Data Engineer - Newcastle

Accenture PLC; Newcastle upon Tyne; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Accenture PLC in the United Kingdom is seeking a Data Engineer in Newcastle Upon Tyne. Hybrid work: 3 days per week in the office.

You will design, build and maintain scalable data solutions that enable analytics, AI, and operational insights, collaborating with client and internal teams to deliver robust data pipelines and reliable data architectures.

Qualifications

• Minimum 3 years’ experience working on data engineering or large-scale data solutions.
• Hands-on experience with streaming data pipelines and real-time processing.
• Experience with cloud platforms (AWS/Azure/GCP).
• Proficient in Java or Python and SQL.
• Familiarity with CI/CD and DevOps practices.

Responsibilities

• Build, optimize, and maintain scalable data pipelines.
• Develop real-time streaming pipelines and event-driven integrations.
• Integrate data from multiple sources using AWS managed services.
• Contribute to data modelling, architecture, and governance best practices.
• Deploy data applications using CI/CD tooling and Infrastructure as Code.

Skills

Java

Python

Kafka

Flink

Spark

CI/CD

Docker

Kubernetes

AWS

Security & governance

Tools

Databricks

Snowflake

Terraform

CloudFormation

AWS

Azure

GCP

Kinesis

MSK

Glue

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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