Chapter Lead Platform Engineering Support in Amsterdam

Beschrijving

ING is regularly looking for Chapter Lead Platform Engineering Support . Are you interested to be included in the candidate pool of our future positions in this area? Please see the role description below and apply. We will contact you once the vacancy is open.

About ING

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, a strong financial position, omni-channel distribution strategy and international network. If you want to work at a place 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 delivering stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on! 

Job Description

As a Data/Platform Engineer you will be joining ING’s Advanced Analytics global organization and will partner with Data Scientists and Machine Learning Engineers in our centre of expertise to research, design and implement leading-edge algorithmic products. We are looking for a passionate, Senior-level, Data/Platform Engineer to help us in the domain of applied machine learning. By designing and testing practical use-cases for business, you help steer the team in creating value for our customers.

You will be part of the technology team, taking care of software and data engineering challenges associated with data science and machine learning. You will be involved in serving and deploying models and putting research into production. Through collaboration with architects, machine learning engineers and data scientists, you will take responsibility in making sure that data flows from the various source systems in ING to the Data Analytics production platform. You will be working on different types of data, both structured and unstructured. As a Data/Platform Engineer you will design data architecture for incoming projects. Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you are pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies.

You will be responsible for:

  • Building complex data pipelines for analytics software development
  • Managing and further developing distributed systems and clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)
  • Building tools to enable fast, reproducible, and organized experimentation by model developers
  • Working closely with data scientists to put their developments into production.
  • Setting up both SQL and noSQL databases
  • Deploying and provisioning automation tools such as Docker, Kubernetes, Openshift, CI/CD
  • Rapid prototyping of Artificial Intelligence solutions
  • Designing and justifying data architecture

About you

  • Always thinking a step ahead and never satisfied with the status quo
  • Enthusiasm for helping others to be successful and a drive for taking it on and making it happen
  • You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
  • You embrace challenges in a fast changing and complex environment;
  • You are a naturally collaborative person who listens and invests in others to achieve common goals
  • You have a Pro-active and can-do attitude (self-steering)

What department?

ING Analytics is an organisation responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organizations within the banking sector and beyond. The organisation consists of a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime & RegTech, Customer Intelligence, etc.) as well as strong coordination areas around people capabilities, technology, data, tooling, and external partnerships.

The Data, Tools & Technology team is one of the five core teams within ING Analytics Unit. It is responsible for driving overall strategy and roadmap for analytics platforms, technology and tooling,  industrialisation of analytics models and data roadmap for all the work streams, change management activities and their interdependencies

Do you recognize yourself in this profile?

Required:

  • At least Master Degree in AI / Machine Learning / Software Engineering / Computer Science
  • Experience with leading a team
  • Can build an “end-to-end software product” which deals with big data
  • A minimum of 5-7 years' experience as a data engineer
  • Strong programming skills in Scala (or another Functional Programming language) and Java. Experience with Python and SQL. Familiarity with the Akka framework is a strong plus
  • Excellent knowledge in working with Apache Spark in production environments
  • Demonstrable experience producing reusable code components and libraries leveraged by multiple projects
  • Strong skills in open source technology such as Apache ecosystem
  • Strong knowledge of data structures algorithm and problem-solving skills
  • Experience with various database technologies for example Cassandra , Redis, PostgreSQL, MongoDB, or Elastic
  • Experience with streaming technologies like Kafka and Flink
  • Experience with implementing CI/CD pipelines (e.g. Jenkins, Travis, Selenium, Nolio, Artifactory, Spinnaker)
  • Experience in setting up web-servers
  • Experience with industry-accepted testing tools and frameworks such as Selenium, TestNG, JUnit, and/or Cucumber
  • Experience with DevOps technology (such as Jenkins and Docker)
  • Experience with enterprise source code management (GitHub, RTC, etc.)

Nice to have:

  • PhD in AI / Machine Learning / Natural Language Processing / Software Engineering
  • Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, unsupervised learning, ranking systems or similar
  • Experience with Test Driven Development
  • Experience with CI/CD for Machine Learning pipeline (CD4ML)
  • Experience with Front end coding (preferably familiarity with Polymer)

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. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition we offer:

  • Fun!
  • A competitive salary
  • 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
  • A full time position (40 hour week)
  • Great training and education opportunities

Are you keen to know more or apply

If this is the sort of environment you thrive in, then apply and join us in changing the future of banking!

We look forward to getting to know you!

Extra informatie

Status
Open
Plaats
Amsterdam
Dienstverbanden
Fulltime (ervaren)
Gepubliceerd op
12-06-2020

Amsterdam | ICT / IT / Programmeur | Fulltime (ervaren)

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