The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change
Become the go-to person for end-to-end data handling, management, and analytics processes
Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization
Become part of a fast-growing international and diverse team
Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions
Collaborate and work closely with teams to better understand the end-user requirements
Develop, and maintain data pipelines using Azure Data Factory and other technologies, ensuring efficient and cost-aware processes
Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly
Work with Azure Data Lake Storage to manage and store large datasets, ensuring data is easily accessible and well-organized
Implement data quality and data governance best practices to ensure the accuracy, consistency, and security of data
Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks
Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools
Create and maintain documentation related to data pipelines, data storage, and data processing workflows
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 1-2 years of experience in a data engineering role
Proficiency in SQL and Python
Experience with Databricks or other pay-as-you-go DWH technologies
Familiarity with big data technologies and distributed processing tools
Understanding of data integration and ELT processes
Good problem-solving skills and the ability to work collaboratively in a team environment
Excellent written and verbal communication skills in English and Spanish
At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.