At Ytech, we live and breathe technology.
Our mission is to turn challenges into solutions and find new ways to innovate every day.
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.
What's the challenge we have for you?Work Model:Hybrid (3 days on-site per week)We are looking for aData Engineerto join a challenging project in theData Engineeringfield, 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.
What will you do?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.
What do we value in you?Strong teamwork and collaboration skills,



with the ability to engage effectively with different stakeholders; Results-driven mindset and commitment to achieving goals; Experience working in Agile environments; Excellent communication skills, with the ability to translate technical concepts into business value; Strong analytical and problem-solving skills, with the ability to design technical solutions that meet business requirements; Fluency in English, bothwritten and spoken.
What are we looking for?At least3 years of experiencein Data Engineering; Previous experience in theFinancial Services sector(preferred); Good knowledge of Data Architecture and Data Modeling; Experience with data-orientedPython programming, following a functional programming approach; Experience working with relational databases and SQL; Experience integrating and consumingREST APIswithin data pipelines and ETL processes; Experience integrating and consumingSOAP APIswithin data pipelines and ETL processes; Knowledge of Git, CI/CD practices, and multi-branch development strategies; Experience withdbt (Data Build Tool)(highly valued); Knowledge or experience withApache Spark(nice to have); Experience developingData APIs(nice to have).
Benefits of joining our team:Be part of a growing technology company working on innovative and challenging projects; Opportunity to work withmodern Data Engineering technologies and contribute to impactful data-driven solutions; A dynamic and collaborative environment that encourages knowledge sharing; Professional developmentand career growth opportunities; Hybrid work model, promoting flexibility and work-life balance.

📌 Data Engineer (Madrid)
🏢 Ytech
📍 Madrid