Metyis is growing! We are looking for a Data Engineer Analyst with +2 years of experience to join our international Data & Analytics team based in Barcelona or Madrid.
Requirements
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.
Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs.
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 will do
Contribute to the implementation of the technical roadmap of our clients, aligning with the overall technology and architecture guidelines.
Support the development and maintenance of data platforms and pipelines, ensuring technical and non-technical components integrate effectively to meet business needs.
Collaborate in the development of digital solutions using Python, Spark, RESTful APIs, and Microsoft Azure Cloud services.
Apply best practices and follow established digital frameworks and coding standards to ensure technical consistency.
Learn from senior engineers and participate in code reviews and technical discussions to continuously grow your technical skills.
Assist in building data insights and analytics components, such as dashboards, data transformations, and integrations, often in collaboration with data science and business teams.
Participate in project activities, helping to evaluate business requirements and translate them into technical tasks alongside more experienced team members.
What you’ll bring
Bachelor’s degree in Engineering, Computer Science, Mathematics, Economics or related technical field
2–3 years of experience developing and maintaining ETL/ELT pipelines
Practical knowledge of Azure services: Data Factory, Synapse, Databricks
Solid understanding of relational databases and data modeling (3NF, ODS, Data Marts)
Proficient in SQL for data transformation and analysis
Experience with Python (ideally PySpark) and scripting languages such as Bash
Familiarity with GitHub or similar version control platforms
Basic understanding of Power BI or other visualization tools is a plus
Strong communication and collaboration skills
Proactive, self-driven, and able to work independently