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Sr. Data Engineer (m/w/x)

Grover Berlin, Germany
Full-time Hybrid work

Publication date: 13/11/2026

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. We are currently looking for a Senior Data Engineer to join our 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 migrating from Redshift, Tableau, and Redash to Snowflake, dbt, Looker, Airflow, and Airbyte while 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.

Responsibilities

Architect, scale, and maintain high-volume ingestion pipelines, including preprocessing and parsing complex payloads before landing in the warehouse; Build end-to-end automations across AWS (S3), Airflow, and the cloud data warehouse while stabilizing, documenting, and migrating legacy data flows; 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, diagnosing pipeline issues at the root cause; Take active responsibility for the data platform's costs (e.g., Snowflake credits), optimize warehouse performance, and build systems to track compute usage down to the individual user level; Serve as a senior technical voice on platform decisions and enable decentralized analytics by building a platform that serves ~30 data champions

Requirements

5+ years in data engineering; Deep proficiency in Python, SQL, and modern ELT design patterns; Ideally experience within dynamic tech companies; Hands-on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift); Hands-on production experience with Apache Airflow; Proven experience designing cloud data infrastructure (ideally AWS); Experience provisioning scalable environments using Terraform; Solid track record with Git, testing frameworks, CI/CD, proactive documentation, and reducing technical debt; Strong cost-ownership mindset (FinOps discipline); Pragmatic systems thinker who translates business requirements into technical solutions; Communicates effectively across technical and non-technical stakeholders; Strong written and verbal communication skills in English

Nice to have

Hands-on experience with dbt; Hands-on experience with Kubernetes; Hands-on experience with Kafka

Benefits

A diverse global team of 75 nationalities; Virtual or in-person coaching sessions with the Fürstenberg Institut; Physical health support with Urban Sports Club; Annual learning budget of 750€; 15 remote business days per year to work abroad; 4 volunteer days per year; Exclusive Grover Tech discount; BVG monthly discount for travel in Berlin; Engaging, open office in Berlin-Schöneberg with regular events
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