Analytics Engineer - Remote (UK or Spain-based)

Remote

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Ebury

Posted 1 month ago

Ebury is a Global FinTech: we apply new technologies to enhance and automate financial services and processes. This allows small and medium-sized businesses to trade and transact internationally by eliminating boundaries related to more traditional procedures. 
Founded in 2009, we are now positioned among the fastest-growing companies in the sector! Headquartered in London, we have more than 1000 staff covering over 50 nationalities (and counting!) working across more than 27 offices worldwide and serving more than 45,000 clients every day. 
Hard work pays off: Ebury has just received a £350 million investment from Banco Santander and has won over 20 internationally recognised awards such as the Growing Business of the Year 2019: Larger Company (Turnover £50m+) and Financial Times: 1000 Europe's Fastest-Growing Companies (which we have been awarded twice: 2017 and 2019!).
None of this would have been possible without what we’re most proud of: our great community. Enthusiastic, disruptive and collaborative teams, always ready to innovate and revolutionize the fast-paced Fintech dimension. 
If you want to develop your professional career in Finance and join an international environment, this is your place. Ready to join the revolution?

The Role
We use an extremely data-driven approach to effectively deliver our products and services. As an Analytics Engineer within the Data Team, you will own the data platform that bridges the gap between our transactional systems and the business.

Responsibilities:

  • Work with data engineers in building the ELT layer (Fivetran, Airflow, Kafka) from a variety of internal and external systems into the data warehouse
  • Work with data analysts and business stakeholders to determine requirements, design and implement reliable data models (dbt)
  • Build the semantic layer to offer a consolidated view of data through a self-service analytics platform (Looker) and a range of business dashboards (Data Studio)
  • Collaborating with colleagues to ensure that the structure of our analytics projects is scalable, documented and maintainable

Requirements:

  • 2+ years experience as an Analytics Engineer/Database/ETL/BI developer
  • Technically proficient in SQL
  • Experience in data warehouse design (e.g. dimensional modeling)
  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
  • Must have aptitude and willingness to learn new software and technologies
  • Analytical mind with a problem-solving aptitude
  • Experience with QA testing and coding best practices.
  • Financial Services industry experience preferred but not necessary
  • Experience with Google Cloud Platform (specially BigQuery), AirFlow, dbt and Looker are all desirable
  • Experience working in an agile environment is desirable
The list of duties and responsibilities may include others, as required by the company from time to time in the performance of your role.Due to the high number of applications received, only successful candidates will be contacted.Any offer of employment is subject to the receipt of satisfactory references.
Job tags: Airflow BigQuery Data-driven ETL Financial services Fintech Kafka Looker SQL
Job region(s): Worldwide/Anywhere