Lead Data Platform Engineer at Akersystems
- Company: Akersystems
- Location: Remote/Home Based
- Employment type: full-time
- Posted: 2026-08-25
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.
In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work.
Location
UK / Remote
Clearance
Depending on the client assignment, UK Government Security Check (SC) clearance may be required. Where SC clearance is required, candidates who do not currently hold clearance may be supported through the application process, subject to eligibility requirements, including having lived and worked in the UK for a minimum of 5 years.
The Role
We are looking for a Lead Data Platform Engineer to provide hands-on technical leadership in designing, building and evolving secure, scalable and reliable data platforms for clients across the public sector and utilities.
You will work across cloud-native and distributed data platforms, helping engineering teams build reliable platform capabilities that support batch, real-time streaming, analytical and operational workloads.
The role combines hands-on engineering with technical leadership. You will contribute to platform architecture and design decisions, establish engineering standards, solve complex technical challenges and work closely with architects, engineers and client stakeholders.
Strong experience with cloud platforms, distributed systems and data platform engineering is essential.
Key Responsibilities
- Lead the design, development and evolution of secure, scalable data platform services and components.
- Design and implement platform capabilities supporting batch, real-time streaming and hybrid workloads.
- Build and optimise distributed data services using technologies such as Kafka, Kinesis, Spark, Flink or equivalent.
- Contribute to platform architecture and technical design decisions, balancing scalability, security, performance and maintainability.
- Work closely with architects and engineers to establish reusable platform patterns, standards and engineering practices.
- Develop cloud-native data platform capabilities using AWS and/or Azure.
- Support high availability, fault tolerance, resilience and low-latency performance across platform services.
- Establish and maintain approaches to data modelling, schema management, data quality and data integrity.
- Drive engineering best practices including CI/CD, automated testing, TDD, observability and Infrastructure as Code.
- Support platform monitoring, troubleshooting, performance optimisation and root cause analysis.
- Contribute to resilience, disaster recovery and operational readiness activities.
- Work with DevOps and Platform Engineering teams to improve deployment and operational processes.
- Support technical discovery and solution design with client stakeholders.
- Provide technical guidance, mentoring and support to Senior Data and Platform Engineers.
- Identify technical risks, dependencies and opportunities for continuous improvement.
Essential Technical Skills & Experience
- Strong commercial experience in Data Platform Engineering, Data Engineering, Software Engineering or a similar technical discipline, with experience operating at Lead level.
- Experience designing and building cloud-native, distributed data platforms.
- Strong experience with Java and/or Python or equivalent modern programming languages.
- Experience with streaming and event-driven architectures, including Kafka, Kinesis or equivalent.
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