ING Bank

Financial Services

DataEngineer|Analytics

$72–96k ~AI est. Romania FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Financial Services
Problems you'll solve

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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