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category

Technology

location

N/A

salary

£50000 - £50000 Per Annum

contract type

permanent

The Opportunity:

The main task for the Data Engineer will be to expand and optimize our data and data pipeline architectures, as well as optimizing data flow and collection process across our product portfolio.

The Data Engineer will support our software developers, data architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

The Data Engineer will need to work closely with the Data / Solution Architects, Technical Product Owners and Delivery Managers to understand the key data requirements and processes and support the solution design and delivery.

The role will involve:
  • Creating and maintaining optimal data pipeline architectures.
  • Assemble data sets that meet functional / non-functional business requirements.
  • Undertake general database administration tasks and have an understanding of data modelling techniques.
  • Understand the impacts and implications of using platforms as a service (PaaS) data stores and their configurations.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud platforms.
  • Work with stakeholders including the Data / Solution Architects, Technical Product Owners, Delivery Managers and Development teams to assist with data-related technical issues and support their data infrastructure needs.
About You:

Self-directed and comfortable supporting the data needs of multiple teams, systems and products.
  • Proven experience in delivering information solutions in a high demand, highly secure environments 
  • Superior analytical & problem-solving skills 
  • Commercially astute 
  • Team player who is willing to share ideas
Core Tools & Technologies:
  • PowerBI
  • Tableau
  • SQL, SQL Server, PostgreSQL
  • AWS / Azure
  • Data pipeline and ETL Tools
  • Databricks
  • Data Factory
  • Scripting; Scala, Python, R
If this role sounds of interest, please feel free to apply or send your CV to Courtney Giles at: 

c.giles@reqiva.com
01189 595 552
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Antony Redmond

Director | Engineering

01189 595552
a.redmond@reqiva.com

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