Senior Data Engineer - Cloud Data Pipelines & AI Models

Reply, Inc.; Manchester, Greater London; Remoto; GBP 70.000 - 110.000; Tempo integral

Resumo da vaga

Reply, Inc. is seeking a Senior Data Engineer in Manchester to own data solutions end-to-end—from design through production delivery. You will build scalable data pipelines using SQL, dbt and cloud platforms, delivering reliable data models for analytics and AI initiatives.

You will work directly with clients and stakeholders, applying best practices in data governance, security and observability while mentoring other engineers in a collaborative consulting environment.

Qualificações

• Strong SQL skills with ability to build complex transformations and data models.
• Hands-on experience with dbt, including building, testing and documenting transformations.
• Experience delivering data solutions on major cloud platforms (AWS/Azure/Google Cloud).
• Understanding of ETL/ELT, data modelling, warehouse architecture and scalable pipelines.
• Familiarity with Git, code reviews, automated testing and CI/CD pipelines.

Responsabilidades

• Take end-to-end ownership of data engineering solutions from requirements to deployment and optimisation.
• Design, build and maintain scalable data pipelines and transformations using SQL, dbt, and cloud platforms.
• Develop high-quality data models to support reporting, analytics, AI, and business decisions.
• Apply software engineering best practices including version control, testing, CI/CD and deployment management.
• Ensure data solutions are reliable, secure, and maintainable with monitoring and observability.

Conhecimentos

SQL

dbt

Cloud platforms

ETL/ELT design

Data modelling

CI/CD

Ferramentas

Git

Descrição da vaga

Reply, Inc. is seeking a Senior Data Engineer in Manchester to own data solutions end-to-end—from design through production delivery. You will build scalable data pipelines using SQL, dbt and cloud platforms, delivering reliable data models for analytics and AI initiatives.

You will work directly with clients and stakeholders, applying best practices in data governance, security and observability while mentoring other engineers in a collaborative consulting environment.