Senior Graph Data Engineer - Python, APIs & Neo4j

Ascent Software; United Kingdom; Hybrid; GBP 55,437 - 81,023; Full time

Job summary

Ascent Software is seeking a Backend Data Engineer to build graph-driven data platforms and Python-based services. Design and implement APIs (FastAPI) integrated with graph databases to enable advanced analytics and API-first data access across complex domains.

You will collaborate with engineers, data scientists, and stakeholders to deliver scalable, production-grade data solutions and reusable data products. Experience with Neo4j, Spark/PySpark, and cloud-native platforms is valued.

Responsibilities

• Design and develop Python-based backend services and APIs (e.g., FastAPI) for data products.
• Build scalable data pipelines using Spark/PySpark and Databricks.
• Create reusable, API-first data products aligned to business use cases.
• Ensure data quality, governance, and observability across pipelines.
• Work with large, cloud-native datasets in scalable environments.
• Design graph data models and APIs using Neo4j for knowledge graphs.

Skills

Python backend

APIs (FastAPI)

Neo4j

SQL/Data modelling

Spark/PySpark

Cloud-native platforms

Enterprise data

Stakeholder management

Tools

Neo4j

Databricks

Delta Lake

Job description

Ascent Software is seeking a Backend Data Engineer to build graph-driven data platforms and Python-based services. Design and implement APIs (FastAPI) integrated with graph databases to enable advanced analytics and API-first data access across complex domains.

You will collaborate with engineers, data scientists, and stakeholders to deliver scalable, production-grade data solutions and reusable data products. Experience with Neo4j, Spark/PySpark, and cloud-native platforms is valued.