Data engineer

We are a fast growing and innovative internet development company, with over 15 years of experience in building and maintaining web-based projects. Our main focus is the development and enhancement of one of the largest websites in the world, having an audience in the top 300 sites world-wide.
We value our staff by investing in their development, health and good employment practices. Our workplace has a creative, well-organized, dynamic and fun atmosphere, which allows people to develop their potential and enjoy sharing experience with other professionals.

As a Data Engineerill be part of the Data Science team. This is an independent team with focus on innovation and cutting edge technologies. The new colleague will work closely with other team members and will have the chance to make a name in company by working on important business-facing projects. You will report to Team Lead and further to stakeholders.

The Data Engineer should prove knowledge of data structures, data systems and ETL processes.

Our future colleague feel comfortable in working across our distributed data systems and acting as a reliable colleague for the data scientists in preparing data sets needed.
Technical Skills:

-Advanced SQL knowledge;
-Experience working with SQL and NoSQL data systems: SQL Server, MySQL, MongoDB, -Neo4J,SnowplowAWS Redshift etc.
-Experience with ing languages: Python, php, Scala,PostgreSQL,etc.
-Desirable to have experience working with Big Data systems such as Hadoop ecosystem

-Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader;
-In charge of company's Data Lake (Big Data technologies);
-Assemble large, complex data sets that meet functional non-functional business requirements;
-Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
-Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies;
-Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics;
-Deploy sophisticated analytics programs, machine learning and statistical methods using Docker files;
-Conduct research for industry and business questions;
-Develop, constructs and maintains data architectures;
-Recommend and sometimes implement ways to improve data reliability, efficiency and quality.

We have:

-Benefits and professional development according to each individuals needs;
-Cozy workplace located within walking distance of many delicious restaurants and cafs;
-In the days this doesnt work for you, our office kitchen is always fully stocked with both sweet and savoury snacks and drinks!

We are looking for a colleague to join our growing team in order to be eager to create innovation in the company. We appreciate proactivity and encourage curiosity. The successful Data Engineer should became a trustful and reliable data expert.