Data Platform Engineer in Amsterdam

ING is looking for a passionate Data Platform 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, live by the Agile manifesto while keeping the  continuity, compliance and QA measures, committed to deliver stable and secure services to end users with  'no nonsense' getting-things done mentality, please read on!
 
As a Data Platform Engineer at ING you will be able to influence the architecture and infrastructure design and operations of a global data analytics platform DAP that enables the organization to use data in an efficient and secure manner. This involves the building and maintaining components that allows the consumers of the platform perform data exploration, experimentation and model deployment.
 
 A day in the life of a Data Platform Engineer
As a Data Platform Engineer you are a very crucial part of the team. Without your work, the platform is stagnant. You build components of the platform that enables the users to build scalable pipelines, deploy models in production, perform data discovery and metadata management. You are the one that is always finding new and innovative ways to improve storage performance, resource management for data processing frameworks. CEO’s rely on you to ensure that the entire organization has a secure and scalable data platform at their disposal. Other products are praising you for all the time you save that would have been required to build and maintain a secure infrastructure to host and process data.
 
When you arrive at work and finish your morning coffee, you sit with your team to understand what new features make the lives of the platform users easier. You brainstorm ideas on how to create airflow as a service so several product teams can orchestrate their workflows in a standardized way.
You talk to other business users about what kind of additional features would help them in the secure development environment provided within the platform.After a lunch break with colleagues you think of a new way to improve resource provisioning for the applications running in kubernetes. As a platform engineer at WBAA, you will never get bored with many experienced and skilled engineers around you, the freedom to innovate and to not only use open source tooling, but also contribute and teach about them.
 
What department?
ING Analytics Wholesale Banking team is a team of 150 people (and growing rapidly) that has the mission to make  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.
 
Job description
Your passion is to work with the latest and greatest open source technologies required to build and maintain a high quality Data Engineering Platform. You will work as an engineer on different projects within the Wholesale Banking Advanced Analytics team. With this team, you will be building new capabilities for WBAA on the Platform Engineering part. You will help to launch new initiatives within ING and support teams and their projects within ING. At WBAA we always work with agile techniques.
 
Our Stack
Within the Wholesale banking Advanced Analytics team we use (amongst others) the following technologies and frameworks:
 
Execution:
Docker / Kubernetes / Openshift
 
Processing:
Apache Spark
Presto/Trino
Apache Airflow
 
Storage:
S3 (Object storage)
HDFS
Apache Kafka
PostgreSQL, SQL Server and other RDBMS
Elasticsearch
Apache Cassandra (and other noSQL DBs)
Apache Avro, Parquet and other file formats
 
Programming:
Python
JVM based languages (Java/Scala)
JavaScript
Go
 
Data Security and Governance:
Apache Atlas
Amundsen (LF)
Data Visualization:
Apache Superset

Do you recognize yourself performing following day-to-day activities:

• As part of the data platform engineering team, design, implement and improve our big-data infrastructure (on premise and in the cloud, Google Cloud Platform).

• You’re passionate about balancing scale and performance with a pragmatic approach and devising highly automated solutions to guarantee the encouraged level of reliability, performance and quality in multiple environments

• Building data-related generic tools within the area of data discovery, lineage and governance that will be consumed by platform users

• Closely work with other data engineers to expand existing large-scale data systems or implementing new ones to support evolving data models, analytical products, multi-sourced data analysis, reporting capabilities and production machine learning algorithms along with data scientists

• Deliver high-quality code and solutions, alongside Site Reliability Engineers, to improve data delivery, fault-tolerance and seamlessly integrate with the production platform running our customer-facing products

• End-to-end responsibility on running the data platform, alongside data and SRE teams, monitoring key metrics around availability, performance and data delivery. Drive incidents resolution and root cause investigation within postmortems establishing a culture of collaboration between teams

• Focus on delivering fully automated, tested and self-healing systems. Engage in capacity planning and explore solutions to increase the efficiency of the platform using the opportunities of the open source technologies

Do you have the following skills:

• 4+ years of hands-on experience in delivering highly distributed, large scale (data) platforms preferably using open-source technologies

• Programming in scripting languages, e.g. Python

• Programming in a statically typed language, e.g. JVM (Java/Scala/Kotlin), Golang

• Strong experience with SQL/NoSQL datastores (Hive, Cassandra), and other distributed systems (Spark, Kafka, HDFS…)

• Containerization - orchestration/deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD

• Experience with Implementing continuous delivery and deployment solutions (Gitlab, Azure DevOps)

• Bash scripting

 
Nice to have the following skills:

• Experience in working on cloud/hybrid solutions

• Security, authentication and authorisation (LDAP / Kerberos / PAM / IAM)

• You have experience with applications configuration management (Helm Charts, Terraform)

• Experience in designing, building, scaling and monitoring data infrastructure

• Maintaining hosted Jupyter/Zeppelin environments

• Experience in working with/contributing to Open-Source projects

• Affinity with Advanced Analytics, Data Science

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.

• A competitive salary

• A family friendly package

• Working with highly skilled people

• Working in an area which is of great importance to the strategy of ING

• An International atmosphere

• A full time position (40 hours per week)

• Great training and education opportunities

About us

With around 52,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to make a difference. We hire smart people like you for your potential, not your past. Our biggest expectation is that you’ll stay curious. Keep learning. Take on more responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. If you want to work at the cutting edge of what’s possible, surrounded by progressive, inspiring and supportive colleagues, there is no better place to invest your talents than at ING. Join us!

Are you keen to know more or apply?

For further inquiries, please contact Rahina Gaffar, Business Manager Wholesale Banking Advanced Analytics, .

We are looking forward to getting to know you!