About the Position

Data Engineer | Analytics @ ING Bank

We are looking for a Data Engineer to join our Analytics team in Bucharest, Romania. As a Data Engineer, you will design, build, and maintain reliable data solutions that ensure secure, efficient, and scalable data flows across the organization. You will bring clarity to complex data ecosystems and contribute directly to ING’s data-driven strategy by enabling seamless analytics, automation, and decision-making.

Responsibilities

Evaluating data sources, flows, and tools to identify gaps and recommend optimal solutions for analytics and data science needs
Analyzing and optimizing databases and data processes, including scripting for maintenance, monitoring, and performance tuning
Applying expertise in database design, administration, and optimization to ensure accuracy, performance, and resilience
Using knowledge of operating systems (Windows and/or Linux) to automate, maintain, and troubleshoot data workflows
Leveraging networking concepts to enable secure and efficient data transfers across systems
Working with complex data elements and dependencies to support the development of scalable data models
Creating reusable scripts, data flows, and methodologies to improve analytics speed and reliability
Documenting all data pipelines, processes, and technical decisions to ensure consistency and quality
Managing recurring data processing flows and ensuring they meet established SLAs and quality standards
Recommending improvements for application software and infrastructure to enhance performance and reliability
Acting as a main technical contact for IT partners, ensuring system resilience, security, and compliance
Developing and maintaining data privacy and security procedures, always adhering to ING’s ethical standards

Requirements

1-3 years of experience as a Data Engineer, ideally in analytics-driven or data-intensive environments
Hands-on experience with Python for data processing, automation, and scripting; exposure to Spark / PySpark is a strong plus
Solid experience working with SQL for data extraction, transformation, and analysis; exposure to SAS is a plus
Experience delivering data pipelines and ML-enabled use cases, using technologies such as Spark, Pandas, and NoSQL / big data platforms
Bachelor’s degree in IT, Computer Science, Cybernetics, Automation, or a related technical field
Basic understanding of data modeling, database design, administration, and performance optimization
Practical experience with Windows and/or Linux environments, including automation, monitoring, and troubleshooting
Basic understanding of networking and security concepts, to support secure and reliable data flows
A data-driven mindset and strong digital fluency, with attention to data quality, reliability, and governance
Clear communication skills, able to collaborate effectively with Data Analysts, Data Scientists, and IT partners
Ability to build structured, reusable processes and work in a disciplined, production-oriented way
Team-oriented attitude, curiosity to learn new technologies, and the confidence to make decisions
Ability to manage complexity and synthesize large datasets into usable data products
Strong delivery mindset, with ownership from development to production and a customer-centric approach
English proficiency – above medium level, for technical documentation and cross-team collaboration

We Offer

Impactful work in a fun and collaborative environment
Open-concept offices designed for teamwork and relaxation
Corporate events and social gatherings
Hybrid way of working with flexible scheduling and short-week options
Monthly budget on Benefit platform
Extra annual leave days based on total work experience
Growth opportunities through upskilling/reskilling programs and multiple learning platforms (ING Learning Centre, Udemy, Bookster, trainings, certifications)
Access to internal roles, International Short-Term Assignments, or Long-Term Assignments
Opportunities to create impact through Sustainability and CSR projects

About the Company

At ING, we believe in a world where everyone should have the freedom to grow in their own way - our global tagline, “do your thing”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues, and the organization.

Working here means being surrounded by energetic, ambitious, and supportive colleagues. We embrace curiosity, thrive on change, and continuously explore better ways of doing things.

With more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.

ING Bank Romania is the only bank in the local top 10 that has achieved its position through organic growth, without acquiring portfolios or other banks. We serve over 1.9 million clients across Retail, SME & Mid-Corporate, and Wholesale Banking.

Join us!

How to Apply

Click “Apply” on our careers site and submit your application through Workday.

We’re excited to meet you!

Discover ING Bank Romania

ING believes in a world where everyone should have the freedom to grow in their own way - our global tagline, “do your thing”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues, and the organization.

Working here means being surrounded by energetic, ambitious, and supportive colleagues. We embrace curiosity, thrive on change, and continuously explore better ways of doing things.

With more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.

Join us!

Apply now

Questions? Just ask ING Recruitment team

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Data Engineer | Analytics

Job Description, Responsibilities & Requirements