Franklin Bates
Data Engineer
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Contract Data Engineer
Location: UK Remote (WFH)
Contract Length: Up to 6 Months
Rate: c£475/day
Help Build a Modern Data Platform from the Ground Up
We're partnering with an innovative technology organisation embarking on an exciting greenfield programme and are looking for an experienced Data Engineer to play a key role in designing and delivering a scalable, cloud-based data platform.
This is an opportunity to work on a project from day one, helping shape the data architecture, engineering standards, and technical direction. If you enjoy solving complex data challenges, building robust pipelines, and creating platforms that enable better business decisions, we'd love to hear from you.
The Role
As a Data Engineer, you'll be responsible for designing, building, and optimising data solutions that support a modern cloud platform. Working closely with software engineers, product teams, and business stakeholders, you'll develop efficient data pipelines and ensure high-quality, accessible data across the organisation.
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You'll have the opportunity to influence architecture, recommend best practices, and contribute to the long-term evolution of a brand-new platform.
What You'll Be Doing
- Designing and developing scalable data solutions using SQL and Azure technologies
- Building and maintaining robust ETL processes and data pipelines
- Developing and optimising PostgreSQL databases
- Working with engineering teams to integrate data across multiple applications
- Improving data quality, performance, and reliability
- Writing clean, maintainable, and well-documented SQL code
- Collaborating within an Agile delivery environment
- Helping define best practices for a modern cloud-based data platform
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Skills & Experience
We're looking for professionals with strong commercial experience in:
- SQL
- ETL development
- Microsoft Azure
- PostgreSQL
- Data modelling and database design
- Performance tuning and query optimisation
- Building scalable cloud-based data solutions
- Agile delivery environments
Experience with Azure Data Factory, Azure SQL, Synapse Analytics, data warehousing, or modern DevOps practices would be advantageous but isn't essential.
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