Data Pipeline Engineer @ ING Tech
3 months ago
  • Domain IT Software
  • Availability Full-time
  • Experience Mid Level
  • Type of contract Indeterminate term
  • Location Bucuresti
  • Salary To be determined

Discover ING Tech

ING Tech is an international hub for technology & innovation, developing IT solutions across ING in areas such as Core Banking, Big Data, Financial Markets, Data Management, Touch Point Architecture and many more. By using the latest methodologies in software development, our fast-growing team gathers more than 800 tech enthusiasts who work for international projects that go beyond traditional banking.

ING is looking for a passionate Data Pipeline Engineer

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on!

As a Data Pipeline Engineer you will take responsibility in making sure that data flows from the various source systems in ING to the Data Analytics Platform. This includes having data hop over several systems and will include multiple tech stacks tow work with.

You will work with the larger organization, engage tech teams and stakeholders across many countries with regards to data and be part of a small team of developers and business analysts.

A day in the life of a Data Pipeline Engineer

As a Data Pipeline Engineer, you’re building the data roads that lead to the Data Analytics Platform, this is needed so that ING can combine all the data it has at its disposal into one powerful asset on which analytics can be performed. How will you create the pipelines that are the vital fuel needed for data scientists and data engineers to be successful at their work? The entire company is looking at you for the ways in which it can become truly data led…

That’s why you wake up to go to work. After your morning coffee you attend the daily standup with your team of experts where you update each other on the amazing things you’ve been able to do yesterday and say what important things you’ll accomplish today. After that you head to a meeting with the Product Owner and to see which are next features that are prioritized for the upcoming sprints, and start deep diving into the functionalities that the team needs to develop. You now identify the data sources that are involved, and the fun begins. You start with Dutch Payment Transactions. Is the data available in the Data Lake? Perfect! You can build the first part of the pipeline that transfers this massive amount of data to the staging are of the Data Analytics Platform. After lunch you sit down with the business analyst to think about what the best strategy will be to combine this dataset with the one that you worked on last week. The rest of your afternoon you spend by putting together all that is needed and how to achieve that so that we have the Dutch Payment Transactions available on the platform. You keep being amazed by the excellent people around you…  

What department?

The Wholesale Banking Advanced Analytics team is a team of 100 people that has the mission to make Wholesale Banking in ING data driven. We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organization. We work in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects. You’ll be part of the Data Liberation squad within WBAA, which is without a doubt the best part!

Job description

Do you get excited about working with massive amounts of various data? Are you excited to work with a lot of different technologies? Some at the cutting edge of what the industry uses? What it would mean to do have to efficiently transfer billions of rows of data every day? Would you like to work with people who all want to be the best in their fields? Search no further, if you answered all of the previous with yes, you want to work at in Data Liberation at Wholesale Banking Advanced Analytics (WBAA)!

  • You want to work with a wide variety of tech stacks when it comes to data
  • You have a drive to make your pipelines as efficient as possible
  • Work with tech teams accross the many countries ING operates in
  • Thrive in a team where knowledge sharing and wanting to be the best in your field are key;

Do you recognize yourself in this profile:

  • Experience writing (complex) data pipelines
  • Skills in Python, a bonus is Airflow experience
  • Skills in IBM Data Stage
  • Skills in Apache Spark in either Python or Scala
  • Experience with extracting data from different type of databases
  • Experience using Docker/Kubernetes
  • You are comfortable working in in an international context, within virtual teams and can interact easily with international stakeholders;
  • You are “MVP” (Minimal Valuable Product) driven, making continuous impact in a complex environment.

What do we offer?

Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. You will become a member of the Wholesale Banking Advanced Analytics team, a prestigious, no-nonsense and high-output data-science team. Diva behavior is not tolerated, neither is underperformance. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition, we offer:

  • Fun!
  • Working with highly skilled people
  • Working in an area which is of great importance to the strategy of ING
  • A relaxed and fun team
  • An International atmosphere
  • Great training and education opportunities

Are you keen to know more or apply?

We are looking forward to getting to know you!

  • Honesty
  • Prudent
  • Responsability
  • Training programs
  • Work from home
  • Well-being programs
  • Discount for Company Products
  • Awesome coffee
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