Senior Data Engineer @ING Hubs RO

Discover ING Hubs Romania

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of 𝐨𝐯𝐞𝐫 𝟐𝟎𝟎𝟎 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬, 𝐫𝐢𝐬𝐤, 𝐚𝐧𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬.

We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and 𝐨𝐩𝐞𝐫𝐚𝐭𝐞 𝐟𝐫𝐨𝐦 𝐭𝐰𝐨 𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧𝐬: 𝐁𝐮𝐜𝐡𝐚𝐫𝐞𝐬𝐭 𝐚𝐧𝐝 𝐂𝐥𝐮𝐣-𝐍𝐚𝐩𝐨𝐜𝐚.

𝐎𝐮𝐫 𝐭𝐞𝐜𝐡 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐫𝐞𝐦𝐚𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐫𝐞 𝐨𝐟 𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.

For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?

The Mission

We are seeking a Senior Data Engineer to design, build, and optimize data pipelines and platforms that enable advanced analytics and business intelligence. This role emphasizes ETL development, data modeling, BI integration, and modern automation practices using Python and Apache Airflow, with experience in Azure DevOps and optional exposure to Google Cloud Platform (GCP).

Your day to day

• ETL Development: Design, implement, and maintain ETL workflows using enterprise tools (IBM DataStage, Informatica, or similar).
• Data Modeling: Develop and optimize data models for analytics and reporting, ensuring scalability and performance.
• BI Enablement: Integrate and support BI tools, with a focus on Power BI and IBM Cognos, enabling self-service analytics.
• Automation & Orchestration: Build Python scripts for data automation and orchestrate workflows using Apache Airflow.
• Cloud & DevOps: Utilize Azure DevOps for CI/CD pipelines, deployment automation, and version control.
• Cloud Integration (Nice-to-Have): Familiarity with GCP services (BigQuery, Cloud Storage, Dataflow, Composer) for data processing and deployment.
• Data Platform Strategy: Contribute to the evolution of next-generation data management platforms.
• Quality & Governance: Ensure data quality, security, and compliance across all solutions.
• Agile Delivery: Safeguard Agile-Scrum principles in team operations, promoting iterative delivery and continuous improvement.

What you’ll bring to the team

• Proven experience in ETL development and data engineering.
• Strong knowledge of data modeling for analytics and BI.
• Hands-on experience with Python automation and Airflow orchestration.
• Experience with BI tools (Power BI, IBM Cognos) and enabling self-service reporting.
• Familiarity with Azure DevOps for CI/CD and deployment automation.
• Understanding of Agile methodologies and experience in Scrum teams.
• (Nice-to-have) Exposure to GCP and its data services.

Tech Stack & Tools

• ETL Tools: IBM DataStage, Informatica (or similar)
• Languages: Python (automation and scripting)
• Orchestration: Apache Airflow
• BI Tools: Power BI, IBM Cognos
• Cloud & DevOps: Azure DevOps
• Databases: Oracle Exadata, SQL-based systems
• Cloud (Nice-to-Have): Google Cloud Platform (BigQuery, Dataflow, Composer)
• (Optional): Apache NiFi, Cloudera

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).