Data Engineer

5 days ago


Leeds, Leeds, United Kingdom Michael Page (UK) Full time

About Michael Page (UK)

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As a Data Engineer - ETL Specialist, you will have the opportunity to work on cutting-edge technologies and make a lasting impact. Our client is a government-owned organisation that provides infrastructure finance in partnership with the private sector and local government.

The estimated salary for this role is £65,000-£90,000 per annum.

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Job Description:

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We are seeking an experienced Data Engineer to join our team. In this role, you will design, build, support and develop our client's Golden Source data platform using Microsoft Fabric. You will also ingest data with shortcuts, pipelines or dataflows to support Power BI and AI analytical use cases.

You will establish both curated and semantic layers within the Golden Source data platform, aligned to company Data Architecture and using Microsoft Fabric capabilities.

In addition, you will actively contribute to all stages of the data platform lifecycle as required, including design, development, testing & delivery phases, in line with agreed architecture and design standards.

You will optimise table design, data models and semantic models for onward data consumption by content creators across the organisation.

You will also ingest third party data using Microsoft Fabric capabilities and prepare third party data for both standalone and combined analysis with other company data sets.

Your responsibilities will include ensuring data platform delivers to non-functional requirements and performance optimisation and troubleshooting of data technologies.

Furthermore, you will curate an unstructured data (documents, reports, lists etc.) ecosystem within Microsoft Fabric tools.

Required Skills and Qualifications:

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Our ideal candidate will have experience working in a team, building & supporting data platforms with Microsoft technologies.

They will possess technical skills with some of the following technologies: Data Factory, Data Activator, Synapse Data Engineering, Synapse Data Warehouse, Python, One Lake.

A working knowledge of Microsoft Azure Cloud is essential, as well as good knowledge of data management principles, including data modelling, data integration, ETL processes, data governance, and data security.

Experience building data platform components to support a business need is required, as well as strong planning and organisational skills.

Additionally, experience of working within an Agile working environment is desirable.

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Benefits:

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We offer a flexible benefit payment equivalent to 10% of salary, a bonus of 2 months salary for 'on-target' performance or 3 months salary for over-performance, life insurance of 2x annual salary, pension with 10% employer contribution increasing to 15% if you contribute 5%, and 30 days annual leave plus the ability to buy and sell up to five days annual leave.


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