Data engineer

Grover; Berlin; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Virtual or In‑person coaching with Für

Urban Sports Club

Job summary

Grover is seeking a Senior Data Engineer to join the Data Platform team in Berlin. You will architect and scale ingestion pipelines, build end-to-end automations across AWS and Airflow, and own platform cost optimization while enabling decentralized analytics for ~30 data champions.

The role emphasizes Python/SQL, cloud warehouses, and data infra design, with a strong focus on cost ownership and cross-functional collaboration.

Qualifications

• 5+ years in data engineering with Python, SQL, and ELT design patterns.
• Hands-on production experience with modern cloud data warehouses and Apache Airflow.
• Proven design of cloud data infrastructure (AWS) and Terraform usage.
• Strong cost ownership, documentation, and cross-team communication.

Responsibilities

• Architect, scale, and maintain high-volume ingestion pipelines.
• Build end-to-end automations across AWS (S3), Airflow, and the data warehouse.
• Own and evolve Apache Airflow as a platform with upgrades and best practices.
• Implement monitoring, data quality checks, and cost-tracking for the platform.

Skills

Python

SQL

ELT design patterns

English comms

Cloud data infra design

Cost ownership mindset

Stakeholder comms

Tools

Snowflake

BigQuery

Redshift

Apache Airflow

Terraform

Git

CI/CD

dbt

Kubernetes

Kafka

Job description

Описание:

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,

Задачи:

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). 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. Serve as a senior technical voice on platform decisions and enable decentralized analytics by building a platform that serves ~30 data champions.

Требования:

5+ years in data engineering with deep proficiency in Python, SQL, and modern ELT design patterns, ideally within dynamic tech companies. Hands-on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and Apache Airflow. Proven experience designing cloud data infrastructure (ideally AWS) and provisioning scalable environments using Terraform. Solid track record with Git, testing frameworks, CI/CD, proactive documentation, and reducing technical debt. A strong cost-ownership mindset. Beyond standard compute sizing and storage management, you have experience in (or see the value in) building usage tracking, attributing costs to specific users or queries, and proactively staying on top of the platform's cost optimization. Pragmatic systems thinker who translates business requirements into technical solutions and communicates effectively across technical and non-technical stakeholders. Strong written and verbal communication skills in English, which is our company language. Будет плюсом: Hands-on experience with dbt, Kubernetes, and Kafka

Условия:

• A diverse global team of 75 nationalities (and counting!)


• 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 to drive you everywhere in Berlin


• Engaging, open office located in Berlin-Schöneberg with regular events