Data Engineer
Role details
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Tech stack
Job description
At ING we are looking for a competent Data EngineerSe anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura.Your role and work environment:We are looking for a talented and enthusiastic Data Engineer to join Data & AI tribeThe 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.Your key responsibilities: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 solutionsCollaborate with different areas contributing to Spain ING Data StrategyWhat are we looking for?, We hire and support people for their talent and potential - and we know that when you can be yourself, you do your best work.Job Application Safety ReminderWe're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:
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Apply only via official ING platforms: ING uses Workday and LinkedIn as its internal recruitment system. Applications should be submitted only via our official career site or via ING job postings on LinkedIn.
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Check the sender's email carefully: Legitimate communication will always come from @ and/or @. xqysrnh
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No payments or banking details will ever be requested: If someone asks for this information, it's a scam.
Requirements
A person who works and acts rapidly based on intuition, instead of reasoning step-by-step; Knows the difference between important and less important details.A person flexible and adaptable, capable of facing uncertainty, acquiring knowledge in various disciplines and updating it as often as necessary.An assertive person, able to communicate clearly and directly, but adequately.The competent 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 Bank and Finance Industry.
- Has working experience in Agile environments.
- Has clear communications skills as well as a high English level (written and oral).
- Is able to work without instructions and to take initiative.
- Makes things happen thanks to his/her 'can do' attitude.
- Has a problem solving mindset.
- Is a team player (daily connection with other departments is expected)- Has the ability to work on an international level.
- Takes the initiative for improving processes, ensuring creative ideas are implemented.
- Is a leader of our Orange Code culture, displaying a positive attitude, commitment towards our goals, accountable, eager to learn and is not afraid of change.
- Considering the software you may use as a Data Software Engineer, specific experience would be desirable for the following:* Experience within Data Lake and Big Data environments* BigQuery* Oracle (19c)* Data virtualization or denodo tool* IBM DataStage & IBM IGC* IBM Cognos, Power BI and/or MicroStrategy or similar BI tools* Azure Devops or other devops cloud service* Has knowledge & experience in cloud environments.
- Security, monitoring and logging skills (e.G. ELK, Prometheus, Grafana)* Ability to create automation tools (e.G. Python/Go, DBT)* Has knowledge of Elastic Cloud Storage (ECS)What do we offer?