Senior Data Engineer, Tasman
£65-75k
Netherlands annual salary: €65,000 - €80,000 per year
SQL
Python
Redshift
Snowflake
BigQuery
Stitch
dbt
Senior and Expert level
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
£65-75k
Netherlands annual salary: €65,000 - €80,000 per year
SQL
Python
Redshift
Snowflake
BigQuery
Stitch
dbt
Senior and Expert level
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
- 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
- You should have a solid knowledge of modern data and software engineering practices
- 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
- 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
- As a Senior Data Engineer, you’ll feel comfortable communicating with a wide variety of stakeholders to deliver your work
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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
- As we need to get up to speed quickly on varied client data stacks, a love of learning new technologies and tooling is vital
- 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 consultant you must feel comfortable liaising with a wide range of stakeholders: internal and external, technical and non-technical and at varying seniorities
- 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
- 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
- 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
Application process
- 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
- 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
- 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
- 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
- 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
- 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
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
(CEO & Co-Founder)Former Genetics Research Associate at The University of Leuven. Previously served as Head of Data Science at Bright North and Peak Labs.
Rob Hick
(Chief Data Officer & Co-Founder)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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