Big Data Engineer (mid/senior)

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
10K-18K Annually
Senior level
Fintech • Payments • Financial Services
The Role
Build and maintain big data solutions for fraud, compliance, and financial crime use cases. Manage, transform, and cleanse high-volume data using Spark, Hadoop, Scala, Data Fusion, and Elasticsearch. Collaborate with stakeholders, analysts, technical leads, project managers, and architects in an Agile Scrum environment to deliver scalable technical solutions and production data pipelines.
Summary Generated by Built In

ING Hubs Poland is hiring!


The expected salary for this position: 9 600 - 18 000 PLN gross monthly


The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for you if you have:

  • 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 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,
  • Knowledge of other Object‑Oriented Programming languages, such as Java or C#, is preferred,
  • Good understanding of software development best practices (e.g. clean code, version control, testing, code reviews, CI/CD).

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,
  • Experience of building data processing pipelines for use in production “hands off” batch systems, including either traditional ETL pipelines and/or analytics pipelines.

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.


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.

The role naming convention in the global ING job architecture will be “Engineer II" or "Engineer III".

Skills Required

  • Proven big data experience from implementation or data science
  • Knowledge of Spark, Hadoop, and Elasticsearch
  • Knowledge of functional programming
  • Knowledge of relational and non-relational databases
  • Experience working in an Agile environment
  • Ability to understand customer needs and translate them into effective technical solutions
  • Ability to determine work breakdown and tasking, resolve technical issues, and understand technical architectures
  • Knowledge of object-oriented programming languages such as Java or C#
  • Understanding of software development best practices, including clean code, version control, testing, code reviews, and CI/CD
  • Coding background in Scala
  • Automation and optimization mindset
  • Good communication and presentation skills
  • Facilitation and problem-solving skills
  • Proactive attitude toward improving ways of working
  • Experience building production data processing pipelines, including ETL or analytics pipelines
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The Company
HQ: Amsterdam
65,710 Employees

What We Do

ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers

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