Data Platform Engineer for AI-Powered Analytics

Synergy Resourcing Solutions, Company; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Synergy Resourcing Solutions is recruiting a Data Engineer to help modernise our enterprise data platform and enable AI-driven analytics. The role focuses on designing robust data models, governance, and scalable ELT pipelines.

You will work within a growing data team, collaborating with Analytics Engineers to ensure data reliability and readiness for BI, automation and AI initiatives. A cloud-first approach with Databricks is central.

Qualifications

• Experience designing scalable data models and modern data architectures.
• Hands-on with Databricks, PySpark and SQL to build robust ELT pipelines.
• Familiar with data governance, quality and lineage practices.
• Experience integrating data from multiple systems and APIs.
• Knowledge of Azure data services and cloud platforms.

Responsibilities

• Shape data structure and governance across the business.
• Design scalable data models and maintain data quality.
• Build and optimise ELT pipelines in Databricks using SQL, Python and PySpark.
• Collaborate with Analytics Engineers to ensure reliable data for BI, automation and AI.
• Contribute to platform architecture and long-term data standards.

Skills

Databricks

SQL

Python

PySpark

ELT pipelines

Data modelling

Lakehouse architecture

Azure data services

API integration

Data governance

Git

CI/CD

Tools

Azure Data Services

Git

CI/CD

Job description

Synergy Resourcing Solutions is recruiting a Data Engineer to help modernise our enterprise data platform and enable AI-driven analytics. The role focuses on designing robust data models, governance, and scalable ELT pipelines.

You will work within a growing data team, collaborating with Analytics Engineers to ensure data reliability and readiness for BI, automation and AI initiatives. A cloud-first approach with Databricks is central.