• Join the founding product/engineering team of an exciting new data/no-code startup, with funding in place, and validated customer demand.
• Collaborate on the design and implementation of data warehouses, designing data pipelines and setting up our BI, starting from a variety of financial and accounting sources, culminating in an ensemble of data products.
• Contribute and directly impact on both internal and customer-facing data.
• Team up with a high-performing, experienced team who've founded, built and exited startups. You'd be a valued peer alongside data engineering, data science, design, product and software engineering team members.

TLDR requirements

• 3+ years of experience building and maintaining early stage data warehouses, setting up pipelines and modelling analytical data.
• Based on a location that is +/- 2 hours from UK's time zone.
• Knowledge of modern data warehousing and data pipeline stack (e.g. Fivetran, dbt, Snowflake, HighTouch and Census).
• Experience with reverse ETL.
• Proficient in data analytics (BI reports, data insights).
• Experience in designing and building solutions using Python & SQL.
• Experience being part of a high-growth startup or tech company.

• 3+ years of experience building and maintaining early stage data warehouses, setting up pipelines and modelling analytical data, in order to make operational data securely available to clients (e.g. using modern data warehousing and database architecture principles).
• Understanding of the ETL cycle.
• Knowledge of the modern data warehousing and data pipeline stack, namely Fivetran, dbt, Snowflake, HighTouch and Census.
• Experience with reverse ETL - syncing data from a data warehouse to a system of action (e.g. CRM).
• Experience with Monte Carlo for data quality monitoring.
• Proficient in data analytics (BI reports, data insights).
• Experience in data modelling and an appreciation of the importance of metadata.
• Proficient in scripting languages (Python) and data statements (SQL).
• Experience collaborating with Dev and Data Science teams to design and implement scalable infrastructures for different types of structured and unstructured data.
• Experience being part of a high-growth startup or tech company.
• Clear communication (in English) and ability to work well with others in a distributed team.

Strong plus:

• Your stack extends to React.JS.
• A desire to work in an agile data engineering methodology.
• Confident processing large workloads of data using distributed data systems.
• Experience being part of a high-growth startup or tech company.
• Curious and passionate about your work.

• Salary: Up to £80k p.a. + option package.
• Holidays: 23 days p.a. + the days between Christmas & New Year + Public Holidays.
• Location: Remote, but UK/European time zone.
• Pension Contributions (UK).
• Healthcare.