Senior Data Engineer

Grover; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Fully-remote/hybrid work structure

German language courses

Learning budget

Career growth opportunities

Office visits in Berlin, Lisbon and (D

Miami

Job summary

Grover is seeking a Senior Data Engineer to own the most complex, high-volume data pipelines and the data infrastructure across the platform. You will work hands-on with senior Analytics Engineers, shaping long-term architecture and platform decisions.

In this role you will architect ingestion pipelines, automate platform processes across AWS, Airflow, and Snowflake, and drive observability, FinOps, and reliability to enable decentralized analytics for ~30 data champions.

Qualifications

• 5+ years in data engineering with deep Python/SQL experience.
• Hands-on with modern cloud data warehouses (Snowflake) and ELT patterns.
• Experience building scalable ingestion pipelines and platform automation.

Responsibilities

• Architect, scale, and maintain high-volume ingestion pipelines.
• Own and evolve Apache Airflow as a platform and drive upgrades.
• Implement observability, monitoring, and data quality checks.
• Lead FinOps efforts and optimize compute usage and costs.
• Enable decentralized analytics for ~30 data champions.

Skills

Python

SQL

ELT design

Airflow

Snowflake

dbt

Tools

Airflow

Terraform

Kubernetes

Kafka

dbt

Job description

• 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
• 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
• 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

Benefits

• Fully-remote/hybrid work structure. Office? Remote? Figure out the balance that works best for you
• Online German Language Courses for all levels
• Learning budget
• Entrepreneurial responsibilities and upward career growth
• Working for a market leader
• Visit our engaging, open offices located in Berlin, Lisbon and Miami
• Diverse global team of 65+ nationalities (and counting)! Genuinely the nicest group of colleagues who will soon become friends
• Team events, Grover tech discounts, and expanding company perks

• Engineering Best Practices: Solid track record with Git, testing frameworks, CI/CD, proactive documentation, and reducing technical debt
• FinOps Discipline & Mentality: 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
• Nice-to-haves: Hands‑on experience with dbt, Kubernetes, and Kafka
• Cloud & IaC: Proven experience designing cloud data infrastructure (ideally AWS) and provisioning scalable environments using Terraform
• Business Mindset & Collaboration: Pragmatic systems thinker who translates business requirements into technical solutions and communicates effectively across technical and non‑technical stakeholders
• Communication & Language: Strong written and verbal communication skills in English, which is our company language
• Data Platforms & Orchestration: Hands‑on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and Apache Airflow
• Experience & Core Tech: 5+ years in data engineering with deep proficiency in Python, SQL, and modern ELT design patterns, ideally within dynamic tech companies