THE PLACE TO BE

Empowered by our motto, "making data matter," Keyrus stands at the forefront of global consultancy in Data & Analytics, AI &Machine Learning, and Digital Transformation.

With a presence in 27 countries across 4 continents, we're on a mission to help our clients to improve their performance leveraging technological and functional expertise in data and analytics.

We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.

With more than 3200 employees in all corners of the world, we help our clients on a global level with extensive knowledge, a start-up mindset, and a powerful international network.

Keyrus is looking for a new Data Engineer to join our team. We value individuals who are detail-oriented, independent contributors with exceptional communication and problem-solving skills, ensuring that together, we continue to transform possibilities into reality.

This position is Hybrid - Madrid based.

Target start date = February 2025

Note: All applications/CV’s must be submitted in English.

Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines using Python and SQL.
• Implement ETL processes to extract, transform, and load data into the Snowflake data warehouse.
• Create and optimize data models, tables, and database structures within Snowflake.
• Develop database solutions to support analytical and reporting requirements.
• Integrate data from various sources into Snowflake, ensuring data quality through transformation and cleansing.
• Optimize data pipelines and SQL queries for performance, scalability, and efficiency.
• Conduct performance tuning and resolve bottlenecks.
• Collaborate with data scientists, analysts, and stakeholders to understand and deliver data solutions.
• Integrate data solutions with existing IT systems.
• Implement and monitor data quality checks to ensure data integrity.
• Adhere to best practices in data governance and security.

Profile

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of relevant experience as a data engineer.
• Proficient in Python programming for data manipulation and scripting.
• Strong SQL skills for database development and querying.
• Expertise in Snowflake features like Streams, Tasks, DAG, Data Sharing, UDF, and Time Travel.
• Proficiency in Snowflake architecture and warehouse management.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Good to have

• Experience with Talend or Oracle Data Integrator (ODI).
• Additional expertise in advanced ETL tools and frameworks.
• Knowledge of other data warehousing solutions.

CAREEER

The sky is the limit! We believe in people and the value they bring to our organization, that is why we are proud to have a company culture focused on people and for the people.

LEARNING AND DEVELOPMENT

In constant improvement! Our employees are the engine that makes Keyrus work every day, and those who make a difference in the projects we develop constantly receive training in the most cutting-edge technologies.

WORK ENVIRONMENT

Good vibes only! We have a diverse, inclusive and pleasant environment. Teamwork, good environment, and company events we organize throughout the year to nurture and continually improve the company-employee relationship.

INNOVATION

We want to change the world! Innovation runs in our DNA, and we want our future co-workers to have that passion, commitment, enthusiasm and cooperative spirit that is part of our essence.

SOCIAL BENEFITS

Our strategy to change and improve our world begins through different social initiatives promoted by our Human Resources department such as flexible hours, family conciliation, and competitive remuneration packages at market level.