Senior Data Engineer – Data Platforms@ING Hubs Romania

Location: Bucharest, 10, RO

Employment Type: Full time

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 and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services. 

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

Act as a Senior Data Engineer by delivering high‑quality results within your squad and providing technical guidance. You will work with modern data engineering and software development technologies such as Python, Apache NiFi, Apache Kafka, GCP (BigQuery, Dataflow, Pub/Sub, Composer), Terraform and  Azure DevOps.

Your Day-to-Day

Build and configure scalable data pipelines using Apache NiFi and GCP services (e.g., BigQuery, Dataflow, Pub/Sub), ensuring they are reliable, performant, and aligned with platform standards.
Develop automated data flows and orchestration patterns, enabling internal users to manage and consume data pipelines independently through NiFi, GCP, and supporting platform tools.
Contribute to the strategy, architecture, and lifecycle management of the next-generation Data Management Platform.
Analyse risks, issues, and technical challenges to support effective decision‑making while creating and managing mitigation plans for your squad.
Safeguard the adoption of Agile–Scrum principles in the day‑to‑day work of the team.

What You’ll Bring to the Team

Excellent communication skills—both spoken and written—with the ability to align with stakeholders at multiple levels.
Strong capability to innovate, engineer, and productize data and software solutions.
Solid hands‑on experience with Python development.
Experience working with GCP data engineering tools (e.g., BigQuery, Dataflow, Pub/Sub, Composer) is a strong plus.
Good knowledge of big data technologies and architectures.
In-depth understanding of:

Database concepts and database design
Data warehouse & data lake concepts
Data streaming and data integration
ETL/ELT processes and tools (including Apache NiFi, IBM DataStage)
Good knowledge of Linux or other Unix-based operating systems.
Hands-on experience with Infrastructure-as-Code (IaC), preferably Terraform.
Familiarity with Azure DevOps pipelines and CI/CD practices.
Up‑to‑date awareness of industry standards, data engineering trends, and modern data management practices.
Ability to translate both functional and non-functional requirements (e.g., security, availability, scalability) into technical implementations.
Understanding of Agile–Scrum methodology.
Excellent written and spoken English.

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).