Data Engineer

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

Job summary

Unknown company is seeking a Data Engineer to help modernise its enterprise data platform and analytics capabilities. The role focuses on modern engineering practices, not just keeping existing pipelines.

You will design scalable data models, build ELT pipelines in Databricks using SQL, Python and PySpark, and integrate data from internal and third-party systems to support BI, automation and AI initiatives.

Qualifications

• Experience designing scalable data models and lakehouse architectures.
• Strong ELT/data pipeline development with Databricks, SQL, Python and PySpark.
• Knowledge of data governance, metadata, lineage and data quality.
• Experience integrating data from multiple systems and APIs.

Responsibilities

• Shape how data is structured, governed and consumed across the business.
• Design scalable data models and modern data platforms.
• Build robust ELT pipelines in Databricks using SQL, Python and PySpark.
• Collaborate with Analytics Engineers to ensure data reliability for BI and AI solutions.

Skills

Data modelling

Governance

Data quality

Metadata management

CI/CD practices

Collaboration with analytics engineers

Tools

Databricks

SQL

Python

PySpark

Azure data services

APIs

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.