Data Engineer for PaymentIQ

Worldline Published: August 30, 2022
Location
Alphen aan den Rijn, Netherlands
Job Type

Description

The opportunity

We are looking for a highly skilled Data Engineer to join our agile team. 

In this role, you will work with the outstanding and flexible PaymentIQ engine which processes more than 1M transactions a day, and as an application, currently, it works with the MySQL database, for ETL solution uses Debezium and Kafka, and the analytics solution using Kibana and Elasticsearch.

The new product development roadmap indicates an opportunity for new data and analytics landscape, where we are open to new architecture and technologies to bring our customers to a new level of data experiences.

If you are seeking an exciting role in a fast pace environment where we provide payment solutions from all around the world, meeting the highest requirements on availability, performance, security, and flexibility, come join us!

The team

You will be working with an outstanding tech team of 15 members. 

Working in our team, you will experience both operational freedom and the spirit of a startup while being at the same time part of a bigger organization.

Day-to-Day Responsibilities

As our main data expert, you will have the chance to make decisions and draw up the blueprint for a future-proof data platform.

The data engineer role in the PaymentIQ team will lead all aspects of architecting, building, testing, and maintaining the data platform as a whole, with a focus on the following tasks :

On the short term:

  • Review and update the current ETL / Analytics solution, develop, and maintain a streamlined data pipeline infrastructure and architecture.
  • Optimize the current MySQL application database, build, and implement a sustainable maintenance plan for it, including but not limited to performance optimization, data archiving, partitioning, backup, and recovery.

On the long term:

  • Optimize and improve the performance of data pipelines, Create, and maintain efficient realtime data processing, and batch data processing solutions.
  • Improve the functionality and data availability in the analytics solution. Build more structural and user profile-based analytical and reporting portal for both internal and external users.

Skills we cannot do without:

  • You have Proven experience in DataOps, Data Engineering, Database Administration, and DevOps.
  • You are proficient in debugging and reverse engineering distributed systems
  • You have worked previously with AWS for minimum 3 years
  • You have hands-on experience with MySQL, Kafka (+Sinks and Connectors), Elasticsearch, and Kibana.
  • You have work experience with Java (Spring Boot), Go, or Bash.
  • Experience with schedulers / batch managers (flyte.org) and orchestrators in K8s

Skills we'd like :

  • hands-on containers and orchestrators (Docker, K8S)
  • You have a professional approach, being constructive and finding solutions in the best interest of the business.
  • Strong interpersonal skills, with the ability to connect with both technical and non-technical staff.

Grow with us, create tomorrow More reasons to join us

At Worldline, we are dedicated to helping our people unlock their full potential - both professionally and personally. 

With comprehensive training and development programs, expert communities, and global mobility programs, you will always be able to develop and grow at Worldline - wherever you want to go and whatever you want to do.

We also offer flexible hours and remote working, to empower you to be your best self at work and at home. 8 in 10 Worldliners consider Worldline a friendly place to work, and 9 in 10 are satisfied with the training & development they receive.

Worldline is proud to be an Equal Opportunity employer. 

We do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.

Learn more about life at Worldline on careers.worldline.com

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