Senior Data Engineer (EU) — Databricks & Cloud Pipelines

Zoolatech; Central (LA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Zoolatech seeks a Senior Data Engineer for a 6-month project on a cloud-based data platform for construction management. You will work with our partner's data team to ingest data from multiple sources into a lakehouse and deliver trusted datasets for data scientists and product teams.

You will own end-to-end pipelines, including metrics pipelines and backfills, and ensure secure access and maintainability. Collaboration with data science, platform, and product teams is essential.

Qualifications

• 6+ years hands-on data engineering experience.
• Strong Python and SQL.
• Airflow or a similar orchestration tool.
• Hands-on experience with a major cloud platform, ideally AWS.
• Strong software engineering practices: GitHub, CI/CD and code reviews.
• Hands-on production experience in data modeling, backfills and data quality.

Responsibilities

• Designing and maintaining scalable ingestion and transformation pipelines on Databricks, with jobs defined as code and deployed through CI/CD.
• Owning end-to-end pipelines, including usage and business metrics pipelines and large-scale historical backfills across several data domains.
• Consolidating and standardizing pipeline and job definitions into shared, reusable frameworks.
• Supporting customer-health and usage analytics with reliable, well-modelled data.
• Managing access, permissions and monitoring so that data is secure and issues are caught early.
• Working with data science, platform and product teams to turn requirements into production-grade data products.

Skills

Python

SQL

Airflow

AWS

CI/CD

GitHub

Data Modeling

Backfills

Data Quality

Prod Experience

Tools

Snowflake

Job description

Zoolatech seeks a Senior Data Engineer for a 6-month project on a cloud-based data platform for construction management. You will work with our partner's data team to ingest data from multiple sources into a lakehouse and deliver trusted datasets for data scientists and product teams.

You will own end-to-end pipelines, including metrics pipelines and backfills, and ensure secure access and maintainability. Collaboration with data science, platform, and product teams is essential.