Angi is looking for an Engineering Manager with strong leadership, technical depth, and delivery experience to help shape the future of our global data platform. You’ll lead the Data Products & Enablement (DPE) team within the Data Platform Products focus area under the Technical Foundations Zone.

Requirements

8+ years of professional experience in data engineering or software engineering, with exposure across data, analytics, and platform domains.
2+ years of experience managing engineering teams, including performance management, promotions, and building high-performing teams.
Proven experience designing and operating large-scale, cloud-based data platforms and systems - not limited to small datasets or companies.
Hands-on experience with SQL and Python, and the ability to engage technically in design reviews and solution discussions.
Strong experience with the modern data stack, including dbt (advanced proficiency), Airflow (or similar orchestration tools), Spark, Snowflake, Redshift, Trino, Fivetran and ETL/ELT frameworks.
Familiar with event tracking and analytics platforms such as Confluent/Kafka, Snowplow, Segment, or Adobe Analytics.
Working knowledge of containerization (Docker or similar) and infrastructure automation (Terraform or similar).
Excellent communication skills, capable of partnering with Product, Marketing, and Analytics stakeholders to deliver data solutions that drive business value.
Experience implementing or contributing to data mesh architectures.
Programming experience in Java, Kotlin, or PHP.
Familiarity with Kubernetes, infrastructure engineering, and Terraform.
Experience with Reverse ETL tools (e.g., Census, Hightouch).
Experience with BI tools (Looker, Tableau, or similar).
Experience managing hybrid teams (data + software engineers).

Benefits

Highly competitive salary package
Hybrid work environment
Hybrid allowance/benefit
Temporary work from abroad policy
Regular team and social events
Referral bonus
Further benefits depending on location

Requirements

8+ years of professional experience in data engineering or software engineering, with exposure across data, analytics, and platform domains.

2+ years of experience managing engineering teams, including performance management, promotions, and building high-performing teams.

Proven experience designing and operating large-scale, cloud-based data platforms and systems - not limited to small datasets or companies.

Hands-on experience with SQL and Python, and the ability to engage technically in design reviews and solution discussions.

Strong experience with the modern data stack, including dbt (advanced proficiency), Airflow (or similar orchestration tools), Spark, Snowflake, Redshift, Trino, Fivetran and ETL/ELT frameworks.

Familiar with event tracking and analytics platforms such as Confluent/Kafka, Snowplow, Segment, or Adobe Analytics.

Working knowledge of containerization (Docker or similar) and infrastructure automation (Terraform or similar).

Excellent communication skills, capable of partnering with Product, Marketing, and Analytics stakeholders to deliver data solutions that drive business value.

Experience implementing or contributing to data mesh architectures.

Programming experience in Java, Kotlin, or PHP.

Familiarity with Kubernetes, infrastructure engineering, and Terraform.

Experience with Reverse ETL tools (e.g., Census, Hightouch).

Experience with BI tools (Looker, Tableau, or similar).

Experience managing hybrid teams (data + software engineers).

Data Engineering Manager

About the Company

Job Description

Requirements

Benefits

Similar Jobs

Data Engineering Manager

Engineering Manager

Data Engineering Manager

Data Engineering Manager

About the Company

Job Description

Requirements

Benefits

Similar Jobs

Data Engineering Manager

Engineering Manager

Data Engineering Manager

Job Details

About Instapro Group