|Lead Data Engineer|
|Tech and Engineering|
|Why is our Data Engineering team the next step for you?
Worldpay puts data at the heart of our business and our Data Engineering team are in the thick of it, building disruptive technology for the highly competitive payments industry. Working with over 400,000 merchants and there consumers we’re working with a range of needs and large-scala data, giving us the complex challenge to create powerful analytic capabilities for Worldpay and our customers.
Next on the list is to utilise our Enterprise Data Platform to augment our existing and build on new products. The team are working on real time decision making using spark and machine learning currently for Cloud and streaming analytics. You’ll have the opportunity to use your excellent communication and coding skills to work with us in a fast-paced environment to design and build on this technology globally.
How will you add value on a day-to-day basis?
As Lead engineer you’ll champion software quality, agile best practice and continuous delivery to produce high quality, maintainable and supportable code for the Enterprise Data Platform. While defining and actively contributing to EDP Key Design Decision processes and definition of procedures focussing on Data Engineering.
You’ll be hands-on in development and delivery across a broad mix of languages and technologies, writing data pipelines written in Spark/Scala and collecting data from Kafka and delivering to Hive or Hbase. With effective prioritisation skills in order to be productive in our highly dynamic environment and willingness to learn the many tools & frameworks within the HortonWorks Data Platform.
What will make you the ideal candidate?
We’re looking for a Lead Data Engineer with software engineering expertise to not only build pipelines and move data but build the next generation of tooling to take real advantage of the rich data available. A habit of thorough testing practice and the ability to develop reliable, maintainable and efficient code in Scala, Java, SQL and Linux shell. Data loading, either scripting or using ETL technologies. All in an environment using strict source-code control and release procedures.
If you have the skills and experience, this is a great opportunity to expand on your skills working with Kafka, Spark, Solr and associated BigData Technologies (Hadoop, Apache Stack) at scale in an innovative and passionate environment.
How is Worldpay changing the world?
Worldpay has merged with Vantiv Inc. to create a new global leader in payments. The new Worldpay will have the scale, the reach and the resources to take our success story to another level. This move allows us to expand further into high growth markets, deliver innovation at scale and above all, brings together exceptional talent and a shared passion that will help propel us forward to the next chapter of our collective story.
Our technology enables billions of payments to be made each year whether online or in person. Working with customers large and small we help them to take payments quickly, safely and reliably, allowing them to grow their businesses and making your life more convenient in the process.
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