At ING we are looking for a Data Engineer
We are looking for a talented and enthusiastic Data Engineer to join Data & AI tribe
The Data & AI Tribe is focused on being Data Best-in-class, by ensuring the right data is in the right place at the right time for the right people to ignite the Data Spark.
In order to achieve that mission, we are currently looking for a competent Data Engineer that would be part of an international project, collaborative between different countries, developing in a Cloud & DevOps environment.
You would be focused on maintaining and evolving our informational platforms, which aims to be used for Data Management, as well as Regulatory & Analytical Reporting at ING.
We work in an Agile & DevOps environment, where Scrum & Kanban are part of our One Agile Way of Working. You would be part of a Scrum Team, working on two-weeks sprints and using Azure as a key-tool for our Software Development Life Cycle and keeping our IT Risk under control.
As a Data Engineer you will:
Ensure best practices within technical design, development of ETL processes and modelling informational solutions.
Monitor end-to-end processes, ensuring their operation, detection of technical issues and search for solutions based on Data.
Care of platforms sustainability, within Minimum Standards from IT and Risk perspective.
Guarantee that ETL delivered and promoted through Azure pipelines and modelling informational solutions are aligned with our best practices.
Analysis of business needs for implementation and propose IT solutions
Collaborate with different areas contributing to Spain ING Data Strategy
These are some of the qualities that we value the most for this role. A person flexible and adaptable, capable of facing uncertainty, acquiring knowledge in various disciplines and updating it as often as necessary.
The Data Engineer we are currently looking for is someone who:
- Has technical knowledge in Databases (SQL and NO SQL), ETL Processes & BI Reporting.
- Is an expert in Data Modelling & Data Architecture for Informational platforms.
- Has good analytical skills, with proven domain experience in data warehousing, data lakes, and data virtualization within
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We are looking for a talented and enthusiastic Data Engineer to join Data & AI tribe
The Data & AI Tribe is focused on being Data Best-in-class, by ensuring the right data is in the right place at the right time for the right people to ignite the Data Spark.
In order to achieve that mission, we are currently looking for a competent Data Engineer that would be part of an international project, collaborative between different countries, developing in a Cloud & DevOps environment.
You would be focused on maintaining and evolving our informational platforms, which aims to be used for Data Management, as well as Regulatory & Analytical Reporting at ING.
We work in an Agile & DevOps environment, where Scrum & Kanban are part of our One Agile Way of Working. You would be part of a Scrum Team, working on two-weeks sprints and using Azure as a key-tool for our Software Development Life Cycle and keeping our IT Risk under control.
As a Data Engineer you will:
Ensure best practices within technical design, development of ETL processes and modelling informational solutions.
Monitor end-to-end processes, ensuring their operation, detection of technical issues and search for solutions based on Data.
Care of platforms sustainability, within Minimum Standards from IT and Risk perspective.
Guarantee that ETL delivered and promoted through Azure pipelines and modelling informational solutions are aligned with our best practices.
Analysis of business needs for implementation and propose IT solutions
Collaborate with different areas contributing to Spain ING Data Strategy
These are some of the qualities that we value the most for this role. A person flexible and adaptable, capable of facing uncertainty, acquiring knowledge in various disciplines and updating it as often as necessary.
The Data Engineer we are currently looking for is someone who:
- Has technical knowledge in Databases (SQL and NO SQL), ETL Processes & BI Reporting.
- Is an expert in Data Modelling & Data Architecture for Informational platforms.
- Has good analytical skills, with proven domain experience in data warehousing, data lakes, and data virtualization within
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