Data Engineering Analyst

Data & Analytics

Junior

Barcelona

Who we are

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 Big 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.

What we offer

Interact with senior stakeholders 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.
Work 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.

What you will do

Design, build and maintain big data architecture and data pipeline.
Define and implement software solutions for scalability and maintainability.
Solve problems, disaggregate issues, develop hypotheses and develop actionable solutions to support data engineering and data scientists teams.
Kept up to date with latest industry knowledge and news to maintain and improve enterprise and business platforms.
Develop and implement CI/CD pipeline automation solutions.
Support and improve agile culture in your team.
Collaborate and work closely with teams to better understand the end-user requirements.

What you’ll bring

Relevant knowledge in defining and implementing data architectures, optimized for performance.
At least 1-2 years of relevant experience in the Data Engineering field.
Good Spanish and English level.
Accuracy and maintainability.
Relevant knowledge in defining, implementing and maintaining ETL processes.
Good knowledge in the implementation of data cleaning and data transformation pipelines in a Spark environment ,with Python.
Relevant Expertise with SQL and Apache Spark environments.
Solid grasp of OLAP architectures.
(Optional) Previous experience in Microsoft Azure platform.
Technical skills regarding cloud-based software architectures and cloud solution deployment and management.
Ability to collaborate and follow best practices, using Git and devops based projects.
Solid grasp of the basics of CI/CD (continuous integration, deployment automation).
Comfortable with schema-on-read databases (e.g. Redis).
Comfortable with Kubernetes design and operations (k8s objects definitions and deploy, Helm charts)
(Optional) Previous experience with JavaScript, CSS, and HTML.