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Lead Data Engineer


Vous pouvez nous contactez à nos seuls numeros: +226 76319851 / 79258085 / 73616878 ( Whatsapp: +22673616878 )


Lead Data Engineer



Entreprise: Workable
Niveau d'etude: Non precise
Localité: Greece / Athens
Date limite: 2020-01-05

Description
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.

And while we take recruiting seriously, we don’t take ourselves too seriously. 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’re growing fast, in both headcount and revenue, and we’re looking for a Lead 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.

As the senior member of the team, you will:

Implement software processes to move data to and from the Data Warehouse and all the internal production systems
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
Design and implement ETL processes that prepare the data to be used by internal stakeholders
Make the data available through various reporting platforms (Tableau, Google spreadsheets); consult internal customers on using the data
Analyse data and derive business-relevant conclusions; communicate analysis to internal stakeholders
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.

You must have:

at least 8 years of work experience, 2 of which in a similar role
experience with managing data (any combination of data architecture, data quality, metadata management, ETL, analytics, reporting, Database administration)
a strong Computer Science background and knowledge of software development methodologies
excellent knowledge of SQL
programming experience in a modern programming language (ideally Python)
You must be:

a good communicator with the ability to express yourself clearly and effectively
diligent and rigorous, able to appreciate quality and deliver it on a timely basis
an exceptional collaborator who thrives in a team environment
Bonus points for applied experience in any of the following: Project Management, Business Analysis, Consulting, Operations, Statistical analysis, Quality Assurance or other technical and customer-facing roles.

Familiarity with any of the following technologies will be a plus: Redshift, APIs, Git, Linux, AWS, Google cloud.

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 workplace, we are offering:

An attractive salary and a bonus plan
Health insurance plan including dependents
Mobile telephony and data plan
Personal budget for cutting edge trainings and conferences of your choice
Apple gear, and access to the best productivity tools
Flexible working hours and remote work
Extensive paternity leave
Fully catered office, including free breakfast, lunch, snacks and beverages all day
Workable is most decidedly an equal opportunity employer. We want applicants of diverse background and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.







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