Senior Data Engineer

Anson McCade

Newcastle upon Tyne, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£37,000.0 - £68,500.0

Working hours

Regular working hours

Job source

www.adzuna.co.uk

Tech stack

Java (Programming Language) Amazon Web Services Cloud Computing Computer Programming Information Technology Consulting Continuous Integration Data Architecture Information Engineering Data Infrastructure Data Systems DevOps Distributed Data Store

+9 more

Python (Programming Language) Performance Tuning Apache Spark Containerization Apache Flink Deployment Automation Apache Kafka Data Management Data Pipelines

Job description

Design and deliver scalable data platforms and engineering solutions.
Lead the development of batch and real-time data pipelines.
Drive best practice across data architecture, engineering standards and governance.
Work with cloud-native technologies to develop high-performing data solutions.
Support DevOps adoption, automation and CI/CD processes.
Collaborate with architects, engineers and stakeholders across multiple projects.
Mentor junior engineers and contribute to team capability development.
Support technical decision-making and solution design activities.

Technologies:

AWS
CI/CD
Cloud
DevOps
Flink
Support
Java
Kafka
Python
Spark, We are supporting a major technology consulting business as it continues to expand its data engineering capability. This Senior Data Engineer role is based in Newcastle with hybrid working and offers a salary of up to £68,000 plus bonus, pension and benefits. You will join a growing engineering practice delivering innovative data solutions at scale, work alongside talented technology professionals, gain exposure to cutting-edge technologies and play a key role in shaping the future direction of complex data programmes.

Requirements

Strong commercial experience in data engineering and modern data platforms.
Advanced programming skills in Java or Python.
Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks.
Experience delivering solutions within AWS or other major cloud platforms.
Strong understanding of data architecture, scalability and performance optimisation.
Experience working with containerisation, Infrastructure as Code and automated deployment approaches.
Ability to engage confidently with both technical and non-technical stakeholders.
Experience supporting or leading technical teams within complex delivery environments.