Data Engineer

Who We Are

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OpenMinds is a defence tech company solving the hardest problems in the domain of information warfare.

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Born from battlefield-tested experience in Ukraine, we now work with more than 30 governments and organisations across the globe, including NATO member states, leading defence and research institutions.

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Our team bridges advanced technologies with human expertise, combining machine learning, behavioural science, data journalism, strategic communications and regional expertise.

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We believe in speed as a core value, constantly experiment with new solutions, and encourage freedom and leadership in our team.

Who we're looking for
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OpenMinds is seeking a skilled and curious Data Engineer who’s excited to design and build data systems that power meaningful insight. You’ll work closely with a passionate team of behavioral scientists and ML engineers on creating a robust data infrastructure that supports everything from large-scale narrative tracking to sentiment analysis.
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In the position you will:
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— Take ownership of our multi-terabyte data infrastructure, from data ingestion and orchestration to transformation, storage, and lifecycle management

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— Collaborate with data scientists, analysts, ML engineers, and domain experts to develop impactful data solutions

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— Optimize and troubleshoot data infrastructure to ensure high performance, cost-efficiency, scalability, and resilience

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— Stay up-to-date with trends in data engineering and apply modern tools and practices

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— Define and implement best practices for data processing, storage, and governance

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— Translate complex requirements into efficient data workflows that support threat detection and response
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We are a perfect match if you have:
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— 5+ years of hands-on experience as a Data Engineer, with a proven track record of leading complex data projects from design to production

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— Highly skilled in SQL and Python for advanced data processing, pipeline development, and optimization

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— Deep understanding of software engineering best practices, including SOLID, error handling, observability, performance tuning, and modular architecture

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— Ability to write, test and deploy production-ready code

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— Extensive experience in database design, data modeling, and modern data warehousing, including ETL orchestration using Airflow or equivalent

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— Familiarity with Google Cloud Platform (GCP) and its data ecosystem (BigQuery, GCS, Pub/Sub, Cloud Run, Cloud Functions, Looker)
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— Open-headed, capable of coming up with creative solutions and adapting to frequently changing circumstances and technological advances
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— Experience in DevOps (docker/k8s, IaaC, CI/CD) and MLOps
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— Fluent in English with excellent communication and cross-functional collaboration skills

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We offer:

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— Professional development within a multidisciplinary team with backgrounds in academia, tech, and defence sector.

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— Competitive market salary with room for performance-based progression.

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— Work in a fast-growing company with proprietary AI technologies, solving the most complex problems in the domains of information resilience and national security.

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— Participation in Tier-1 international industry conferences, events, and closed briefings.

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— Flexible work arrangements — adjustable hours, location, and hybrid/remote options.

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— A work culture that values focus, speed, experimentation, strategic thinking, and elegance in the proposed solutions.