Senior Data Engineer

About Zime AI

AI-native behaviour and revenue intelligence platform

Infrastructure reliability, scalability, and cost discipline are core to our success.

not a support role

builder and owner role

Role Overview

hands-on Data Engineer

high-impact architectural decisions

What You’ll Do

• Design and build

  scalable, reliable data pipelines

  for high-volume, high-velocity data

• Own data ingestion from multiple sources (product events, CRM, third-party tools, internal systems)

• Build and maintain

  CDC Pipelines

  ,

  ETL/ELT workflows

  , data models, and transformations

• Enable

  real-time and near-real-time analytics

  using Elastic Search to power AI workflows and sales playbooks

• Partner with ML engineers to support

  training, feature engineering, and inference pipelines

• Ensure

  data quality, observability, and reliability

  across systems

• Optimize pipelines for

  performance, cost, and scalability

• Define best practices for schema design, versioning, and documentation

• Mentor junior engineers and raise the overall data engineering bar

What We’re Looking For

• 5+ years of experience

  as a Data Engineer or in a similar backend/data-heavy role

• Strong hands-on experience with:

• Data pipelines and orchestration (Airflow, Mage AI, Prefect, or similar)

• Data warehouses / search engines (Elasticsearch, BigQuery, Snowflake, Redshift, Databricks, etc.)

• SQL at scale and data modeling best practices

• Solid programming experience in

  Java (Sprint Boot)

  and

  Python

  (or equivalent)

• Experience working with

  event-driven or streaming data

  (RabbitMQ, Kafka, Pub/Sub, Kinesis, etc.) is a strong plus

• Familiarity with

  cloud infrastructure

  (AWS (preferred)/ GCP / Azure)

• Strong understanding of

  data reliability, monitoring, and debugging

• Ability to work independently, take ownership, and ship end-to-end systems

• Clear communication and the ability to collaborate across product, ML, and engineering teams

Nice to Have

• Experience with Change Data Capture (CDC) patterns and MySQL replication

• Experience supporting

  ML or AI-driven products

• Exposure to

  real-time search/analytics

  or low-latency data systems

• Experience in

  high-growth startups

  or 0→1 / 1→n scaling phases

• Strong opinions on data architecture—and the ability to defend them pragmatically

Why Join Zime AI

• Work on

  AI-first, real-time systems

  that directly impact revenue teams

• High ownership, low bureaucracy, real technical influence

• Opportunity to shape the

  data foundation

  of a fast-scaling company

• Work with a sharp, ambitious team that values craft and clarity