At Ytech, we live and breathe technology.
Founded in 2020, we are a technology start-up operating in the IT and Telecommunications sectors, with a clear ambition: to shake up the market, break conventions, and create real value through innovation.
Work Model: Hybrid (3 days on-site per week)
We are looking for a Data Engineer to join a challenging project in the Data Engineering field, contributing to the design, development, and implementation of scalable data solutions, ensuring efficient data integration, processing, and management to support business operations and decision-making.
Participate in requirements refinement and design technical solutions aligned with business needs, following the client's data standards and frameworks;
Develop and implement data pipelines, data processing workflows, and APIs using the technologies available within the data platform;
Perform development testing, ensuring proper validation and documentation of test results;
Support QA teams during System Integration Testing (SIT) and take responsibility for production deployments;
Analyze and resolve production incidents related to existing data pipelines and REST APIs;
Take ownership of technical documentation,



ensuring accurate and up-to-date information in User Stories and the Data Catalog.
Experience working in Agile environments;
Fluency in English, both written and spoken.
At least 3 years of experience in Data Engineering;
Good knowledge of Data Architecture and Data Modeling;
Experience with data-oriented Python programming , following a functional programming approach;
Experience working with relational databases and SQL;
Experience integrating and consuming REST APIs within data pipelines and ETL processes;
Experience integrating and consuming SOAP APIs within data pipelines and ETL processes;
Experience with dbt (Data Build Tool) (highly valued);
Knowledge or experience with Apache Spark (nice to have);
Experience developing Data APIs (nice to have).
Be part of a growing technology company working on innovative and challenging projects;
Opportunity to work with modern Data Engineering technologies and contribute to impactful data-driven solutions;
Professional development and career growth opportunities;
Hybrid work model, promoting flexibility and work-life balance.
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📌 Data Analytics Engineer SQL (Salamanca)
🏢 Ytech
📍 Salamanca