Remote Data Platform Engineer - Azure - Build from Scratch

Deerfoot Recruitment Solutions Ltd; Letchworth; Hybride; GBP 50 000 - 55 000; Plein temps

Résumé du poste

Deerfoot Recruitment Solutions Ltd. is seeking a Data Engineer to join a growing data platform initiative. This role offers remote work with occasional travel to Letchworth and a chance to shape an Azure-based data platform from the ground up.

You'll collaborate with stakeholders to translate business needs into robust data pipelines using Python, PySpark and SQL, while building and tuning scalable data models and supporting BI across the group.

Qualifications

• Hands-on experience as a Data Engineer, building and maintaining data pipelines.
• Strong Python and PySpark skills.
• Experience with Azure data services such as Synapse, Databricks or Data Factory.
• Good SQL and data modelling skills.
• Confidence working with stakeholders to turn business needs into data solutions.

Responsabilités

• Gathering requirements with data, product and senior stakeholders, and helping them with data-related technical issues
• Designing conceptual, logical and physical data models for the new platform
• Building metadata-driven pipelines across Azure Synapse, Data Factory and PostgreSQL using Python and PySpark
• Migrating data from legacy reporting solutions onto the platform while protecting data integrity
• Releasing code through Azure DevOps and Git, and keeping documentation and data mapping up to date
• Monitoring and tuning data loads, supporting BI users, and joining an out-of-hours rota for business-critical issues

Connaissances

Python

PySpark

SQL

Stakeholder communication

Data modelling

Outils

Azure Synapse

Azure Data Factory

Databricks

Azure DevOps

Description du poste

Deerfoot Recruitment Solutions Ltd. is seeking a Data Engineer to join a growing data platform initiative. This role offers remote work with occasional travel to Letchworth and a chance to shape an Azure-based data platform from the ground up.

You'll collaborate with stakeholders to translate business needs into robust data pipelines using Python, PySpark and SQL, while building and tuning scalable data models and supporting BI across the group.