Sr. Data Engineer (m/w/x)

Kurz zusammengefasst

Grover, a European tech‑device subscription service founded in 2015, is expanding its Data Platform team in Berlin. The company rents smartphones, laptops, wearables and full corporate setups, refurbishing devices to reduce e‑waste. They are looking for a Senior Data Engineer to work full‑time (40 hours) on‑site at least three days a week (Tuesday‑Thursday) at the Berlin headquarters. The day‑to‑day work centers on building and maintaining high‑volume ingestion pipelines, preprocessing complex payloads and loading data into the cloud warehouse. You will automate end‑to‑end flows across AWS S3, Airflow and Snowflake, document and migrate legacy processes, and own the Airflow platform, handling upgrades, configuration and best‑practice architecture. Monitoring, alerting, resource tracking and automated data‑quality checks are also part of the remit, as is managing Snowflake credit costs by optimizing performance and tracking usage per user for the roughly 30 data champions on the team. Additionally, you will act as a senior technical voice in platform decisions and help enable decentralized analytics. The role requires at least five years of data‑engineering experience with strong Python, SQL and modern ELT design skills, preferably in fast‑moving tech environments. You must have hands‑on production experience with cloud data warehouses such as Snowflake, BigQuery or Redshift and with Apache Airflow. Designing cloud data infrastructure on AWS and provisioning it with Terraform is essential, as is a solid background in Git, testing frameworks, CI/CD and thorough documentation. A cost‑ownership mindset (FinOps) and the ability to translate business needs into technical solutions while communicating clearly in English are also mandatory. Nice‑to‑have expertise includes working with dbt, Kubernetes and Kafka. The position offers the chance to influence Grover's long‑term data architecture, collaborate with senior analytics engineers, and be part of a culturally diverse team of 75 nationalities. The company emphasizes ownership, transparent communication and personal growth through coaching sessions with the Fürstenberg Institut. What the role asks for: - 5+ years data engineering experience - Proficiency in Python - Proficiency in SQL - Experience with modern ELT design patterns - Hands‑on production work with Snowflake, BigQuery or Redshift - Hands‑on production work with Apache Airflow - Designing AWS data infrastructure using Terraform - Strong English written and verbal communication - Nice‑to‑have: experience with dbt - Nice‑to‑have: experience with Kubernetes - Nice‑to‑have: experience with Kafka