain expertise that improves our ability to deliver industry-leading solutions to data problems.

Compensation & Benefits

At Tasman we are committed to creating an environment where our team members can thrive both personally and professionally. As a remote-first organisation, we understand the importance of supporting our employees in ways that go beyond traditional office perks. In addition to competitive salary compensation, below are some of the benefits you'll enjoy as part of our team, designed to enhance your well-being, and foster your growth.

The compensation and benefits for someone based in the UK are:

• Salary depending on experience:
  • £55,000 - £65,000 for a Data Engineer
  • £65,000 - £75,000 for a Senior Data Engineer
• £1000 budget for home office equipment (e.g. a desk or chair)
• £80 per month allowance for health, fitness & wellbeing via the Heka platform
• £50 per month benefit for refreshments
• £1000 annual budget for training and professional development
• 3 months of fully paid parental leave (conditions apply)
• Pension contribution of 5%

The compensation and benefits for someone based in the Netherlands are:

• Salary depending on experience:
  • €60,000 - €72,000 per year for a Data Engineer
  • €65,000 - €80,000 per year for a Senior Data Engineer
• €1200 budget for home office equipment (e.g. a desk or chair)
• €500 annual well-being benefit
• €60 per month sport benefit
• €60 per month benefit for refreshments
• €1200 annual budget for training and professional development

We also offer 25 days of holiday in addition to any public holidays.

APPLICATION PROCESS

We understand that interviewing for a new role can be time consuming and, occasionally, frustrating. We will be respectful of your time and inform you of our decision as soon as we have made it. We aim to run an inclusive process so if reasonable accommodations are needed to participate in our job application process, please let us know.This is what you can expect from the application process:

1. Application. You will be asked to submit a resume and answer a few questions, which help us understand how your background and interests fit with what we are looking for at Tasman. Make sure to answer these questions carefully as they can make the difference between a successful application and not.
2. Short introductory call. We will schedule a brief call with the hiring manager for this role to discuss your background and interests and to give you the opportunity to learn more about Tasman.
3. Technical task. You will be asked to work on a set of problems that reflect the technical and communication skills needed for this role. It gives us a sense of your skills and it hopefully also gives you a taste of what it’s like working for Tasman. We will give you personal feedback on the task, regardless of the outcome.
4. Technical interview. If the task is successful, we will schedule a 1-hour interview with 2 senior engineers to discuss the technical task. They will also ask more detailed, technical questions about prior work (or other) experience.
5. Team interview. The final step in the application process is a 1-hour interview with the hiring manager for this role and a senior non-engineering team member. Their questions will focus on culture fit and broader business understanding. You will, of course, get to ask them plenty of questions too to learn more about what it’s like to work for Tasman.
6. Decision. We will let you know our decision and, if we make you an offer, we will give you the opportunity to talk to others on our team to support you in making your decision.

The hiring manager for this role is Eric Thanenthiran. We process and interview candidates on an ongoing basis. If you have any questions about the role or the process, feel free to contact us at [e-mail]. Note that we are an English-speaking company so we look for the ability to communicate with clarity and precision in English—both verbally and in writing.