Data Architect & Engineer: Cloud Data Platforms & AI

Wavestone; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

25 days annual leave

Private health & dental cover

Life insurance

Company share scheme

Flexible benefits

Job summary

Wavestone UK seeks a Data Architect or Data Engineer to design and deliver data solutions for clients across regulated industries, including Banking, Insurance, and Life Sciences. You will define data architectures, build scalable data platforms and pipelines, and establish strong governance practices.

This client-facing role requires leadership across delivery teams, a strong background in data governance, and hands-on experience with cloud ecosystems.

Qualifications

• Significant consulting or client-facing experience in data engineering and architecture.
• Strong understanding of data engineering principles: ETL/ELT, ingestion, orchestration, integration.
• Experience governing modern data architectures (lakehouse, data mesh, data fabric).
• Hands-on with cloud data ecosystems: Azure, AWS, GCP, Databricks, Snowflake.
• Strong SQL and/or Python, familiarity with dbt, Git, CI/CD or MLOps.

Responsibilities

• Lead and deliver engagements delivering complex data transformation programmes.
• Advise on data strategies, operating models, governance frameworks, and platform choices.
• Design scalable data pipelines and cloud-native data solutions for trusted analytics and AI use cases.
• Support business development and propose data-driven solutions for strategic accounts.
• Contribute to thought leadership, methodologies, and internal capability building.

Skills

Data architecture

Data engineering

Cloud data platforms

SQL/Python

BI/Visualization

Tools

Azure

AWS

GCP

Databricks

Snowflake

Job description

Wavestone UK seeks a Data Architect or Data Engineer to design and deliver data solutions for clients across regulated industries, including Banking, Insurance, and Life Sciences. You will define data architectures, build scalable data platforms and pipelines, and establish strong governance practices.

This client-facing role requires leadership across delivery teams, a strong background in data governance, and hands-on experience with cloud ecosystems.