Data Engineer

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

We're recruiting a Data Engineer to join an organisation that's modernising its enterprise data platform and preparing for the next generation of analytics and AI driven solutions.

Working Pattern:3 days per week in the office

You will be responsible for shaping how data is structured, governed and consumed across the business, with a strong focus on modern engineering practices rather than simply maintaining existing pipelines.

Working within a growing data team, you'll design scalable data models, build robust ELT pipelines in Databricks using SQL, Python and PySpark, and integrate data from multiple internal and third-party systems.

You'll collaborate closely with Analytics Engineers to ensure data is reliable, well-governed and ready to support business intelligence, automation and the next generation of AI-powered solutions.

This is a business undergoing significant transformation, including a major CRM migration and ongoing investment in modern cloud technologies. The role offers genuine influence over technical direction, giving you the opportunity to challenge existing approaches, improve platform architecture and help define long-term data standards, rather than simply delivering against predefined requirements.

You’ll need experience with:

• Databricks, SQL, Python and PySpark
• Building and optimising ELT/data pipelines
• Data modelling, lakehouse architecture and modern data platforms
• Azure data services
• API and third-party system integration
• Data quality, governance, metadata and lineage
• Git, CI/CD and engineering best practices

This role would suit someone who enjoys solving complex data challenges, thinks beyond individual pipelines and wants to help build a modern, scalable platform that will underpin analytics, automation and AI across the business.