Data Platform Engineer: Snowflake, dbt & AWS

Berkshire News

Hemel Hempstead

Hybrid

GBP 60,000 - 95,000

Full time

3 days ago
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Benefits offered by this job

Annual bonus up to 15%
Pension scheme
25 days annual leave
Employee discounts
Life Assurance
Electric Vehicle scheme
Enhanced family policies

Job summary

Warner Hotels is building a modern data platform on Snowflake and dbt. The Software Engineer (Data) will be a core hands-on contributor, building and maintaining pipelines, transformation models, and data quality frameworks that turn raw source data into trusted business intelligence.

You will work in a squad with the Data Tech Lead and offshore partners, contributing to the data engineering roadmap and to data products such as the Customer Foundation Model and the AI KPI dashboard; ensuring

Qualifications

  • 2+ years in software engineering across front-end and back-end.
  • Hands-on React/Next.js experience.
  • Hands-on .NET (Core/.NET 5+) and C# experience; .NET 8 preferred.
  • Experience building and deploying microservices on AWS.
  • Experience with RESTful API design in a microservices architecture.
  • Experience working in agile sprint teams, including with nearshore/offshore partners.

Responsibilities

  • Design, build, and maintain data ingestion pipelines into Snowflake.
  • Develop and maintain dbt transformation models with staging/intermediate/mart layers.
  • Develop and maintain ELT/ETL pipelines using Python and AWS services.
  • Implement data quality tests within dbt and monitor data quality dashboards.
  • Document data lineage and transformation logic for data catalogues.
  • Collaborate with offshore partners and Data Tech Lead on delivery.

Skills

React/Next.js
.NET Core/.NET 5+
C#
AWS Lambda/ECS
REST APIs
Agile/Sprint teams
Offshore collaboration

Job description

Warner Hotels is building a modern data platform on Snowflake and dbt. The Software Engineer (Data) will be a core hands-on contributor, building and maintaining pipelines, transformation models, and data quality frameworks that turn raw source data into trusted business intelligence.

You will work in a squad with the Data Tech Lead and offshore partners, contributing to the data engineering roadmap and to data products such as the Customer Foundation Model and the AI KPI dashboard; ensuring

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