Big Data Engineer (Python/Spark) - Growing Financial Services
Python / Spark / Kafka / Samza / Flume / Pyspark / Data Engineer / Big Data Engineer / Data Developer / Big Data Developer / Pyspark Data Engineer / Streaming Engineer / Data Streaming / Real - time
My client is a rapidly growing start up based in Central London. They use cutting edge technology to address the challenges facing institutions trading in today's financial economy. Their clients are principally tier one investment banks. The successful candidate will join a small team of highly skilled engineers and data scientists working on a highly innovative and award winning FinTech product.
They are currently looking for a Data Streaming Engineer to join their team.
Required for the role:
Strong experience of building Spark-based solutions, or any other Data Streaming technology eg Kafka, Samza, Flume, Storm, Beam (2+ years)Experience of Python-based Spark applicationsA solid understanding of Python (operator overloading, asyncio)4+ years of hands-on development experienceExperience of real time streaming
Some of the responsibilities for the role will include:
Work with the data science team to create machine learning pipeline infrastructure to mine massive datasets in an agile fashionTake ownership of current (basic, Python-based) infrastructure for running quant codeReplace it with a robust, scalable solution based on PySpark
This company are especially renowned for supporting their employee's personal and professional growth. This includes support of professional and educational exams and study that may be ongoing.
Interviews are looking to be lined up from Monday 14th May.
If this role sounds of interest to you, please do not hesitate to apply by sending your most up to date CV to or alternatively apply via this advert.
Please note that this role isn't able to provide visa sponsorship so you will need to have the right to work in the UK.
This job was originally posted as www.totaljobs.com/job/81388880