Remote UK Data Platform Engineer & Consultant

Advancing Analytics; USA; Remote; USD 93.000 - 132.000; Vollzeit

Benefits dieser Stelle

Remote work from the UK

Occasional travel to customers

Zusammenfassung

Advancing Analytics is seeking a data platform engineer to build scalable data pipelines and analytical solutions. The role blends hands-on engineering with consulting, delivering end-to-end data products for client projects. This is a remote position for UK-based candidates, with occasional travel to customers or team locations.

You will work across the data lifecycle—requirements, design, implementation, and governance—using cloud services, Spark, Python, and SQL to create reliable platforms.

Qualifikationen

• Experience with Azure cloud and data engineering on cloud platforms.
• Proficient in Python and SQL with complex queries.
• Familiar with Spark/Databricks and data lake architectures.
• Knowledge of governance tooling and IaC practices.
• Experience with agile delivery and client consulting.

Aufgaben

• Gather client requirements and contribute to data engineering designs.
• Develop data pipelines and platform components using cloud services, Spark, Python, and SQL.
• Orchestrate data workflows and work with lake storage and Delta Lake formats.
• Apply practices that improve data quality, resilience, observability, and governance.
• Participate in agile project delivery and follow deployment processes.
• Share knowledge and contribute to a collaborative technical community.

Kenntnisse

Azure cloud

Spark data processing

Python

SQL

Data governance

CI/CD practices

Agile delivery

Consulting

Streaming data

Tools

Databricks

Microsoft Fabric

Azure Data Lake

Delta Lake

Unity Catalog

Purview

Terraform

Azure DevOps

Jobbeschreibung

Advancing Analytics is seeking a data platform engineer to build scalable data pipelines and analytical solutions. The role blends hands-on engineering with consulting, delivering end-to-end data products for client projects. This is a remote position for UK-based candidates, with occasional travel to customers or team locations.

You will work across the data lifecycle—requirements, design, implementation, and governance—using cloud services, Spark, Python, and SQL to create reliable platforms.