Senior Data Engineer - Mobile Apps (Remote)

Jobgether; Portugal; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible remote work

Private health insurance

Annual learning budget

Birthday off

Resumo da oferta

Jobgether is seeking a Senior Data Engineer - Mobile Apps based in Portugal to design, build and operate robust data infrastructure supporting marketing, payments, product analytics and business decisions.

You will ingest data from advertising platforms and product backends into cloud data environments and own critical reporting and attribution data pipelines. Strong collaboration across analytics, marketing, product and engineering is essential in this international team.

Qualificações

• Proven data engineering experience with hands-on Python, SQL, Spark and Databricks.
• Experience with Databricks Unity Catalog and Delta is a plus.
• Practical Airflow experience for orchestrating production pipelines.
• GCP experience, especially GCS and BigQuery, is required or highly preferred.
• Strong problem-solving, collaboration, and ability to own production data environments.

Responsabilidades

• Build, operate and optimize data pipelines for daily reporting, attribution and LTV analyses.
• Ingest and transform data from ads, payments, and product backends into Databricks environments.
• Orchestrate workflows with Apache Airflow and ensure timely, reliable runs.
• Maintain accurate silver and gold data tables with data quality checks.
• Collaborate with Analytics, Marketing, Data Science, Product and Eng to translate requirements.

Conhecimentos

Python

SQL

Spark

Databricks

Airflow

BigQuery

GCS

dbt

Ferramentas

Unity Catalog

Delta

Descrição da oferta de emprego

Jobgether is seeking a Senior Data Engineer - Mobile Apps based in Portugal to design, build and operate robust data infrastructure supporting marketing, payments, product analytics and business decisions.

You will ingest data from advertising platforms and product backends into cloud data environments and own critical reporting and attribution data pipelines. Strong collaboration across analytics, marketing, product and engineering is essential in this international team.