The Role

This is highly transactional environment inside the business, growing a Data Services Science practice from the ground up. You will have the opportunity to use modern technologies and to work with a cutting-edge data engineering platform.

What you will bring…

  • Knowledge of leading cloud platforms; GCP or AWS would be an excellent addition to your skills
  • Experience of Data Warehousing and ETL technologies and Data Quality
  • Strong expertise with Google Cloud and Azure and related technology
  • The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying irregularities and linkages across disparate data sets.
  • Meaningful experience in Distributed Processing (Spark, Hadoop, Hive/Impala, EMR, etc).
  • Deep understanding of Information Security principles to ensure compliant handling and management of client data.
  • Experience working collaboratively in a close-knit team and in clearly communicating complex solutions.
  • Golang ,Python, T-SQL, MongoDB, Scala development skills would be beneficial.
  • Experience and interest in cloud infrastructure (Google Platform, AWS, Databricks, Data Lake) and containerization (Kubernetes, Docker, etc).
  • Worked in an Agile team producing frequent deliverables.
  • Advance programming skills in at least one language (Go/Python/Scala/Java).
  • Cloud based Datawarehouse Services like AWS RedShift, Google BigQuery or equivalent.

It would also be great if you had experience with…

  • Golang Programming
  • Data Modelling
  • Data pipeline
  • GKE
  • Airflow
  • Pub/Sub
  • Terraform
  • Cloud Build
  • DataProc
  • Eventstore
Job Category: Development
Job Type: Full Time
Job Location: London

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