SC Cleared - Data Engineer Bucharest

SC Cleared - Data Engineer
Bucureşti
Bucharest, Bucharest, Romania

We are heading up a recruitment drive for a global consultancy that require Data Engineers of varying experience to join them on a major Public Sector project that's based in London.

Job Title - Data Engineer

Day Rate - £. 50 - £. 50

Location - London

i
R35 determination - Inside

Duration - 6 months

What a Lead Data Engineer does A lead data engineer is responsible for the design and implementation of numerous complex data flows to connect operational systems, data for analytics and BI systems.



. Plans and drives the development of data engineering solutions ensuring that solutions balance functional and
- functional requirements.

. Monitors application of data standards and architectures including security and compliance.

. Contributes to organisational policies, standards, and guidelines for data engineering.

What a Senior Data Engineer does A senior data engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and BI systems.



. Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.

. Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.

. Carries out complex data quality checking and remediation.

What a Data Engineer does A data engineer delivers the designs set by more senior members of the data engineering community.



. Designs and implements data pipelines and data stores to acquire and prepare data.

. Applies data engineering standards and tools to create and maintain data pipelines and extract, transform and load data.

. Carries out routine data quality checks and remediation.

Cloud Infrastructure :

Azure, AWS

Data Storage and Management :

Azure Data Lake Storage, Postre
SQL

Data Processing and Analysis :

Databricks, Azure ML, Graph DB (Neo4j(

Data Visualization and Reporting :

Power
BI, Plotly, Javascript(React)

Data Integration and Pipelines :

Azure Data Factory, APIs