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Day 11
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Architect and maintain high-volume ingestion pipelines with complex payload parsing
Own and upgrade Apache Airflow as a platform
Build monitoring, alerting and automated data quality checks
Track Snowflake compute usage down to individual users and optimize costs
Migrate legacy data flows from Redshift and Redash to Snowflake and dbt
Architect, scale, and maintain high-volume ingestion pipelines, including preprocessing and parsing complex payloads before landing in the warehouse
Own and evolve Apache Airflow as a platform, driving version upgrades, configuration, and architectural best practices
Implement monitoring, alerting, resource tracking, and automated data quality checks
build systems to track compute usage down to the individual user level
migrating legacy data flows
Founded in 2015, Grover enables consumers and businesses across Europe to subscribe to tech devices and comprehensive technology solutions - from individual smartphones, laptops, and wearables to full corporate device setups.
In the employer’s words · Read in context
Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 11
Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
🤝 What you bring: - Experience & Core Tech: 5+ years in data engineering with deep proficiency in Python, SQL, and modern ELT design patterns, ideally within dynamic tech companies. - Data Platforms & Orchestration: Hands-on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and Apache Airflow.
To continue this incredible adventure, we are currently looking for a Senior Data Engineer to join our talented Data Platform team, full-time (40 hours/week) and a minimum 3 days per week (Tuesday-Thursday) at our Berlin HQ. Grover's Data Platform team is mid-transformation, migrating from Redshift, Tableau, and Redash to Snowflake, dbt, Looker, Airflow, and Airbyte while also moving from centralized to decentralized analytics. You'll report to the Data Platform Lead and take ownership of the most complex, high-volume data pipelines and automations, as well as the data infrastructure across the platform, working alongside senior Analytics Engineers and another Senior Data Engineer. This is a hands-on role with real influence over how Grover's data infrastructure is built for the long term. 🎯 What you will contribute:
- Ingestion & Processing: Architect, scale, and maintain high-volume ingestion pipelines, including preprocessing and parsing complex payloads before landing in the warehouse. - Platform Automation & Migration: Build end-to-end automations across AWS (S3), Airflow, and the cloud data warehouse while stabilizing, documenting, and migrating legacy data flows. - Orchestration Ownership: Own and evolve Apache Airflow as a platform, driving version upgrades, configuration, and architectural best practices.
- Data Platforms & Orchestration: Hands-on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and Apache Airflow. - Cloud & IaC: Proven experience designing cloud data infrastructure (ideally AWS) and provisioning scalable environments using Terraform. - Engineering Best Practices: Solid track record with Git, testing frameworks, CI/CD, proactive documentation, and reducing technical debt.
- Experience & Core Tech: 5+ years in data engineering with deep proficiency in Python, SQL, and modern ELT design patterns, ideally within dynamic tech companies. - Data Platforms & Orchestration: Hands-on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and Apache Airflow. - Cloud & IaC: Proven experience designing cloud data infrastructure (ideally AWS) and provisioning scalable environments using Terraform.
- Communication & Language: Strong written and verbal communication skills in English, which is our company language. - Nice-to-haves: Hands-on experience with dbt, Kubernetes, and Kafka. 🚀 The Grover Way - How We Drive Success:
- Observability & Reliability: Implement monitoring, alerting, resource tracking, and automated data quality checks, diagnosing pipeline issues at the root cause. - Performance & FinOps Ownership: Take active responsibility for the data platform's costs (e.g., Snowflake credits). You will optimize warehouse performance and build systems to track compute usage down to the individual user level, ensuring all ~30 data champions are operating efficiently and accountable for the costs they generate. - Architecture & Enablement: Serve as a senior technical voice on platform decisions and enable decentralized analytics by building a platform that serves ~30 data champions.
- Platform Automation & Migration: Build end-to-end automations across AWS (S3), Airflow, and the cloud data warehouse while stabilizing, documenting, and migrating legacy data flows. - Orchestration Ownership: Own and evolve Apache Airflow as a platform, driving version upgrades, configuration, and architectural best practices. - Observability & Reliability: Implement monitoring, alerting, resource tracking, and automated data quality checks, diagnosing pipeline issues at the root cause.
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Founded in 2015, Grover enables consumers and businesses across Europe to subscribe to tech devices and comprehensive technology solutions - from individual smartphones, laptops, and wearables to full corporate device setups. The company offers access to over 1,000 unique tech items on flexible and financially convenient terms. A pioneer of the circular economy, Grover refurbishes and recirculates devices to help eliminate e-waste.
To continue this incredible adventure, we are currently looking for a Senior Data Engineer to join our talented Data Platform team, full-time (40 hours/week) and a minimum 3 days per week (Tuesday-Thursday) at our Berlin HQ.
Grover's Data Platform team is mid-transformation, migrating from Redshift, Tableau, and Redash to Snowflake, dbt, Looker, Airflow, and Airbyte while also moving from centralized to decentralized analytics. You'll report to the Data Platform Lead and take ownership of the most complex, high-volume data pipelines and automations, as well as the data infrastructure across the platform, working alongside senior Analytics Engineers and another Senior Data Engineer. This is a hands-on role with real influence over how Grover's data infrastructure is built for the long term.
🎯 What you will contribute:
🤝 What you bring:
🚀 The Grover Way - How We Drive Success:
❤️🔥 What you will love about us:
Embark on a rewarding journey with the Grover Rocketship, where your impact is felt, and together, we cultivate a more circular world. 💚
We are looking forward to e-meeting you! 🚀
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Berlin HQ
- Annual learning budget of 750€ - 15 remote business days per year to work abroad - 4 Volunteer days per year
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