Senior Data Engineer - Real-Time Data & Cloud

Accenture PLC; Newcastle upon Tyne; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

Accenture PLC in Newcastle upon Tyne is seeking a Data Engineer to design, build and maintain scalable data solutions enabling analytics, AI and operational insights. You will develop robust data pipelines, ensure data reliability, and support cloud-based architectures powering intelligent decision-making.

Join a team delivering modern data technologies across public and private sectors, with hands-on experience in streaming, ETL/ELT, and collaboration with analytics, ML/AI and product teams.

Qualifications

• Minimum 3 years' experience in data engineering or large-scale data solutions.
• Experience with data pipelines, ETL/ELT, or streaming data pipelines.

Responsibilities

• Data Pipeline Development: Build, optimize, and maintain scalable data pipelines using Java (primary), with exposure to Python, Flink, Kafka, or Spark.
• Data Architecture & Standards: Contribute to data modelling, architecture best practices, and modern patterns; ensure data quality, lineage, governance, and security controls.
• DevOps & Deployment: Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins); use IaC (Terraform) to manage cloud environments; work with Docker and Kubernetes-based workloads.
• Collaboration: Work with analytics, ML/AI, and product teams to deliver clean datasets; participate in code reviews; mentor junior engineers.

Skills

Java

Python

Kafka

Flink

Spark

Cloud platforms

CI/CD

Data modelling

Data governance

Communication

Tools

Databricks

Snowflake

BigQuery

AWS

Azure

GCP

Terraform

Docker

Kubernetes

Cloud certifications

Job description

Accenture PLC in Newcastle upon Tyne is seeking a Data Engineer to design, build and maintain scalable data solutions enabling analytics, AI and operational insights. You will develop robust data pipelines, ensure data reliability, and support cloud-based architectures powering intelligent decision-making.

Join a team delivering modern data technologies across public and private sectors, with hands-on experience in streaming, ETL/ELT, and collaboration with analytics, ML/AI and product teams.