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Remote Data Engineering Manager - Platform & Growth

Airalo
Álava, Spain
3 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
7 years minimum
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

BigQuery Information Engineering Python (Programming Language) SQL Databases Data Strategy Data Pipelines

Job description

A leading eSIM provider is seeking a Data Engineering Manager to oversee a growing data team. This fully remote role involves managing data pipelines and infrastructure using GCP and BigQuery. The ideal candidate possesses over 7 years of experience in data engineering, a strong background in cloud platforms, and expertise in Python and SQL. The role emphasizes building data strategies that improve business outcomes and includes mentoring and team development responsibilities.#J-*****-Ljbffr

Requirements

A leading eSIM provider is seeking a Data Engineering Manager to oversee a growing data team. This fully remote role involves managing data pipelines and infrastructure using GCP and BigQuery. The ideal candidate possesses over 7 years of experience in data engineering, a strong background in cloud platforms, and expertise in Python and SQL. The role emphasizes building data strategies that improve business outcomes and includes mentoring and team development responsibilities. #J-*****-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:15 min

Three pillars of the data and AI strategy

Dominik Schneider Dominik Schneider · World Congress 2025

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

See all
Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Hacking Your Vacation: Using Data for Fun thumbnail
57:47
LIVE • about 3 years ago

Hacking Your Vacation: Using Data for Fun

Becky Gandillon

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Data Governance in the Era of AI thumbnail
20:04
World Congress 2025 • 12 months ago

Data Governance in the Era of AI

Kateřina Ščavnická

Making Data Warehouses fast. A developer's story. thumbnail
42:16
JS Congress • over 4 years ago

Making Data Warehouses fast. A developer's story.

Adnan Rahic

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