Lead Data Engineer

Job not on LinkedIn

🔥 16 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aker Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🔒 Cybersecurity

💰 Venture Round on 2020-07

Artificial Intelligence • 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 client data platforms and design approaches for modernisation, migration and integration • Build and maintain data ingestion, transformation and integration capabilities • Develop cloud-native data platforms using AWS services and open-source technologies • Ensure data quality, governance, lineage and security throughout the data lifecycle • Drive engineering best practices including code reviews, automated testing, CI/CD and Infrastructure as Code • Support multiple client engagements and maintain consistent engineering quality and standards • Mentor and support engineers across project teams • Perform data modelling, performance tuning and root cause analysis to resolve complex data and platform issues

🎯 Requirements

• Experienced and hands-on Lead Data Engineer • 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 architectures • Extensive experience developing and operating enterprise-scale data platforms • Strong SQL skills and experience designing data models • Proficiency in Python or other modern programming languages used for data engineering • Experience configuring, tuning and optimising relational and NoSQL databases • Strong experience 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 Git or similar version control systems • 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 • Experience with Terraform, Docker, Kubernetes, Ansible, Packer, Linux, Windows administration, AI, machine learning or advanced analytics platforms, and UK Government security clearance are desirable

🏖️ 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

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