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Senior Data Engineer (f/m/d)

Added
13 days ago
Location
Type
Full time
Salary
Not Specified

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About us

What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade - creating a seamless and efficient logistics process.  

About the role

As a Senior Data Engineer, you will play a key role in building, maintaining, and scaling Forto’s modern cloud-based data infrastructure. You’ll support and empower stakeholders across the company as we advance toward globally scaled, highly automated, and data-driven operations.

Our current data stack includes:

  • BigQuery for data warehousing

  • Google Cloud Pub/Sub for ingestion

  • dbt for data transformation

  • Apache Airflow (on Composer) for orchestration

  • Python for scripting

  • Monte Carlo and Datadog for observability

Key Responsibilities

  • Design, build, and maintain scalable and reliable data systems to support Forto’s innovation in the logistics space

  • Collaborate in cross-functional teams — including Software Engineering, Analytics, and Product — to deliver impactful Data Products

  • Drive the adoption of robust, high-throughput data processing architectures

  • Partner with stakeholders to foster a strong data-driven culture

  • Manage and optimize GCP infrastructure, including CI/CD workflows, Terraform, and container orchestration

  • Contribute to the evolution of our DevOps and data engineering best practices

Required Skills and Experience

  • Expert-level proficiency in Python, with strong familiarity with data processing libraries, testing strategies, and best practices

  • Strong SQL skills, especially with BigQuery, and experience across modern data platforms

  • Proven experience building and maintaining large-scale pipelines using Apache Airflow, Docker, and Kubernetes

  • Practical interest in AI/LLM engineering, such as RAG, fine-tuning, prompt engineering, or LLMOps

  • A growth mindset and a desire to continuously learn and evolve with the data engineering space

  • Experience in cross-functional environments, and comfort participating in architectural discussions, stakeholder sessions, and collaborative working models (pair/mob sessions)

  • Fluency in English (written and spoken)

  • Willingness to work in a hybrid setup with 2+ days/week in our office

Don’t fit all of our criteria? That’s okay! We know that you might be hesitant to apply if you don’t meet all our requirements, but here at Forto, we pride ourselves on embracing diverse perspectives and celebrating potential. If you are passionate about this position and the Forto values, please apply anyway. There could be a place for you in this role - or another one that’s a perfect fit! 


Why work with us?

Our team is hard-working, constantly seeking to maximise the impact of their work, but we put our people first, always winning with care. We value efficient systems and swift, direct communication. We want everyone to have their time to speak, so that we can embrace diverse perspectives to help drive towards solutions always.

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