Data Engineer - Newcastle

3003 Accenture (UK) Limited Company; 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

Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement

About the Team

Our Advanced Technology Centre is a hub of innovation where we deliver high-quality data and technology services to clients across both the public and private sectors. You'll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands-on experience with modern data technologies and the chance to shape large-scale data solutions, this position offers you the opportunity to develop and progress rapidly.

Role Overview

As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud-based architectures that power intelligent decision-making.

Key Responsibilities

• Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue).
• Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently.
• DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads.
• Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers where needed.

Core Data Engineering

• Strong programming proficiency in Java (preferred) or Python.
• Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming).
• Solid understanding of stream processing concepts (e.g., event time, state, backpressure).
• Understanding of software engineering best practices: testing, design patterns, CI/CD, Git.
• Experience building ETL/ELT or streaming data pipelines.
• Exposure to microservices and distributed system concepts.
• Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable.
• Understanding of distributed compute, large-scale data systems, and performance considerations.

DevOps & Engineering Practices

• Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.).
• Infrastructure-as-Code (Terraform preferred).
• Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS).

Certifications & Tools

Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required.

Other Requirements

• Minimum 3 years' experience working on data engineering or large-scale data solutions.
• Comfortable working in Agile delivery teams.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
• Desirable Experience in client-facing or consulting environments.
• Professional cloud or data engineering certifications.
• Experience mentoring or supporting junior engineers.
• Background in designing or operating real-time, low-latency systems.

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About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services - creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit www.accenture.com

Equal Employment Opportunity Statement

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