Data Engineer

ING is seeking a competent Data Engineer to join the Data & AI tribe in Ibiza, Spain. This role focuses on Cloud & DevOps with responsibilities including maintaining information platforms for data management and regulatory reporting., * Ensure best practices in technical design, ETL development, and data modelling.

• Monitor end-to-end processes, detect technical issues, and propose solutions.

• Maintain platform sustainability under IT and risk minimum standards.

• Analyze business needs and propose IT solutions., IBM Cognos Azure DevOps Oracle 19c Python Descrição da oferta de emprego Role Overview, * Ensure best practices in technical design, ETL development, and data modelling.

• Monitor end-to-end processes, detect technical issues, and propose data-driven solutions.

• Maintain platform sustainability under IT and risk minimum standards.

• Guarantee that ETL and modelling are delivered through Azure pipelines and aligned with best practices.

• Analyze business needs, propose IT solutions, and collaborate across areas contributing to Spain ING Data Strategy.

The ideal candidate will have significant experience in databases, data modelling, and data warehousing within the banking and finance sectors. A flexible working model and comprehensive benefits package, including health insurance and remote work options, are offered., * Proven experience in databases (SQL & NoSQL), ETL processes, and BI reporting.

• Expertise in data modelling & architecture for informational platforms.

• Good analytical skills with experience in data warehousing, data lakes, and data virtualization.

• Strong communication skills and high English proficiency., SQL & NoSQL ETL processes Data modelling BI reporting Data warehousing Agile environments Problem-solving Leadership Communication skills Big Data Cloud environments, * Technical knowledge in databases (SQL & NoSQL), ETL processes, and BI reporting.

• Expertise in data modelling & data architecture for informational platforms.

• Good analytical skills with proven experience in data warehousing, data lakes, and data virtualization in banking and finance.

• Experience in Agile environments.

• Strong communication skills and high English proficiency (written & oral).

• Ability to work independently, take initiative, and act with a "can do" attitude.

• Problem-solving mindset, team player, and capacity to work internationally.

• Leadership qualities aligned with Orange Code culture, positive attitude, accountability, learning, and adaptability.

• Desirable experience: Data Lake & Big Data, BigQuery, Oracle 19c, Data virtualization or Denodo, IBM DataStage & IGC, IBM Cognos, Power BI, MicroStrategy, Azure DevOps, cloud environments, security/monitoring (ELK, Prometheus, Grafana), automation tools (Python, Go, DBT), Elastic Cloud Storage.

• Flexible working model with remote and office options.
• Restaurant card and flexible remuneration.
• Health and life insurance for you and family.
• Company shuttle with multiple routes to Madrid office.
• Special loan and mortgage conditions.
• Pension plan eligibility after 1 month.
• Physical, mental, and social employee care (physiotherapy, gym services, Employee Networks).
• International remote work program.
• Other perks such as electric mobility solutions, doctor, hairdresser, gym, The Good Service, and more.

Who we are

ING is a global bank with a strong European base. Our more than 60,000 employees offer retail and wholesale banking services in more than 100 countries. Our purpose is to empower people to stay a step ahead in life and in business.

Our products include savings, payments, investments, loans and mortgages in most of our retail markets. For our Wholesale Banking clients we provide specialised lending, tailored corporate finance, debt and equity market solutions, sustainable finance solutions, payments and cash management and trade and treasury services.

We aim to bring our customers value by making banking frictionless, removing barriers to progress and giving them confidence in their ability to make decisions and to move forward.