Data & BI Engineer

come to ING MAD to offer your best self, ensuring work-life balance and collaboration. We are proud to have a diverse team, and we are committed to continue developing a culture of diversity, inclusion and belonging, fostering collaboration and innovation across all collectives. J-18808-Ljbffr

Overview At ING, we are looking for a competent Data Engineer to join our Data & AI tribe. The team focuses on ensuring the right data is in the right place at the right time for the right people to ignite the Data Spark. The role is part of an international project across multiple countries, developed in a Cloud & DevOps environment. You will maintain and evolve our informational platforms used for Data Management and Regulatory & Analytical Reporting. We work in an Agile DevOps environment with Scrum and Kanban; you will participate in a Scrum team, working in two-week sprints and using Azure as a key tool for our Software Development Life Cycle while keeping IT risk under control. Responsibilities - Ensure best practices within technical design, development of ETL processes, and modeling of informational solutions. - Monitor end-to-end processes, ensuring operation, detecting technical issues, and finding Data-based solutions. - Take care of platform sustainability within minimum IT and risk standards. - Guarantee that ETL delivered and promoted through Azure pipelines and modeling solutions are aligned with best practices. - Analyze business needs, propose IT solutions, and collaborate with different areas contributing to Spain ING Data Strategy. Qualifications - Technical knowledge in databases (SQL and NoSQL), ETL processes, and BI reporting. - Expertise in data modeling and data architecture for informational platforms. - Good analytical skills with proven domain experience in data warehousing, data lakes, and data virtualization within the banking and finance industry. - Experience working in Agile environments. - Strong communication skills and high level of English (written and oral). Desired Experience - Experience within Data Lake and Big Data environments (BigQuery, Oracle 19c). - Data virtualization or Denodo tool. - IBM InfoSphere DataStage, IBM IGC. - BI tools such as IBM Cognos, Power BI, MicroStrategy, or similar. - Azure DevOps or other cloud DevOps services. - Knowledge and experience in cloud environments. - Security, monitoring and logging skills (ELK, Prometheus, Grafana). - Programming in Python/Go, DBT. - Knowledge of Elastic Cloud Storage (ECS). Benefits & Working Conditions - Versatile remuneration model, tax-advantaged way allowing access to services such as nursery, transport card, and training aids. - Health insurance. - Banking benefits with special mortgage conditions after 6 months. - 360 care of the employee (physical, mental, social connection, purpose). - Employee Networks: Rainbow Lions (LGBTQI+), Leonas & RIÑG. - International exposure: work with an international bank with presence in more than 40 countries. - Remote work program: flexible home-office options; remote working from anywhere. - Commuting assistance: 6 public transport routes to ING office in Madrid. Work Environment Thus, you will determine together which days you work at home and which you