Lead Data Engineer

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Aker Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🔒 Cybersecurity

💰 Venture Round on 2020-07

AI • Data Infrastructure • Cybersecurity

Aker Systems is a data infrastructure company that specializes in modernizing cloud data environments to empower enterprises with real-time data capabilities. Their mission is to enable secure, seamless, and enterprise-scale data flow in the public cloud, supporting organizations in becoming data-driven. Aker Systems is recognized for its contributions to innovation and has recently received accolades for its workplace culture and leadership in data management.

📋 Description

• 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, helping 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.

🎯 Requirements

• Strong commercial experience designing and implementing real-time streaming data platforms. • Hands-on experience with technologies such as 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 modern data engineering patterns, including batch, streaming and hybrid 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 optimising 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 (TDD) 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. • 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. • Strong technical leadership and problem-solving skills. • Ability to communicate effectively with both 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. • A passion for building reliable, scalable and secure data platforms.

🏖️ Benefits

• 25 days holiday plus bank holidays • company paid medical insurance • life assurance • pension scheme • annual training allowance • wellbeing allowance • virtual GP • Employee Assistance plan • more.