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

F11; Köln; Remote; EUR 75.000 - 95.000; Vollzeit

Benefits dieser Stelle

Transparent, above-market salaries

Flexible work hours

Personal development courses

Home office allowance

Zusammenfassung

A leading ad-tech company is seeking a Senior Data Engineer to shape and scale its open lakehouse data platform. The role involves end-to-end design and development of robust data pipelines in a fully remote setup. Ideal candidates should have over 5 years of experience with Snowflake, Apache Iceberg, and dbt, along with strong SQL and Python skills. The company offers above-market salaries, flexible work hours, and development opportunities, making it an attractive workplace for data professionals seeking innovation in digital advertising.

Qualifikationen

• 5+ years in data engineering with experience in open lakehouses.
• Strong production track record with dbt and complex models.
• Excellent communication skills to distil complex topics.

Aufgaben

• Design and maintain scalable data pipelines and architectures.
• Implement ETL/ELT processes ensuring data accuracy.
• Mentor data engineers and foster teamwork.

Kenntnisse

Open lakehouse architectures

Production experience with dbt

Advanced SQL

Python

Tools

Snowflake

Apache Iceberg

AWS Cloud Platform

Terraform

Apache Kafka

Jobbeschreibung

Senior Data Engineer – Full‑time – Mid‑Senior level

Location: Cologne, North Rhine‑Westphalia, Germany.

Overview

We are 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. You’ll ship hands‑on, lead technical design, run code reviews, and mentor others in modern data engineering practices.

Key Skills Required

• Deep expertise in open lakehouse architectures – Snowflake as compute + Apache Iceberg on cloud object storage.
• Hands‑on production experience with:
• Iceberg catalog management (Apache 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, and CI/CD integration using dbt Core + Snowflake/Iceberg adapters.

Highly Desired Skills

• Experience working with AWS Cloud Platform.
• DataOps / IaC (Terraform, dbt Cloud).
• Real‑time streaming (Apache Kafka/Flink, AWS Kinesis).

Responsibilities

• 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.

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 – you distil 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.

Benefits

Factor Eleven’s tech department is the in‑house tech scale‑up responsible for our SaaS product suite offering localized digital advertising to enterprises of all sizes and shapes. We’re powering the engine that Factor Eleven is built upon and continually lift the possibilities of our product. We’re working together to fulfill our ambitions as a top ad‑tech provider by continuously improving quality and expanding capabilities across the entire platform, as well as our engineering and product organization.

Join our amazing team in our mission to move digital localized advertisement forward and enjoy the freedom, camaraderie, and perks of our fully remote operations.

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

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.