Data Engineer Expert

3 weeks ago


Edinburgh, Edinburgh, United Kingdom Net Talent Full time

About You

We are looking for a commercially experienced data engineer to work with the latest tools, contribute to architectural and technical design decisions, and collaborate with software developers, modellers, core IT, and the wider business to deliver high-quality solutions.

In order to succeed in and enjoy this role, you will either be working with Azure tools already or have an established background in Microsoft SQL database technologies and be excited about transitioning these skills to the cloud.

Key Responsibilities

  • Design and develop data-driven C# .NET applications, such as data-driven dashboards, data processing applications, and secure data access tools.
  • Experience integrating data-driven applications with different data sources, for example: SQL Databases, Document Databases (MongoDB, CosmosDB, etc.), and Parquet.
  • Experience of taking different business applications and use cases and supporting their needs (query patterns, etc.) within appropriate data solutions, while maintaining data integrity and provenance.
  • Comfortable dealing with large volumes of data, generally time series and numeric data.
  • Engage constructively in a multi-disciplined team environment.

Desirable Skills

  • Understanding and experience of provisioning APIs for data consumption.
  • Experience or familiarity with web-based data visualization tools such as HighCharts, as well as AngularJS front ends.
  • Experience or familiarity with some of the following: BI visualization tools (Power BI or similar), exposure to R or Python, Microsoft Power Apps, and modelling and data science practices.
  • Experience of or willing to learn the following technologies: Microsoft Fabric or its related technologies (Azure Databricks, Azure Synapse Analytics, Azure DW, Azure SQL DB, Azure Data Factory, Azure Data Lake).
  • Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps.
  • Familiarity with optimising strategies, pipeline architectures, data sets, and ETL/ELT processes.

Offices are located in Edinburgh or Glasgow, and we operate a hybrid model of work. Please apply if you would like to find out more.



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