Sr. Data Engineer (m/w/x)
Grover is hiring a Sr. Data Engineer (m/w/x) in Berlin, Germany. Level rates it ; you can apply on Grover.
Level's read on this job
- Little AI ββββ is how Level rates this data engineer role: aI is not part of the work.
- Level lists 9 other open roles at Grover.
AI in this role
About Grover
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 ourΒ 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.
Β π― 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.
- 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.
π€ 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.Β
- 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.
- 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.
- 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.
- Nice-to-haves: Hands-on experience with dbt, Kubernetes, and Kafka.
π The Grover Way - How We Drive Success:
- Own It: We take ownership seriously and define what success looks like. We drive shared ownership and don't wait - we drive. We keep one another accountable and take responsibility when issues arise.
- Challenge, Decide, and Commit: We engage in proactive support, active listening, and healthy conflict to reach the best outcomes. We value diverse perspectives and, once a decision is made, we commit to it fully.
- Empower and Grow: We enable, trust, and coach one another toward high performance, always thinking and acting like owners. We seek growth, apply feedback, and support the development of our peers.
- Respect, Transparency, and Clarity: We strive for clear, respectful, and open communication with no surprises. We simplify complex information so everyone knows the "what, why, and how".
β€οΈβπ₯ What you will love about us:Β
- A diverse global team of 75 nationalities (and counting!)
- Virtual or In-person Coaching Sessions with the FΓΌrstenberg Institut
- Physical health support with Urban Sports Club
- Annual learning budget of 750β¬Β
- 15 remote business days per year to work abroadΒ
- 4 Volunteer days per year
- Exclusive Grover Tech discount
- BVG monthly discount to drive you everywhere in Berlin
- Engaging, open office located in Berlin-SchΓΆneberg with regular events
Embark on a rewarding journey with the Grover Rocketship, where your impact is felt, and together, we cultivate a more circular world. π
We are looking forward to e-meeting you! π
How we rate this
Sr. Data Engineer (m/w/x) at Grover rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ββββ Builds AI80 to 100
- ββββ Works on AI60 to 79
- ββββ Uses AI40 to 59
- ββββ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $149k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new data engineer jobs by email
One email a week with the new data engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step