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Data Engineer

1 month ago

Leeds, Leeds, United Kingdom Michael Page (UK) Full time
About Our Client

The client is a government-owned organisation that provides infrastructure finance in partnership with the private sector and local government. Their aim is to finance a green industrial revolution and drive growth across the United Kingdom.

Job Description

We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, supporting, and developing the client's Golden Source data platform using Microsoft Fabric.

Your key responsibilities will include:

  1. Designing and developing data pipelines to support Power BI and AI analytical use cases.
  2. Establishing curated and semantic layers within the Golden Source data platform, aligned to company Data Architecture and using Microsoft Fabric capabilities.
  3. Contributing to all stages of the data platform lifecycle, including design, development, testing, and delivery phases, in line with agreed architecture and design standards.
  4. Optimising table design, data models, and semantic models for onward data consumption by content creators across the organisation.
  5. Ingesting third-party data using Microsoft Fabric capabilities and preparing it for standalone and combined analysis with other company data sets.
  6. Ensuring the data platform delivers to non-functional requirements.
  7. Performance optimisation and troubleshooting of data technologies.
  8. Cultivating an unstructured data ecosystem within Microsoft Fabric tools.
  9. Championing Cloud Operations & DevOps principles, approaches, and best practices.

Requirements

We are looking for a candidate with:

  1. Experience working in a team, building, and supporting data platforms with Microsoft technologies.
  2. Technical skills with some of the following technologies: Data Factory, Data Activator, Synapse Data Engineering, Synapse Data Warehouse, Python, One Lake.
  3. Working knowledge of Microsoft Azure Cloud.
  4. Good knowledge of data management principles, including data modelling, data integration, ETL processes, data governance, and data security.
  5. Experience building data platform components to support a business need.
  6. Strong planning and organisational skills, including the ability to manage several workstreams simultaneously, balancing business priorities and quality.
  7. Experience of working within an Agile working environment.

What's on Offer

We offer a range of benefits, including:

  1. Flexible benefit payment equivalent to 10% of salary.
  2. Bonus - 2 months salary for 'on-target' performance or 3 months salary for over-performance.
  3. Life Insurance - 2x annual salary.
  4. Pension - 10% employer contribution, increasing to 15% if you contribute 5%.
  5. 30 days annual leave plus the ability to buy and sell up to five days annual leave.