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Aker Systems

Enterprise data solutions for cloud modernization

Lead Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listedRemote

About the Job

Requirements

  • Strong commercial experience designing and implementing real-time streaming data platforms.
  • Hands-on experience with Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, or similar event-driven technologies.
  • Experience building high-volume, low-latency, resilient data pipelines in production environments.
  • Strong understanding of batch, streaming, and hybrid data engineering architectures.
  • Extensive experience developing and operating enterprise-scale data platforms.
  • Strong SQL skills and experience designing data models for analytical and operational workloads.
  • Proficiency in Python or other modern programming languages used for data engineering.
  • Experience configuring, tuning, and optimizing relational and NoSQL databases.
  • Strong experience working with AWS cloud services, including EC2, RDS, Lambda, Athena, Glue, S3, and IAM.
  • Experience working within Agile delivery environments.
  • Strong understanding of Test-Driven Development and automated testing practices.
  • Experience implementing CI/CD pipelines and engineering automation.
  • Strong understanding of Infrastructure as Code principles.
  • Experience using version control systems such as Git.
  • Experience delivering technology solutions within UK Public Sector, Utilities, Energy, Water, Financial Services, or other highly regulated industries.
  • Understanding of security, governance, and compliance considerations within regulated environments.
  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
  • Strong technical leadership and problem-solving skills.
  • Ability to communicate effectively with technical and non-technical stakeholders.
  • Experience working in complex, regulated environments.
  • A collaborative approach and willingness to support and mentor others.
  • A focus on delivering practical solutions that create value for clients.

Responsibilities

  • Lead the design, development, and deployment of secure, scalable data pipelines and data platform components.
  • Design and implement batch and real-time streaming solutions using modern event-driven architectures.
  • Own technical design decisions across projects, balancing scalability, security, performance, and delivery requirements.
  • Lead technical workshops, discovery sessions, and architecture discussions with client stakeholders.
  • Assess existing client data platforms and design practical approaches for modernisation, migration, and integration.
  • Build and maintain data ingestion, transformation, and integration capabilities across a variety of data sources.
  • Develop cloud-native data platforms using AWS services and open-source technologies.
  • Ensure data quality, governance, lineage, and security requirements are embedded throughout the data lifecycle.
  • Drive engineering best practices, including code reviews, automated testing, CI/CD, and Infrastructure as Code.
  • Support multiple client engagements and help delivery teams maintain consistent engineering quality and standards.
  • Mentor and support engineers across project teams, providing technical guidance and leadership.
  • Perform data modelling, performance tuning, and root cause analysis to resolve complex data and platform issues.

Desired Qualifications

  • Experience with Terraform.
  • Experience with Docker and Kubernetes.
  • Knowledge of Ansible and Packer.
  • Linux and Windows administration experience.
  • Experience supporting AI, machine learning, or advanced analytics platforms.
  • Experience working on programmes requiring UK Government security clearance.

About the Company

Aker Systems

Enterprise data solutions for cloud modernization

Aker Systems provides enterprise data solutions that help large organizations move and manage data securely in the public cloud. It focuses on modernizing data infrastructure and ensuring data can flow seamlessly and at scale across cloud environments. The company uses a proprietary, platform-agnostic tech stack and offers services from initial data transformation to achieving a mature, data-driven enterprise state, supported by technology accelerators that speed up implementation. Unlike single-cloud or vendor-specific approaches, Aker Systems emphasizes cross-cloud compatibility and scalable data operations delivered through skilled professionals and strong leadership. The goal is to help clients optimize their data operations, maximize cloud investments, and become fully data-driven enterprises.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Bicester, United Kingdom
Founded
2016

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