Senior Data Engineer

Responsibilities

We are representing a confidential global travel technology organization seeking a Senior Data Engineer to join their London-based data platform team. In this role, you will design, build, and sustain enterprise-scale data infrastructure that processes petabyte-scale datasets and serves millions of users worldwide.

Your responsibilities will include:

• Owning the full lifecycle of business-critical data pipelines: defining SLAs, implementing performance measurement, monitoring, alerting, anomaly detection, and leading incident response and root-cause analysis
• Designing, building, and maintaining robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other cloud platforms
• Defining scalable, reusable data models and curated datasets for analytics, data science, CRM, machine learning, and other consumers across the organization
• Architecting and scaling streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads
• Writing and reviewing production Java and Python code across the platform stack—from data ingestion and event processing to REST services and internal tooling
• Driving warehouse standardization and technical-debt reduction as the organization consolidates toward unified infrastructure
• Setting and evolving engineering standards, patterns, and best practices for data modeling, pipeline design, testing, and observability
• Leading large initiatives end to end: technical specifications, design reviews, project planning, and delivery across distributed teams
• Designing, operating, and continuously improving cloud infrastructure on AWS, applying strong judgment on performance, scalability, and cost
• Applying AI to accelerate platform work and building reusable automation patterns for pipeline migrations and upgrades
• Partnering with Product, Analytics, Data Science, and business stakeholders to shape specifications and deliver high-impact solutions

What We're Looking For

Our client requires a senior-level engineer with deep data platform expertise and strong software engineering fundamentals:

• 8+ years of data engineering or software development experience in commercial settings, including a track record of technical leadership on medium-to-large projects
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep experience designing and implementing complex ETL/ELT pipelines from concept to production, including SLAs, performance measurement, and monitoring
• Comprehensive data design and data modeling experience, with advanced SQL skills across large, complex datasets
• Extensive experience with big data technologies and cloud data warehouses (Snowflake, BigQuery, Hadoop/Hive) at terabyte-and-growing scale
• Experience building reusable frameworks, platforms, or tooling that other engineers depend on—not just point solutions
• Hands-on proficiency in both Python and Java for production systems
• Systems performance and tuning expertise, with clear understanding of how architectural decisions affect scalability and cost
• Familiarity building REST services and working with event queue systems
• Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers
• Comfortable operating with autonomy in loosely defined problem spaces, breaking down complex problems into pragmatic solutions
• Strong communication skills to effectively engage with both business and technical teams
• Self-paced, organized, and detail-oriented approach with strong sense of ownership

How We Work with You

Get A Job.ai is a recruiting firm representing this confidential employer. When you apply through our platform at getajob.ai, one of our talent specialists will review your profile and conduct an initial screening call to understand your experience and career goals. If there's a strong match, we will submit your candidacy to our client for consideration and guide you through their interview process.

Please apply exclusively through Get A Job.ai. Do not attempt to contact the employer directly, as we are managing this search on their behalf.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and provide reasonable accommodations throughout our recruitment process. If you need assistance at any stage, please let your recruiter know.