[Vm-606] - Analytics Engineer

Ebury is a hyper-growth FinTech firm, named in 2021 as one of the top FinTechs to work for by Glassdoor and AltFi.
We offer a range of products including FX risk management, trade finance, currency accounts, international payments, and API integration.
Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector.
Headquartered in London, we have more than 1,000 staff covering over 50 nationalities (and counting!)
working across more than 27 offices worldwide and serving more than 45,000 clients every day.
Ebury's strategic growth plan would not be possible without our Data Analytics team and we are seeking an Analytics Engineer to join us!
Our data mission is to develop and maintain Ebury's Data Warehouse and serve it to the whole company, where Data Engineers, Analytics Engineers, and Data Analysts work collaboratively to: Build ETLs and data pipelines to serve data in our platform.
Provide clean, transformed data ready for analysis and used by our BI tool.
Develop department and project specific data models and serve these to teams across the company to drive decision making.
Automate end solutions so we can all spend time on high-value analysis rather than running data extracts.
Some of the projects we are currently working on include: building data pipelines to connect to our Treasury Management System and modelling our cash flows and balances in the data warehouse to serve a reconciliation solution against our Transactional platform, building an analytics layer in our central warehouse to track customer usage of our new mobile app, redesigning our entire core warehouse to ensure it represents the Ebury business of today so we can continue to model new data products efficiently, and many more!
Our Data Analytics stack: Google Cloud Platform for all of our analytics infrastructure.
dbt and BigQuery for our data modelling and warehousing.
Looker and Data Studio for Business Intelligence.
As part of the team you will: Be responsible for the design, build and continuous improvement of our data warehouse that supports the business' internal and external reporting requirements.
Serve hands-on delivery of data models using solid software engineering practices.
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