Data Engineering Associate

• 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.

Do you have experience in Spark?, Do you have a Master's degree?, * Bachelor's degree in Engineering, Computer Science, Mathematics, Economics or related technical field. Master's degree is a plus.

• 4+ years of hands-on experience building data pipelines and solutions at production scale
• Advanced experience with Azure services including Data Factory, Databricks, Synapse, Azure Functions, App Logic
• Strong knowledge of relational databases, data lakes, data vault modeling, and warehousing best practices
• Proficient in SQL for complex data transformation and profiling
• Strong experience with Python (including PySpark) and scripting languages such as Bash
• Experience implementing CI/CD workflows and automated testing frameworks (unit, integration)
• Hands-on experience with orchestration and infrastructure tools like Airflow, Kubernetes, Great Expectations
• Familiarity with modern data architectures like Lambda and Kappa
• Solid data governance and data quality implementation experience
• Customer-centric and passionate about delivering high-quality digital products
• Ability to work in ambiguous environments and drive solutions independently
• Strong stakeholder management and reporting capabilities.

Metyis is growing! We are looking for a Data Engineering Associate with +4 years of experience to join our international Data and Analytics team based in Madrid, Barcelona or Porto., 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., 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.     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.