Tech Lead Data Engineering

Company Description

Greppy Systems is a Software Engineering company ‘born’ in 2011. Our company’s organizational culture revolves around the idea of ‘partner sourcing’, which means helping high potential start-up projects grow, become self-sustainable companies and conquer the market with their innovative ideas. This means we get to work on complex projects with the latest stable technologies, while building lasting relationships between our team and our partners around the world. We have a great team that we want to extend. If you are or know someone fun and open to new who wants to be involved in the overview of the project, this is the place.

Job Description

We are seeking for a passionate and experienced Data Engineer who is interested in working
within a product company environment. As a Data Engineer, you will be collaborating to
build a robust and highly performant data platform, as well as optimizing data flow and
collection for cross functional teams focusing on scalability, data quality, and business
requirements.

Main responsibilities:  

 Provide technical leadership, line management and mentoring to the team 
 Work with other leads, architects, and tech leadership to define the best
approach to technical problems 
 Identify, design, and implement improvements to our data ecosystem, as well
as to our internal process: improving data pipeline architecture, optimizing data
delivery, re-designing infrastructure for greater scalability, automating manual
processes, etc. 
 Manage data warehouse, data cleansing (curated data), data modelling (table
schemas design) 
 Build, refactor and maintain data pipelines that consume data from various
sources: databases, REST API, FTP, SharePoint. Combine raw information from
various sources. 
 Interact with data via APIs and create API endpoints for requesting/sending
data  
 Analyse and organize raw data. Develop reports that present data in an easy-
to-understand format for nontechnical users and optimize data for the analysis
tools 
 Analyse and question business requirements. Translate business requirements
into technical specifications  
 Work with stakeholders to assist with data-related technical issues and support
their data infrastructure needs

Qualifications

 5+ years as Data Engineer or relevant experience 
 Understanding of RDBMS’s (MariaDB, MSSQL) and proficiency with SQL 
 At least 3 years; experience in working with Azure Synapse Analytics (or
Azure Data 
 Warehouse, Azure SQL, Azure Data Factory, Azure Storage, Azure Function) 
 Experience with data modelling approaches and best practices  
 At least 3 years; experience with Python  
 Experience with source control systems (GitHub)  
 Comprehensive knowledge about APIs – ability to design RESTful services
and integrate with other data providers.  
 Understanding of database security and compliance tools 
 Excellent technical and analytical skills  
 Experience with machine learning tools is a plus (i.e., Azure Machine
Learning) 

 A Bachelor's degree in Computer Science, Engineering, or another related
technical field is a plus.  
 Effective communication skills both within the development team as well as a
professional approach in discussions with colleagues from other departments.  
 Fluent in English (both verbally and in writing), French is a plus.  
 Data engineering certification (i.e., Azure Data Engineer Associate) is a plus

Additional Information

What do we offer?

• A fun and relaxed, yet dynamic working environment, a flexible program, a healthy life-work balance
• A young and dynamic team with an open and extraverted communication style and outstanding performances 
• Non-corporate organizational environment, where ideas are valued and engagement is rewarded

 If you like  warm, open and friendly environments and are looking forward to interesting projects, let's meet and talk about it.