ING Bank
Financial Services
DataEngineer|Analytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer | Analytics at ING Bank. Skills: Data Engineering, Analytics, Data Solutions. Design data solutions. Build data solutions”
What You'll Achieve.
Ensure data accuracy; Ensure data performance; Ensure data resilience; Meet established SLAs; Meet quality standards
Industry & Context.
Identify gaps; Recommend optimal solutions; Troubleshoot data workflows; Manage complexity; Synthesize large datasets
What They're Looking For.
Must Have
1-3 years experience as Data Engineer, Bachelor's degree in IT, Computer Science, Cybernetics, Automation or related technical field, Basic understanding of data modeling, Basic understanding of database design, Basic understanding of database administration, Basic understanding of database performance optimization, Practical experience with Windows environments, Practical experience with Linux environments, Automation experience, Monitoring experience, Troubleshooting experience, Basic understanding of networking concepts, Basic understanding of security concepts, Data-driven mindset, Digital fluency, Attention to data quality, Attention to data reliability, Attention to data governance, Clear communication skills, Ability to build structured processes, Ability to build reusable processes, Work in disciplined way, Work in production-oriented way, Team-oriented attitude, Curiosity to learn new technologies, Confidence to make decisions, Ability to manage complexity, Ability to synthesize large datasets, Delivery mindset, Ownership from development to production, Customer-centric approach, English proficiency above medium level
Nice to Have
Experience in analytics-driven environments, Experience in data-intensive environments, Spark exposure, PySpark exposure, SAS exposure
What You'll Do.
Design data solutions
Maintain data solutions
Ensure secure data flows
Ensure efficient data flows
Ensure scalable data flows
Bring clarity to data ecosystems
Enable seamless analytics
Enable decision-making
Transform business requirements
Ensure data architecture resilience
Ensure data architecture compliance
Ensure data architecture future-readiness
Evaluate data sources
Recommend optimal solutions
Analyze data processes
Optimize data processes
Script for maintenance
Script for monitoring
Script for performance tuning
Apply database design expertise
Apply database administration expertise
Apply database optimization expertise
Use operating systems knowledge
Automate data workflows
Maintain data workflows
Troubleshoot data workflows
Leverage networking concepts
Enable secure data transfers
Enable efficient data transfers
Work with complex data elements
Work with data dependencies
Support scalable data model development
Create reusable scripts
Create reusable data flows
Create reusable methodologies
Improve analytics speed
Improve analytics reliability
Document data pipelines
Document data processes
Document technical decisions
Manage recurring data processing flows
Ensure quality standards
Recommend application software improvements
Recommend infrastructure improvements
Act as technical contact
Ensure system resilience
Ensure system security
Ensure system compliance
Develop data privacy procedures
Maintain data privacy procedures
Develop security procedures
Maintain security procedures
Adhere to ethical standards
How You'll Work.
Team & Collaboration
Collaborative multidisciplinary environment; Collaborate with Data Analysts; Collaborate with Data Scientists; Collaborate with IT partners; Collaborate with cross-functional teams
Communication Scope
Clear communication skills; Technical documentation; Cross-team collaboration
Process & Methodology
Agile environment, Agile setup
Full Job Description
**Mission** As a **Data 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 the **Analytics Centre of Expertise** within the **Customer Interactions 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 ensurin
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