Lead Data Engineer (AWS, Kafka, Python, SQL) – London – FinTech

  • £85000 + Share Options
  • Londres, Angleterre, Royaume-Uni
  • CDI, Plein-temps
  • Harrington Starr
  • 28 avr. 17

An exciting FinTech analytic company that is changing the face of the trading industry with its high performing models and efficiency in maximising real-time data and geo-spatial data are seeking a Lead Data Engineer. This organization have already started building something incredible and with a team of amazing data scientists, UX/UI and back-end developers, they are keen to find a passionate data engineer to take control of all aspects from data acquisition, optimization and distribution.

Lead Data Engineer (AWS, Kafka, Python, SQL) – London – FinTech

FinTech Analytics – London

Salary: Up to £85,000 + Share Options + Benefits

Data Engineer, AWS, Kafka, Python, Java, SQL, MySQL, NoSQL, ElasticSearch, Hadoop, Real- time Data, Geo-Spatial Data, Numpy, Pandas, Cassandra, API, Data Mining

An exciting FinTech analytic company that is changing the face of the trading industry with its high performing models and efficiency in maximising real-time data and geo-spatial data are seeking a Lead Data Engineer. This organization have already started building something incredible and with a team of amazing data scientists, UX/UI and back-end developers, they are keen to find a passionate data engineer to take control of all aspects from data acquisition, optimization and distribution.

Within this role you will be constantly challenged, but given ownership from day one. You will have varied tasks, but your main priority will be owning the data. You will need to be skilled in AWS, Python, Kafka, SQL and ElasticSearch and have commercial experience with working with real-time data and acquisition of data from multiple sources. You will be working with geo-spatial data sets that will enable the data models being built to be highly efficient in predicting the financial markets.

Key requirements within this Lead Data Engineer role are as follows:

  • 5 years commercial experience as a Data Engineer
  • Solid experience with AWS
  • Commercial experience with Kafka
  • A highly numerate data engineer with skills in Python or Java development
  • Experience in working with real-time data-sets
  • An understanding of machine learning models – Advantageous
  • A hunger for constantly improving and maximizing data efficiency

This is an opportunity to join one of the most innovative FinTech companies who are building a ground-breaking platform. This is your chance to join a great team with great career incentives that will have immense rewards. If you are a skilled data engineer and interested, please apply fast.

For more information, please contact Jon Kay @ Harrington Starr.