
Data Engineer | Analytics @ ING Bank
- Agile
- Data Architecture
- Windows
- Linux
- Python
- PySpark
- SQL
- SAS
- Pandas
- NoSQL
- Data Modeling
Mission
As aData Engineer, you design, build and maintain reliable data solutions that ensure secure, efficient and scalable data flows across the organization. You bring clarity to complex data ecosystems and contribute directly to ING’s data‑driven strategy by enabling seamless analytics, automation and decision‑making.
You work autonomously in an Agile environment, transforming business requirements into robust technical solutions and ensuring that ING’s data architecture remains resilient, compliant and future‑ready.
About the team
You’ll join theAnalytics Centre of Expertise within theGrowth Tribe, a collaborative, multidisciplinary environment bringing together Data Engineers, Data Analysts, Data Scientists and IT partners.
The team combines technical expertise with analytical thinking and a strong business understanding. We work in an open, Agile setup where curiosity, ownership and continuous learning drive our day‑to‑day work.
Your day to day
Your responsibilities include:
- 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 your expertise in database design, administration and optimisation to ensure accuracy, performance and resilience
- Using your 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
What you bring to the team
-  1-3 years of experience as a Data Engineer, ideally in analytics‑driven or data‑intensive environmentsÂ
- Hands‑on experience with Python for data processing, automation and scripting; exposure toSpark / PySpark is a strong plusÂ
- Solid experience working withSQLÂ for data extraction, transformation and analysis; exposure toSAS is a plus
- Experience deliveringdata pipelines and ML‑enabled use cases, using technologies such asSpark, Pandas and NoSQL / big data platformsÂ
- Bachelor’s degree in IT, Computer Science, Cybernetics, Automation or a related technical fieldÂ
- Basic understanding ofdata modeling, database design, administration and performance optimizationÂ
- Practical experience withWindows and/or Linux environments, including automation, monitoring and troubleshootingÂ
- Basic understanding ofnetworking and security concepts, to support secure and reliable data flowsÂ
- Adata‑driven mindset and strong digital fluency, with attention to data quality, reliability and governanceÂ
- Clear communication skills, able to collaborate effectively with Data Analysts, Data Scientists and IT partnersÂ
- Ability tobuild structured, reusable processes and work in a disciplined, production‑oriented wayÂ
- Team‑oriented attitude, curiosity to learn new technologies and the confidence to make decisionsÂ
- Ability tomanage complexity and synthesize large datasets into usable data productsÂ
- Strongdelivery mindset, with ownership from development to production and a customer‑centric approachÂ
- English proficiency – above medium level, for technical documentation and cross‑team collaboration
What 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
Job Application Safety Reminder
We’re seeing an increase in fraudulent job offers. To protect yourself, please:
- Apply only via official ING platforms (ING uses Workday for recruitment)
- Check that the sender’s email ends in@ing.com or@myworkday.com
- Remember: ING willnever request payments or banking details during recruitment
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.
ING Bank Romania is the only bank in the local top 10 that has achieved its position throughorganic growth, without acquiring portfolios or other banks. We serve over2.0 million clients across Retail, SME & Mid‑Corporate and Wholesale Banking.
Join us!
Data Engineer | Analytics @ ING Bank · ING Financial Services LLC