Senior Engineer, Data Engineering

n Role: Data Engineern Salary: TBC – Depending on experiencen Hybrid Working: 3 days per week in our Newcastle, Cobalt business park officen 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.n 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.n 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.n 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.n Data Pipeline Developmentn Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. n Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., n Data Architecture & Standardsn Contribute to data modelling, data architecture best practices, and modern patterns (e.g., n Ensure data quality, lineage, governance, and security controls are applied consistently. n DevOps & Deploymentn Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). n Work closely with analytics, ML/AI, and product teams to deliver clean, well‑structured datasets. n Core Data Engineeringn Strong programming proficiency in Java (preferred) or Python. n Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. n Experience building ETL/ELT or streaming data pipelines. n Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. n Understanding of distributed compute, large-scale data systems, and performance considerations. n DevOps & Engineering Practicesn Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). n Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). n Cloud certifications (AWS, Azure, GCP) are beneficial but not required. n Minimum 3 years’ experience working on data engineering or large-scale data solutions. n Comfortable working in Agile delivery teams. n Professional cloud or data engineering certifications. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.n At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences….