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Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world.

4flow develops and implements lean, agile and sustainable supply chain strategies that enhance operational efficiency and drive cost savings for businesses worldwide. Their clients span across multiple high-impact industries including vehicle manufacturers and suppliers, consumer goods and retail, industrial machinery manufacturers, medical technology, basic materials, spare parts, renewable energy, high‑tech and telecommunications, and logistics service providers (LSP).

As a Lead Data Engineer, you will architect and lead the development of enterprise‑scale data infrastructure. You will guide technical strategy, mentor engineers, and ensure the delivery of high‑quality, scalable data solutions.

Tasks

Architect and lead the development of robust data pipelines, ETL systems, and data warehouses
Write and review high‑quality code in Python and SQL
Manage and optimize infrastructure on AWS, Azure, or GCP
Lead the implementation of data orchestration using Airflow or DBT
Collaborate with engineering, analytics, and product teams to align data strategy with business goals
Drive adoption of best practices in data architecture, performance tuning, and automation
Mentor team members and promote a culture of technical excellence

Professional Requirements and Expertise

6+ years of experience in data engineering
Bachelor’s or master’s degree in computer science, Data Engineering, or a related quantitative discipline
Deep expertise in data warehousing, Python, SQL, ETL/data pipelines, and cloud platforms
Strong experience with Airflow or DBT for orchestration

Good to Have

Knowledge of Docker, serverless technologies, data architecture, Spark, NoSQL, and CI/CD

Personal Skills

Visionary and hands‑on technical leader
Strong mentoring and team development capabilities
Strategic thinker with a proactive mindset
Ability to work independently and collaboratively within cross‑functional teams
Genuine motivation to contribute to 4flow’s success and align with company culture and values

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Engineering

Industries

Transportation, Logistics, Supply Chain and Storage

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ANSR Inc.

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Lead Data Engineer [T500-21385]

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