Workable makes software to help companies find and hire great people. We get recruiting and its role in building healthy workplaces — which is why we’re proud more than 20,000 teams around the world use Workable to do exactly that.

At Workable, you’ll find smart people who have fun, learn and innovate, and help others do the same. We brainstorm, we laugh, and, occasionally, we party (there’s a lot to celebrate), but we also appreciate people’s need for quiet time and focused work. We respect everyone, we hire the best, and make sure every experience is special.

We are looking for a Data Engineer to join our Data Engineering Team. This is a small but indispensable team within Workable, which is responsible for managing the company's Enterprise Data Warehouse (based on Amazon Redshift) and all related data flows and transformations including the implementation of internal reporting.

In this role, you will:

• implement software processes to move data to and from the Data Warehouse and all the internal production systems
• design and implement ETL processes that prepare the data to be used by internal stakeholders (currently based on Airflow and DBT)
• manage and (where necessary) update our Data Engineering architecture, ensuring the reliability and performance of all data flows
• implement processes and automations that will ensure that the data is correct, reconciling data sources and identifying inconsistencies and data quality issues
• make the data available or produce reports through various reporting platforms (Tableau, Redash, Google spreadsheets); consult internal customers on using the data
• analyse data in order to support business decision making