Senior Data Engineer (Germany, Remote, m,d,f)

Overview

We're looking for a Senior Data Engineer to shape and scale our open lakehouse data platform built on Snowflake (compute) and Apache Iceberg tables on AWS S3. You'll own end‑to‑end design and evolution of robust, scalable pipelines that power analytics, ML, and customer‑facing features across our SaaS digital advertising products. You'll collaborate with Product and Engineering to keep systems performant, reliable, and business‑aligned. Ship hands‑on, lead technical design, run code reviews, and mentor others in modern data engineering practices.

What You'll Do

• Design, build, and maintain scalable data pipelines, architectures, and platforms with a focus on reliability and efficiency.
• Implement ETL/ELT processes with rigorous quality checks and governance to ensure data accuracy and consistency.
• Mentor data engineers, share best practices, and foster a culture of learning and ownership.
• Partner with Engineering, Product, and Business to translate requirements into high‑impact data solutions.
• Own project execution end‑to‑end—scoping, estimation, delivery, and communication.
• Champion testing, documentation, and observability through design reviews and technical leadership.
• Stay ahead of industry trends in cloud data, big data processing, and real‑time analytics.

Required Qualifications

• 5+ years in data engineering, with hands‑on production experience building open lakehouses using Snowflake + Apache Iceberg.
• Strong production track record with dbt—complex models, dependencies, incremental logic, custom tests, CI/CD.
• Advanced SQL & Python; you build idempotent, observable, schema‑safe pipelines.
• Deep knowledge of data modelling trade‑offs, distributed systems, and big data frameworks.
• Excellent communicator—distill complex topics for technical and non‑technical audiences with empathy.
• Proven collaborator with strong problem‑solving, mentoring, and project management skills.
• (Bonus) Built and maintained a production‑grade open lakehouse from scratch (Iceberg + catalog + compute).
• (Bonus) Familiar with DataOps, IaC, or real‑time streaming pipelines.

Desired Skills

• Deep expertise in open lakehouse architectures—Snowflake compute + Apache Iceberg on cloud object storage.
• Hands‑on production experience with Iceberg catalog management (Polaris, Glue, or Hive); time‑travel/snapshot queries; partition evolution & schema evolution safety; Snowflake Iceberg external tables, query tuning, clustering, cost control, RBAC/masking.
• Strong production proficiency in dbt (authoring complex models, incremental logic, snapshots, exposures, custom tests, CI/CD) using Snowflake/Iceberg adapters.
• Experience working with AWS Cloud Platform; DataOps/IaC (Terraform, dbt Cloud); Real‑time streaming (Kafka/Flink, Kinesis).

Benefits & Perks

Factor Eleven's tech department is an in‑house tech scale‑up responsible for our SaaS product suite offering localized digital advertising to enterprises worldwide. We're fully remote within Europe, offering flexible work‑hours, transparent above‑market salaries, and continuous personal and professional development courses. You’ll enjoy a fast‑growing, highly‑skilled team, in‑person events, and allowances for home office or coworking spaces.

• Transparent, above‑market salaries.
• 100% remote within Europe.
• Flexible work‑hours.
• Part of a fast‑growing, highly‑skilled team.
• In‑person department and company events.
• Home‑office, coworking space, and work‑together allowance.
• Personal and professional development courses from Udemy.

Location & Eligibility

Please note that you need to be residing in and hold a work permit of a country in the European Union to be considered for this role.

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• IT Services and IT Consulting