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Data Engineer

London

Data Engineer

London (hybrid working)

£up to £68,000

A leading financial organisation based in London is currently looking to recruit a Data Engineer to join a growing machine learning team ideally with a strong track record of data modelling, developing, and delivering large scale data transformation project aligned with the overarching Data Strategy. The successful data engineer will define, develop, and deliver data transformations that not only drives our Machine learning models but create more strategic transformation that delivers consistent data across the organisation for the various business needs.

Key responsibilities

Delivering data transformation based on the overarching data strategy

Design, development and maintenance of Data transformation pipelines aligning with Data Strategy.

Test driven development, clean code and documentation

Delivering on agreed service levels, which you'll agree with your manager - and your contribution to our commitments

Working with business stakeholders and project team to identify ML and IA opportunities, and understand and capture business requirements

Providing quality assurance on machine learning code developed by other team members

You'll be working with architects, product owners and business analysts and contributing to the requirement definition, solution design and architectural designs.

You'll also be involved in sprint planning by defining and owning the machine learning backlog as well as providing estimates for your work.

Minimum Criteria

Solid programming experience in Python (Pandas), SQL, NoSQL - TDD

Previous experience in building large scale data transformation from structured, un-structured and streaming data sources using Python, SQL

Experience in any of Azure Data Factory Azure Event Grid

Developing serverless pipelines in any of Azure

Understanding API based development (e.g. REST APIs) to integrate with different systems

Building and maintaining CI/CD pipeline in Azure Devops

Working in an agile development environment with the ability to communicate technical concepts and analytical outputs to a diverse set of stakeholders.

Being able to provide estimates against organisational requirements relating to cost and development tasks

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