Position: Python Data Engineer
Company: Global IT Support
Category: Data Engineer
Experience required: 2y
English level: intermediate

**About the client:**
Our company has more than 1500 team members serving over 5,000 clients on five continents, and we’re growing and changing rapidly. We are a fantastic company to work for — with great benefits, growth opportunities, and a terrific internal culture — and we truly believe that it’s people who make us thrive. Every day, we are transforming ourselves into a better partner for our customers, a better employer for our colleagues, and a better investment for our owners. We are growing fast and are always looking for new talented people to be part of the journey.

**Why to join our team as a Data Engineer?:**
The Data Engineer will sit in a geographically diverse cross-functional team of configuration and software engineers to support web scraping in the dynamic landscape of ever-changing source of information, which will ensure high-performance data ingestion is successful, a core component of our flagship brand protection product.
The team is dedicated to providing reliable data processing, focusing on end-of-pipe final assessments and storage, and this is the key to being able to discover Intellectual Property abuse online, including playing the cat-and-mouse counterfeiters’ game.
You’ll be working under the guidance of a Data Architect to efficiently validate, cleanse, transform, and persist data in a variety of stores including application database, data lake, and data warehouse.

**What will you do?:**
Design, implement and maintain complex data engineering solutions to acquire and prepare data.
Create and maintain data pipelines to connect data within and between data stores, applications, and organizations.
Monitor application of data standards and architectures, including security and compliance.
Carry out complex data quality checking and remediation.

**What do we ask of you?:**
Bachelor of Computer Science (B.Sc.), Engineering, or equivalent qualification.
Expertise in data engineering.
Good knowledge of modern web application design including RESTful web services, web applications, databases, and operating systems.
In-depth experience of the software development lifecycle and code repositories such as git, including branching and merging flows.
Python, Django, AWS, Kafka, Airflow, Cassandra, BigQuery, MySQL, Postgres.
Linux tool chain.

**We offer:**
Competitive work environment
Attractive salary at or above market rate
Full career development program
Flexible working schedule
Compensation for sick leaves and regular vacations
Unforgettable corporate events within a friendly team
Free English language school