Senior Data Infrastructure Engineer
פורסם לפני 30 ימים · 0 מועמדים
התפקיד במילים פשוטות
מהנדס/ת תשתית נתונים בכיר/ה יצטרף/תצטרף לצוות פלטפורמת הנתונים בתל אביב ויבנה את יסודות הנתונים של Lemonade. התפקיד כולל עבודה על תשתית הקולטת, מעבדת ומנהלת נתונים ממגוון מוצרים, לקוחות ומיקרו-שירותים, הן בזרם והן באצווה. העבודה תשפיע על קבלת ההחלטות בכל צוותי החברה.
- 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 AI concepts like RAG, embeddings, and LLM context engineering
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסי/ות נתונים או תשתית נתונים עם לפחות 5 שנות ניסיון וידע מעמיק בבסיסי נתונים SQL ו-NoSQL. נדרש ניסיון מוכח בבניית תשתיות נתונים בקנה מידה גדול, כולל Change Data Capture וצינורות זרימה, וכן ניסיון מעשי עם Python, Pulumi/Terraform, Apache Spark, Snowflake, AWS, Kubernetes ו-Kafka. התפקיד פחות מתאים למי שאינו/ה מעוניין/ת לעבוד בסביבה משרדית רוב ימות השבוע.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןWhat 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
What you’ll need:
• 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
Things to know…
Lemonade is an equal opportunity employer committed to diversity and inclusivity. We never discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you require reasonable accommodations due to religious beliefs, pregnancy, or disabilities, let us know at any time.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- מהמשרד
- 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