Data Engineer

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. Youll 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. Youll 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. Dev Ops & Deployment Deploy and maintain data applications using CI/CD tooling (Azure Dev Ops, Git Hub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, Cloud Formation) 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, back pressure). 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.

Dev Ops & Engineering Practices

Experience with CI/CD tools (Azure Dev Ops, Git Hub 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, Big Query, 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. About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth…