Data Engineering Associate

Metyis AG; Porto; Presencial; EUR 48 000 - 68 000; Tempo integral

Resumo da oferta

Metyis AG in Porto is looking for a Data Engineering Associate with 3-6 years of experience to join our global Data and Analytics team at our Digital Campus in Porto.

You will diagnose problems, work on ETL activities, and develop scalable data processing solutions while collaborating with data science, reporting and product teams. Excellent English communication and a graduate degree with analytics-focused courses are required.

Qualificações

• 3–6 years of experience in data engineering.
• Graduate degree or higher with programming and data analytics courses.
• Strong logical reasoning, critical thinking and problem-solving.
• Proficient in Python and/or Scala and SQL.
• Knowledge of big data basics and cloud platforms (Azure, AWS or GCP).
• Familiarity with Git and CI/CD workflows.
• Excellent written and oral English communication.

Responsabilidades

• Diagnose problems and develop hypotheses to drive impactful solutions.
• Handle structured and unstructured data across the lifecycle.
• Work on ETL activities and data processing automation.
• Develop and maintain data processing codes for scalable solutions.
• Create data solutions for clients/projects and communicate with executives.
• Collaborate with data science, reporting and product teams.

Conhecimentos

Python/Scala

SQL

Big data basics

Cloud platforms (Azure/AWS/GCP)

Git/CI-CD

English communication

Critical thinking

Formação académica

Graduate degree or higher with courses in programming and data analytics

Ferramentas

Git

CI/CD

Descrição da oferta de emprego

Metyis is growing! We are looking for a Data Engineering Associate with 3-6 years of experience to join our global Data and Analytics team at our Digital Campus in Porto.

Who we are

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 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.

What you’ll do

• Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions

• Undertake processing of structured and unstructured data

• Undertake work related to ETL activities

• Development of data processing codes for automation & building scalable solutions

• Develop and maintain data solutions for clients / projects

• Communicate and interact with clients at the executive level

• Collaborate with data science, reporting and product development teams

What you’ll bring

• 3 – 6 years of experience in the field of data engineering

• Education: Graduate degree or higher with courses in programming, data analytics

• Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities

• Good programming skill in Python/scala or any scripting language

• Good knowledge of SQL is a required

• Basic knowledge and understanding of big data

• Knowledge on any one of the cloud platforms like Microsoft Azure, AWS or GCP

• Good to have GIT, CI-CD knowledge

• Strong business acumen and appreciation for business processes is desired

• Excellent written and oral communication skills in English language is a must