Financial Services

Data Engineer (Hadoop / Python / Spark)



Central London

Initial 9 month contract

£650-700 day rate


Data Engineer ( Hadoop / Python / Spark ) is required to join a leading consultancy on an initial 9 month contract.

You will be working on client site for a leading Financial firm, designing, coding and testing simple high-level items downwards.

As the Data Engineer ( Hadoop / Python / Spark ) you will communicate workload status, contribute back to the end client to ensure they receive the best return and will report on progress and escalate issues in a timely manner.

You must have experience in migrating workloads to Hadoop platforms (Hortonworks).


Essential skills for the Data Engineer ( Hadoop / Python / Spark ) include :

  • Current SC Clearance is essential in this role
  • Minimum 3 years knowledge of the Hadoop ecosystem and its entities (Hbase, Hive) (HDP Certified Developer)
  • Knowledge of Spark streaming
  • Python programming language knowledge
  • Hortonworks or cloudera knowledge
  • Knowledge of MapR
  • Presentable, approachable and professional with working on client site
  • Knowledge of Data Ingestion, Transformation and Analytics


Desirable skills for the Data Engineer ( Hadoop / Python / Spark ) include :

  • Knowledge of technologies such as SQL Server and Tableau would be beneficial
  • Previous role working for a consultancy would be beneficial, as would commercial experience working on customer site
  • Proactive approach to SDLC and Agile working


What’s in it for the Data Engineer ( Hadoop / Hortonworks / Cloudera ) ?

  • Working on client site for a leading bank with a great reputation
  • Working alongside some of the best engineers in the world


If you’d like to apply for the Data Engineer ( Hadoop / Python / Spark ) role, please click Apply using your most recent CV.