Senior Data Engineer — Databricks Pipelines (Remote)

Tamarind Intelligence; Barcelona; A distancia; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free coffee & snacks

Fresh fruit and office perks

Rooftop terrace

Ticket restaurant

Nursery vouchers

Descripción de la vacante

Leadtech is expanding its Data Platform and seeks a Senior Data Engineer to align marketing, payments, and product data with business goals. You will ingest data from ad platforms, payment systems, and product backends into Databricks, orchestrate Airflow jobs, and ensure accuracy of silver/gold tables.

You will collaborate with Analytics, Marketing, and Data Science teams to drive impactful improvements. The role emphasizes production ownership, data quality, and timely delivery, with

Formación

• Strong analytical and problem-solving abilities with a strategic approach.
• Experience collaborating with cross-functional teams including product, marketing, and data science.
• Excellent written and spoken English communication skills.
• Proficient in Python, SQL, Spark, Databricks, Airflow and GCP; familiarity with dbt and ads/payments APIs is a plus.

Responsabilidades

• Proactively identify, troubleshoot, and resolve issues to optimize internal and external processes.
• Balance multiple projects while aligning with brand standards and regulatory requirements.
• Collaborate with diverse stakeholders to gather requirements and develop data tools and processes.

Conocimientos

Python

SQL

Spark

Databricks

Airflow

GCP

dbt

Agile

APIs (ads/payments)

Herramientas

Airflow

Databricks

Unity Catalog

Delta

BigQuery

Descripción del empleo

Leadtech is expanding its Data Platform and seeks a Senior Data Engineer to align marketing, payments, and product data with business goals. You will ingest data from ad platforms, payment systems, and product backends into Databricks, orchestrate Airflow jobs, and ensure accuracy of silver/gold tables.

You will collaborate with Analytics, Marketing, and Data Science teams to drive impactful improvements. The role emphasizes production ownership, data quality, and timely delivery, with