Senior Data Infrastructure Engineer

What You’re Applying For

We're looking for a Senior Data Infrastructure Engineer to help us build the data foundation that powers everything Lemonade does. You'll be joining the Data Platform team in TLV, working on the infrastructure that ingests, processes, and governs data across a growing stack of products, customers, and microservices - structured and unstructured, streaming and batch. The work you do here sits at the core of how every team at Lemonade makes decisions.

We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.

Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.

In This Role You’ll

• Design and implement data solutions for all application requirements in a distributed microservices environment
• Build ingestion layers and a data lake using streaming ETLs and Change Data Capture
• Implement large-scale batch and streaming pipelines with modern data processing frameworks
• Build pipelines and scheduling infrastructures that other teams rely on every day
• Ensure data quality, compliance, and governance across Lemonade's entire data platform
• Help shape data-mesh concepts that empower other teams to leverage data independently
• Partner with Data Engineers, ML Engineers, Data Scientists, BI Engineers, and Product Managers to move fast and build right
  
  

• At least 5 years of experience as a Data Engineer or Data Infrastructure Engineer
• A bachelor's degree in Computer Science or a related field
• Deep knowledge of databases - SQL and NoSQL
• Proven experience building large-scale data infrastructures, including Change Data Capture, streaming pipelines, and customer data platforms
• Hands-on experience with Python, Pulumi/Terraform, Apache Spark, Snowflake, AWS, Kubernetes, and Kafka
• Familiarity with open source tools like Airflow and DBT
• Familiarity with AI concepts like RAG, embeddings, and LLM context engineering - a plus
• Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture
• Ready to work in an office environment most days of the week