Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members.
Interact with data engineers on regular basis to drive innovation and create impact on our clients
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment.
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 a data professional to join our Data Engineering team.
Work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights.
You’ll find how to leverage the data and the models to create and improve products for our customers, in lean development cycles.
Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses;
Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts.
Ingest data-sources into our data management platforms
Structure data into a scalable and easily understood architecture
A broad practice in multiple software engineering fields
At least 1 year of consultancy experience or relevant industry experience
Hands-on experience including programming to implement pipelines integrating database management systems, cleaning data and improving its data quality
Knowledge in Azure (AWS or GCP as plus) and at least one programming language (Python, R, Scala), Hadoop clusters, different SQL and nonSQL databases
Experience with agile methodologies
You are inventive and passionate about streamlining and automating data acquisition, and possess a highly structured approach to problem solving.
Must have experience on Python, SQL and Distributed programming languages, preferable Spark
Experience on data workflows and ETL, Apache Airflow is a plus
Basic knowledge of Containers and Docker as platform
Experience using Version Control, Testing and development cycle, preferable git (Gitlab or GitHub)
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