Jobs at native

Location

London, United Kingdom

Salary

£500 - £550 /day

Job Type

Full-time

Date Posted

October 18th, 2024

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Jobs at native

Data Engineer (FTC) at native

Location

London, United Kingdom

Salary

£500 - £550 /day

Job Type

Full-time

Date Posted

October 18th, 2024

View All Jobs

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Location: Shoreditch, London (2-3 days in office)
Contract Duration: 3-6 months
Day Rate: Up to £550 per day (Outside IR35)


Role Overview:
We are seeking a PowerBI/Fabric Data Engineer to execute on some of the more technical aspects of the migration of our data infrastructure from a Google BigQuery ‘lake’ + Google sheets into the Microsoft Fabric ecosystem. You will create a SQL-first experience for managing and optimising data within our warehouse and will play a key role in rolling out PowerBI reporting across the business. You’ll be responsible for introducing dbt for data modelling and implementing best practices across the data stack.

Key Responsibilities:

  • Data Infrastructure & Migration: Lead the transition from Google BigQuery into Microsoft Fabric (Azure) with a focus on ingestion, data modelling, and reporting.
  • PowerBI Deployment: Build and implement PowerBI reporting solutions, ensuring user-friendly access for both expert and non-expert stakeholders, establishing folder structures, reporting templates, and best practices.
  • Best Practices Implementation: Define and enforce best practices for data ingestion, star/snowflake schema design, data validation and testing, etc. Depending on your breadth of experience  / as a bonus, you’ll also provide some support on establishing best practices at the BI / visualisation layer too
  • Team Mentorship: Support / mentor a small team of 3-4 people working on KPI reporting, ad-hoc requests, and exploratory data analysis, again depending on experience

Essential Experience:

  • Strong expertise with the Microsoft Fabric Stack, incl. Synapse
  • Experience in deploying and managing PowerBI across various user groups
  • dbt experience for data modelling
  • Familiarity with Google BigQuery and transitioning from non-Microsoft ecosystems

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