We are looking for data engineers with relevant experience and a passion for data.

What we offer

• Interact with C-level at our clients on regular basis to drive their business towards impactful change
• Lead your team in creating new business solutions
• Seize opportunities at the client and at Metyis in our entrepreneurial environment
• Become part of a fast growing international and diverse team

What you will do

• Engineer complete technical solutions to solve concrete business challenges in the areas of digital marketing, eCommerce, Business Intelligence and self-service analytics.
• Collect functional and non-functional requirements, consider technical environments, business constraints and enterprise organisations.
• Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymisation pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
• Collaborate closely with partners, strategy consultants and data scientists in a flat and agile organisation where personal initiative is highly valued.
• Share data engineering knowledge by giving technical trainings.
• Guide and mentor team members.

What you will bring

A broad practice in multiple software engineering fields:

• Must have experience on Python, SQL and Distributed programming languages,
• preferable Spark
• Experience working on Cloud, Azure is a plus
• Experience working setting up data lakes using entire Big Data and DWH ecosystem
• Experience on data workflows and ETL, Apache Airflow is a plus
• Comfortable with Unix OS type systems, Bash and Linux
• Basic knowledge of webservices and APIs
• Basic knowledge of Containers and Docker as platform
• Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub)
• Knowledge of security practices
• Software development practices (Agile)

A strong focus on data processing:

• Object oriented programming
• Data workflows, monitoring, architecture and security
• Databases: theory and practice
• Distributed data processing
• Concepts of functional programming
• Enterprise data warehousing, business intelligence and ETL principles
• Good written and oral communication skills in English language