Uniting Ambition
Senior Data Engineer
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Senior Data Engineer
Hybrid – London
£100,000–£120,000 + Benefits
The Business
This is working with a globally recognised travel brand with a rich heritage and a strong international presence.
Despite the challenges faced across the travel sector in recent years, the organisation has continued to achieve some impressive growth year on year and is investing heavily in their tech and data capabilities.
The Role
This is a hands-on Lead Data Engineer combining deep technical expertise with strategic architecture. This may also suit a Lead Data Engineer or Staff Data Engineer - where you are still very technical and want to remain so but involved with architecture and wanting to make a real difference.
You will play a key role in shaping and evolving the organisation's data platform, with an immediate focus on building scalable, modern data architecture capabilities.
Working across architecture, governance, and vendor management, you will help drive the design and delivery of cloud-native, event-driven solutions while establishing standards and best practices across the wider data function.
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Key Responsibilities
- Design and implement hybrid data architectures (AWS core platform)
- Lead the architecture and development of event-driven data platforms.
- Drive data governance initiatives, including data quality, lineage, and policy enforcement.
- Provide architectural oversight throughout project delivery, ensuring solutions align with business objectives and regulatory requirements.
- Translate business requirements into technical solutions.
- Manage and engage with technology vendors and third-party partners.
- Stay current with emerging technologies, industry trends, and best practices in data architecture and governance.
Skills & Experience
- Proven experience in Data Engineering and Data Architecture within both cloud and on-premise environments (AWS preferred)
- Knowledge of AWS technologies such as Lambda, Fargate, EKS, DynamoDB, and MemoryDB would be advantageous.
- Hands-on experience with Kafka, ideally including Confluent Platform and/or Confluent Cloud.
- Strong experience with Terraform and Infrastructure as Code (IaC) methodologies.
- Proficiency in Python and SQL.
- Solid understanding of distributed systems, data platforms, data pipelines, and event-driven architectures.
- Experience establishing and governing enterprise-wide data standards and practices.
- Having worked within a consumer environment would be highly advantageous - where there is complex data
- Must have ILR, UK Citizenship or EU Citizenship
- Excellent communication and stakeholder management skills, with the ability to engage effectively across both technical and nontechnical audiences.
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