Big Data Engineer (junior/mid)

Qualifications

• Proven big data experience, either from an implementation or a data science perspective
• Knowledge of big data technologies: Spark, Hadoop, Elasticsearch
• Knowledge of functional programming
• Knowledge of relational and non‑relational databases
• Experience in an Agile environment
• Good understanding of customer needs and ability to translate them into highly effective technical solutions
• Knowledge of how to determine work breakdown and tasking, resolve technical issues, and understand technical architectures
• Knowledge of Object‑Oriented programming languages such as Java or C# (preferred)
• Good understanding of software development best practices (clean code, version control, testing, code reviews, CI/CD)

Additional Qualifications

• Coding background in Scala
• Automation and optimisation mindset
• Good communication and presentation skills
• Facilitation and problem‑solving skills
• Proactive attitude, continuously improving work processes
• Experience building data processing pipelines for production, including ETL or analytics pipelines

Responsibilities

• Deal with internal and external stakeholders
• Manage, transform, and cleanse high‑volume data
• Help customers solve business problems in fraud, compliance, and financial crime
• Participate in regular team sprints and Scrum meetings with the projects team
• Collaborate closely with Business Analysts, Technical Leads, Project Managers, and Solutions Architects to deliver high‑quality service

Team and Domain

As part of the ING Tech Domain, the Group Services mission is to support and empower ING through innovative, scalable technology solutions. The role is within the Global Financial Crime & Fraud Prevention (GFCFP) domain, focusing on Anti‑Money Laundering, Counter Terrorism Financing, Fraud, Sanctions and their implementation across 40+ countries.

Tools and Platforms

• Spark, Hadoop, Scala, Data Fusion, Elasticsearch
• Primary language: Scala

Salary

8,000 – 15,000 PLN gross monthly