Pentaleap
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Senior Data Engineer (m/w/d)
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Pentaleap About The Position We are looking for a Senior Data Engineer to help design and maintain scalable, secure, and high-performance data infrastructure on Google Cloud Platform (GCP). This role combines hands-on development in Java, Scala, Spark, and Python with strong experience across BigQuery, GCS, and PostgreSQL. You’ll also contribute to orchestration using Airflow and containerized workloads deployed via Kubernetes. Familiarity with Bigtable is a strong plus. Responsibilities
Develop and maintain reliable data pipelines on GCP using BigQuery, GCS, Airflow, and Kubernetes. Implement scalable data ingestion and transformation workflows in Java, Scala, Spark, and Python. Optimize SQL performance across BigQuery and PostgreSQL. Architect and manage data orchestration with Airflow, ensuring pipeline reliability and observability. Design and deploy services and jobs in Kubernetes, ensuring efficient resource usage. Collaborate with data analysts, scientists, and backend engineers to deliver high-quality, actionable data. Support or prototype high-throughput, low-latency systems using Bigtable when appropriate. Your Profile
5+ years of experience in data engineering or backend-focused engineering roles. Expertise with GCP, especially BigQuery and GCS. Proficiency in Java (Spring or similar frameworks), Scala, Spark, and Python. Strong SQL skills and hands-on experience with PostgreSQL. Experience with Apache Airflow for job orchestration. Hands-on experience deploying and managing services on Kubernetes. Solid understanding of data architecture, observability, and cloud cost optimization. Nice to Have
Experience with Bigtable or other NoSQL systems. Familiarity with dbt, Looker, or related analytics tools. Knowledge of Terraform or similar infrastructure-as-code tools. What We Offer We know that the main reason people love their work is the people they work with. That's why we strive to create an open, collaborative, and inclusive environment where people can challenge each other, create together, and do great things. Our benefits include:
As an emerging technology company, you participate in addition to your salary through our VESOP program with virtual company shares. We offer full flexibility regarding your working hours and location. We work remote-first. With many international colleagues in various countries, we offer our employees access to the best thinking on three continents and learning opportunities that come from working in global contexts. The base salary may vary depending on job-related knowledge, skills, experience, and location. We offer an annual bonus plan (average annual payout of 15% based on achieving company goals) in addition to the base salary as part of the compensation package, depending on the position offered. About Us Pentaleap is leading retail media towards an open, efficient ecosystem. Its modular retail media platform delivers stellar shopping experiences, makes advertisers happy, and drives hundreds of millions in revenue for world-class retail media networks like Staples, The Home Depot and Pague Menos.
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Senior Data Engineer (m/w/d)
role at
Pentaleap About The Position We are looking for a Senior Data Engineer to help design and maintain scalable, secure, and high-performance data infrastructure on Google Cloud Platform (GCP). This role combines hands-on development in Java, Scala, Spark, and Python with strong experience across BigQuery, GCS, and PostgreSQL. You’ll also contribute to orchestration using Airflow and containerized workloads deployed via Kubernetes. Familiarity with Bigtable is a strong plus. Responsibilities
Develop and maintain reliable data pipelines on GCP using BigQuery, GCS, Airflow, and Kubernetes. Implement scalable data ingestion and transformation workflows in Java, Scala, Spark, and Python. Optimize SQL performance across BigQuery and PostgreSQL. Architect and manage data orchestration with Airflow, ensuring pipeline reliability and observability. Design and deploy services and jobs in Kubernetes, ensuring efficient resource usage. Collaborate with data analysts, scientists, and backend engineers to deliver high-quality, actionable data. Support or prototype high-throughput, low-latency systems using Bigtable when appropriate. Your Profile
5+ years of experience in data engineering or backend-focused engineering roles. Expertise with GCP, especially BigQuery and GCS. Proficiency in Java (Spring or similar frameworks), Scala, Spark, and Python. Strong SQL skills and hands-on experience with PostgreSQL. Experience with Apache Airflow for job orchestration. Hands-on experience deploying and managing services on Kubernetes. Solid understanding of data architecture, observability, and cloud cost optimization. Nice to Have
Experience with Bigtable or other NoSQL systems. Familiarity with dbt, Looker, or related analytics tools. Knowledge of Terraform or similar infrastructure-as-code tools. What We Offer We know that the main reason people love their work is the people they work with. That's why we strive to create an open, collaborative, and inclusive environment where people can challenge each other, create together, and do great things. Our benefits include:
As an emerging technology company, you participate in addition to your salary through our VESOP program with virtual company shares. We offer full flexibility regarding your working hours and location. We work remote-first. With many international colleagues in various countries, we offer our employees access to the best thinking on three continents and learning opportunities that come from working in global contexts. The base salary may vary depending on job-related knowledge, skills, experience, and location. We offer an annual bonus plan (average annual payout of 15% based on achieving company goals) in addition to the base salary as part of the compensation package, depending on the position offered. About Us Pentaleap is leading retail media towards an open, efficient ecosystem. Its modular retail media platform delivers stellar shopping experiences, makes advertisers happy, and drives hundreds of millions in revenue for world-class retail media networks like Staples, The Home Depot and Pague Menos.
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