Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members.
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment.
Collaborate closely with partners, strategy consultants and data engineers in a flat and agile organization where personal initiative is highly valued
Become part of a fast growing international and diverse team
We are Metyis. We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients.
With our multidisciplinary teams we create bold strategies and innovative solutions that are tailored to our client’s needs and help them capitalising opportunities. Together we strive to bring long-lasting impact and celebrate collective victories.
At Metyis we share and entrepreneurial mind-set, a compelling passion to create and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. Our work environment unifies creative problem-solving and strategic thinking. We provide resources to visionaries who understand the direction that the world is moving. Tomorrow’s world is data-driven. It is digital. It is international.
Become part of the journey, become part of Metyis. Partners for impact.
Metyis is growing! We are looking for an experienced professional to join our Data Engineer team.
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 organizations.
Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization 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 organization where personal initiative is highly valued.
Share data engineering knowledge by giving technical trainings.
Guide and mentor team members.
3-6 years of professional experience in software engineering
A broad practice in multiple software engineering fields
Backend and/or frontend development in any programming language of your choice
Design of web services
Algorithms and complexity analysis
Linux system administration, development and production environments
Cloud, container and microservices infrastructures
Development workflow automation
A strong focus on data processing
Databases, theory and practice
Distributed data processing
Real-time event processing
Concepts of functional programming
Data privacy and anonymization techniques
Enterprise data warehousing, business intelligence and ETL principles
Statistics and analytics
Ability to work in the English language with strong written and oral communication skills
Willingness to travel for business meetings, as required
Good to have experience in retail and / or banking industry