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
Requirements
To succeed in this role, you will need a combination of technical skills with the ability to develop a deep understanding of Workable’s (and each department’s) business and data.
You must have:
- 1-3 years of work experience in a similar role
- excellent knowledge of SQL,experience with relational and data warehousing models
- programming experience in a modern programming language (ideally Python)
- strong analytical thinking and experience with managing and analysing data
- familiarity with data analysis, reporting, ETL/ELT, data modeling, data mart, data architecture
- a strong Computer Science background and knowledge of software development methodologies
You must be:
- willing to understand the business of Workable and individual departments
- diligent and rigorous, able to appreciate quality and deliver it on a timely basis
- an exceptional collaborator who thrives in a team and cross-department environment
Bonus points for:
- Familiarity with any of the following technologies: Redshift, AWS, Airflow, DBT, Docker, Kafka, Kinesis, Glue, Spectrum, , NoSQL
- Hands-on experience in any of the following: metadata management, database design/optimization, CI/CD
Benefits
Our employees enjoy benefits that make them more productive and contribute directly to the development of their professional skills. We want to be able to attract the best of the best and make sure they keep getting better. On top of an exciting, vibrant and intellectually challenging environment, we are offering:
- An attractive salary and a bonus plan
- Health insurance plan including dependents
- Mobile data plan
- Apple gear and access to the best productivity tools
- Annual retreats in awesome locations
Workable is most decidedly an equal opportunity employer. We want applicants of diverse background and hire without regard to colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.