Senior Data Platform Engineer – AI/ML on AWS

CRELIMUK Credera Limited; Greater London, Manchester, Leeds, Newcastle upon Tyne; Híbrido; GBP 58 000 - 74 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Comprehensive benefits

Flexible hybrid working

Resumo da oferta

Credera is seeking a senior data engineering leader in the UK to drive complex data delivery across client projects. You’ll shape data pipelines, data lakes, and ML-ready platforms using Spark, Python, SQL, and AWS services.

You’ll mentor engineers, collaborate with architects and stakeholders, and ensure secure, scalable solutions within a hybrid work model. You will work across regulated environments with a focus on delivering high-impact data and AI workloads, including GenAI/LLM-based

Qualificações

• Experience leading multiple complex data engineering delivery streams.
• Ability to manage teams and escalate decisions affecting scope.
• Hands-on experience building data pipelines with Spark, Python, or SQL.
• Proven experience with AWS data/AI services like SageMaker.

Responsabilidades

• Lead delivery of data engineering initiatives for client projects.
• Manage teams and act as escalation point for decisions impacting your area.
• Design and build data pipelines and data platforms for analytics and AI workloads.
• Collaborate with architects and stakeholders to ensure timely, quality outcomes.

Conhecimentos

Data engineering

AWS

Spark

Python

SQL

Data Lakes/Data Mesh

MLOps

SageMaker

Stakeholder management

Mentoring

Ferramentas

Spark

Python

SQL

AWS

SageMaker

EMR/Databricks/Snowflake

Terraform/CloudFormation

Data Visualization tools

GitHub Actions/Azure DevOps/Jenkins

Descrição da oferta de emprego

Credera is seeking a senior data engineering leader in the UK to drive complex data delivery across client projects. You’ll shape data pipelines, data lakes, and ML-ready platforms using Spark, Python, SQL, and AWS services.

You’ll mentor engineers, collaborate with architects and stakeholders, and ensure secure, scalable solutions within a hybrid work model. You will work across regulated environments with a focus on delivering high-impact data and AI workloads, including GenAI/LLM-based