Lead Software Engineering

Organisatie
ING
Locatie
Amsterdam
Opleidingsniveau
WO
Arbeidsvoorwaarden
Marktconform
Vakgebieden
Deze vacature is niet meer vacant

ING is looking for a passionate Chapter Lead Software Engineering

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 getting-things done mentality, please read on!

Job description

As a Chapter Lead Software Engineering you will play a key role in driving the success of Software Engineering within the Analytics Engineering team from ideation to the delivery of data-driven products and solutions that create a 10x impact for our end-user. You will be involved in all engineering projects and be responsible for maintaining very high quality software standards.

For 30% of your time you will have hands-on involvement. As a Software Engineer at Analytics Engineering, you will work in a cross-functional team which takes end-to-end ownership and responsibility and contributes in an Agile way to the full lifecycle of an application, from user research and implementation to running it in production .

Next to the hands on project related work, the rest of 70% of your time you will be responsible for an awesome group of Software Engineers from different technology backgrounds in your chapter from coaching and professional development to hiring and staffing. Furthermore, you will be responsible for promoting software engineering excellence within the organization.

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you’re proactive in keeping yourself up to date and are always searching for new ways to discover new technologies. You also enjoy laying the architectural foundations for the things you’re working on. You combine both thinking of the future and a hands on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.

You are in-depth familiar with any of the back-end programming languages like Python or Golang or Kotlin or are interested in learning the same as quickly as possible. Furthermore, you would like to grow into a full stack profile to help build the front-end of the applications, which are written in Javascript (React).

Your work environment

The Analytics Engineering team is a team of 125 people that has the mission to make Wholesale Banking in ING data driven. We do this by combining UX research and engineering 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. We have offices in Amsterdam (main office), London, Warsaw (currently building new teams here), Katowice (Data platform team) and Romania (IT Risk).

Our Stack
Within the Analytics Engineering team we use (amongst others) the following technologies and frameworks:

Execution:

  • Docker / Kubernetes / Openshift

Processing:

  • Apache Spark

  • Apache Flink

  • Apache Airflow

Storage:

  • Ceph (S3)

  • Apache Kafka

  • PostgreSQL

  • Apache Cassandra (and other noSQL DBs)

  • Apache Druid

  • Apache Avro

  • Apache Parquet

Programming:

  • Python

  • Golang

  • ReactJS

Data Security, Lineage & Discoverability:

  • Apache Atlas

  • Apache Ranger

  • Lyft/Amundsen

Chapter Lead Profile

  • You have at least 5 years of (global) work experience in the Software Engineering horizons (methods, technology, data)

  • You have a proven track record of developing, coaching and mentoring people from different technology backgrounds.

  • You have experience and love leading teams to drive results and interact with (senior level) stakeholders

  • You are able to explain complicated subjects clearly

  • You are friendly and approachable and are able to challenge software engineers

  • Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose

  • You are motivated to keep up to date with the latest developments and to introduce them to the team and projects where applicable

  • You are able to see where ING can create steps towards becoming a truly data driven bank.

  • You’re always thinking one step ahead, for example in advising about the best way of implementation.

  • You are a team player who strikes effective balance between independence and acting in the interest of the team

Do you recognize yourself in this profile:

Required:

  • Bachelor’s Degree in Software Engineering / AI / Computer Science.

  • Strong programming skills in Python, Golang or Kotlin.

  • 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 feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed.

  • Demonstrable experience producing reusable code components and libraries leveraged by multiple projects.

  • Solid understanding of DevOps practices including Git, CI/CD, monitoring.

  • Good understanding of test automation practices.

  • Strong understanding of container-based platforms and tooling including Docker. Familiarity with Kubernetes and/or OpenShift is a strong plus.

  • Strong knowledge of data structures, algorithms and problem-solving skills.

  • Fluent in written and spoken English.

  • Passion to work with and contribute to open-source technologies

Nice to have:

  • Familiarity with the Data Analytics/Data Engineering ecosystem.

  • Being a committer to Open-Source projects is a huge plus.

  • Knowledge of machine learning (preferred experience with real implementations), or at least strong affinity with it.

  • Good understanding of streaming technologies like Kafka and Flink.

  • Good understanding of databases including RDBMS, NoSQL and time-series databases.

  • Experience in building 0-downtime applications / components.

  • Experience with working in an agile/scrum way, but at least you should have a strong willingness to do so.

  • Experience with Javascript (preferably familiarity with React).

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 Analytics Engineering 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!

  • 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 hours week)

  • Great training and education opportunities

Are you keen to know more or apply?
For further inquiries, please contact Stanley Waccary, Swaccary@hetwerkstation.nl.

We are looking forward to getting to know you!

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

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