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Principal Engineer (Remote in the UK or USA) How can Big Data be used to revolutionise the financial sector? Have you reached the top of your present organisation? We want a Data Engineer to join a multinational organisation with an international technology team that seeks to solve unsolved fin-tech problems worldwide. This Data Engineer will use cutting-edge technology to further develop and deploy their Data platform and pipelines, utilising vast quantities of real-time data. This Data Engineer will collaborate with their Engineering team and other Data Science professionals. You will utilise your previous development and design expertise to construct this experimental platform. This company provides Engineers with opportunity to advance technically or into leadership roles, as well as daily autonomy. As a Data Engineer, you must have familiarity with Python and Data Warehousing, in addition to API Integrations (a nice to have would also be GCP - but not essential). You will be a team player and able to operate in an environment that pushes the boundaries of this constantly growing sector. You are eligible for - Senior Data Technician: Highly competitive remuneration Completely remote work The capacity to assume responsibility for one's work. Rapidly advance in your career Important Words: Data Engineer; Data Engineer, Data Scientist, Python, Scala, Golang, Kube, Kubernetes, Go, Programmer, Software Developer, ETL, SQL, Apache Airflow, AWS, GCP, Azure, Data Lakes, Development, Spark/PySpark, Pandas, Docker, Presto, Druid, CI, CD, Pipelines, Flexible, Autonomy, Experimental, Voice, API, Data Warehousing, Clickhouse, DBT, singer.
Principal Engineer (Remote in the UK or USA) How can Big Data be used to revolutionise the financial sector? Have you reached the top of your present organisation? We want a Data Engineer to join a multinational organisation with an international technology team that seeks to solve unsolved fin-tech problems worldwide.
This Data Engineer will use cutting-edge technology to further develop and deploy their Data platform and pipelines, utilising vast quantities of real-time data.
This Data Engineer will collaborate with their Engineering team and other Data Science professionals.
You will utilise your previous development and design expertise to construct this experimental platform.
This company provides Engineers with opportunity to advance technically or into leadership roles, as well as daily autonomy.
As a Data Engineer, you must have familiarity with Python and Data Warehousing, in addition to API Integrations (a nice to have would also be GCP - but not essential).
You will be a team player and able to operate in an environment that pushes the boundaries of this constantly growing sector.
You are eligible for - Senior Data Technician:
Highly competitive remuneration Completely remote work The capacity to assume responsibility for one's work.
Rapidly advance in your career Important Words:
Data Engineer;
Data Engineer, Data Scientist, Python, Scala, Golang, Kube, Kubernetes, Go, Programmer, Software Developer, ETL, SQL, Apache Airflow, AWS, GCP, Azure, Data Lakes, Development, Spark/PySpark, Pandas, Docker, Presto, Druid, CI, CD, Pipelines, Flexible, Autonomy, Experimental, Voice, API, Data Warehousing, Clickhouse, DBT, singer.
