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 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, Visualization 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.
JOB DESCRIPTION
We are seeking a skilled and motivated Data Engineer to join our dynamic team in Madrid. You’ll play a key role in building, optimizing, and maintaining our cloud-based data infrastructure. If you thrive in a collaborative environment, have a passion for data, and want to contribute to impactful projects, this role is for you!
This is a hybrid position in Madrid.
Note : All applications / CVs must be submitted in English.
Responsibilities
* Create and maintain comprehensive documentation for ETL processes, data models, and dictionaries.
* Develop and implement ETL processes for extracting, transforming, and loading data from diverse sources to data warehouses or other systems.
* Design and deliver data integration solutions using Google Cloud Platform (GCP).
* Optimize ETL workflows and database queries to enhance performance and efficiency.
* Define, design, and develop data ingestion processes to build the Data Warehouse and Data Lake in the cloud.
* Perform SQL-based data validation to ensure data accuracy and consistency.
* Collaborate with cross-functional teams to provide clean, structured data.
Requirements
* 2+ years of hands-on experience with BigQuery and Google Cloud Platform, including designing and managing data warehouses.
* Proficiency in SQL, with expertise in writing and optimizing complex queries for large datasets.
* Strong Python skills, with experience in data manipulation libraries such as Pandas and NumPy.
* Familiarity with SQL Server and transitioning on-premise databases to cloud-based systems.
* Ability to gather and translate business requirements into technical specifications effectively.
* Experience designing and implementing scalable data architectures and workflows in the cloud.
* Strong communication and interpersonal skills.
* Fluency in English.
* Must be a Spanish or European citizen or have a work permit for Spain.
Nice to Have
* Familiarity with DataStage and Talend for ETL development.
* Experience using Dataform (SQL) for analytics project dependencies.
* Knowledge of deploying containerized applications using Cloud Run (Docker).
* Experience integrating data pipelines with Power BI for visualization purposes.
* Previous experience in migration projects, particularly moving on-premise systems to cloud platforms.
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