Senior Data Engineer Central Europe

Zoolatech; Central (LA); Híbrido; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Airflow

AWS

CI/CD

GitHub

Data Modeling

Backfills

Data Quality

Prod Experience

Ferramentas

Snowflake

Descrição da oferta de emprego

We are seeking a Senior Data Engineer for an initial 6-month project, with the possibility of extension.

Together with the Zoolatech team, our partner, a leading construction management company, is at the forefront of developing a cloud-based software solution. The platform is instrumental in the successful completion of major projects including skyscrapers, hospitals, data centers, stadiums, and schools. It streamlines the management of finances, quality, teams, and risks, making these processes transparent, convenient, and regulation-compliant.

Our partner is not only an expert in construction management but also a significant technology innovator, actively developing web and mobile solutions. Zoolatech plays a crucial role in supporting their growth, and we are looking for result-oriented engineers who can maintain high development standards.

You’ll join the data engineering team behind the platform’s analytics and customer-facing insights. The team ingests data from multiple operational sources into a lakehouse architecture and turns it into trusted, well-governed datasets for data scientists, analysts and product teams.

• 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.
• 6+ years of 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 (e.g. S3, IAM, networking basics, cost and access management).
• Strong software engineering practices: GitHub, CI/CD and code reviews.
• Hands-on production experience in data modeling, backfills and data quality, beyond building basic pipelines.

Nice to have

• Snowflake.
• AWS.
• Daily use of AI coding tools (e.g. Claude, Cursor).