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morning

Data Engineer

morning Tel-Aviv, Tel-Aviv District, Israel

Business Consulting and Services · 201-500 employees

6 h ago
data-engineer Mid (2-5 yrs) Full-time Israel
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About the role

You will build and maintain batch and streaming data pipelines on Databricks to ensure reliable data flow. Additionally, you will transform data into accessible tables and implement monitoring to maintain high data quality standards.

What they look for

Python SQL Spark Databricks AWS Terraform CI/CD Data Pipelines Streaming Pipelines Batch Pipelines Serverless Architecture Git Data Modeling Data Quality TypeScript Node.js

Requirements

Candidates must have at least 4 years of experience building production data pipelines with strong proficiency in Python and SQL. Experience with Spark, serverless architectures, and CI/CD practices is also required.

Full description

Since 2011, Morning has helped freelancers and small businesses manage their finances: invoices, payments, expenses and accounting. Today, 170,000 business owners use our platform.

Every interaction generates data. So far, that's added up to more than 20 billion events. Our data platform turns this data into the foundation that our product, customer experience, finance, and AI teams rely on.

As a Data Engineer, you'll build and run the pipelines behind it, while helping shape our next-generation company brain: a unified place where people and AI agents can access Morning's knowledge and get reliable answers.

We're a small team, which means your work reaches production early and has an impact across the company, with guidance and code reviews from senior engineers along the way.

What you'll do

  • Build and maintain batch and streaming pipelines on Databricks.
  • Transform and model data from our services into clean, reliable and accessible tables.
  • Build data quality checks and monitoring to ensure the reliability of our data.
  • Deploy and maintain production pipelines through CI/CD.
  • Document data models and tables to make data discoverable and easy to use across the company.
  • Identify opportunities to improve pipeline performance, reliability and cost efficiency.

Our stack: Python, SQL, Spark, Databricks, AWS, Terraform, TeamCity. We use Claude in day-to-day development.

Requirements

  • 4+ years of experience building production data pipelines.
  • Strong Python and SQL.
  • Experience with Spark.
  • Experience with serverless architecture.
  • Experience with Git and CI/CD.
  • Daily use of AI coding assistants such as Claude, with the judgment to validate their output.
  • Interest in how the data is used, not just produced.

Advantages

  • Databricks experience.
  • AWS experience.
  • Terraform or other infrastructure as code.
  • Proficiency with SQL and NoSQL databases and CDC.
  • TypeScript and Node.js.
  • Experience building and managing AI agents.
  • Experience with Amazon Bedrock AgentCore.

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