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Join ING as a Big Data Engineer and build state‑of‑the‑art fraud prevention solutions.
Work with Spark, Hadoop, Scala and big data pipelines in a hybrid environment.
Big Data Engineer (junior/mid)
We are looking for you if you have:
- Proven big data experience, either from an implementation or a data science prospective,
- Knowledge of big data technologies (Spark, Hadoop, Elasticsearch),
- Knowledge of functional programming,
- Knowledge of relational and non‑relational databases,
- Experience in working in an Agile environment,
- Good understanding of customer needs and ability to translate them into highly‑effective technical solutions,
- Knowledge how to determine work breakdown and tasking, resolve technical issues, understand technical architectures.
You’ll get extra points for:
- Coding background in Scala,
- Automation and optimisation mindset,
- Good Communications and Presentations skills,
- Facilitation and problem‑solving skills,
- Proactive attitude, always on the look‑out for improving your and our way of working.
Your responsibilities:
- Dealing with both internal and external stakeholders,
- Managing, transforming and cleansing high volume data, helping our customers solve business problems in the area of fraud, compliance and financial crime,
- Having regular team sprints and Scrum meetings with your Projects team,
- Working closely with Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our customer expectations and delivering a first‑class service.
Information about team:
As part of the ING Tech Domain, the mission of Group Services is to support and empower the ING organization to accomplish its goals and ambitions by improving our operational excellence, customer experience and efficiency through the delivery of innovative, stable and scalable technology solutions.
As part of the Global Financial Crime & fraud Prevention(GFCFP) domain, you will be involved with the development of state‑of‑the‑art solutions on relevant topics such as Anti‑Money Laundering, Counter Terrorism Financing, Fraud, Sanctions and their global implementation across 40+ countries, affecting 36 million ING customers.
Tools and training
You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch. Our primary language is written in Scala, but don’t worry If that’s not your strongest language or if you haven’t used it before, we make sure that every Quantexa goes through our training academy so they’re comfortable and confident with using our platform.
Salary
The expected salary for this position: 8 000 - 15 000 PLN gross monthly
Legal Note
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.