Data Engineer

Who We Are

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OpenMinds is a cognitive defence tech company countering authoritarian influence.

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We’re one of the fastest-growing teams in the field, powered by proprietary machine learning tools and a proven track record in some of the most critical operations strengthening informational resilience, particularly against Russian aggression.

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Today, we work with over 30 defence and diplomatic institutions across NATO and allied states. Our expertise lies in accessing restricted and high-risk environments, including conflict zones and closed platforms.

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We’re scaling fast to help democracies build resilience in the face of a new arms race in cognitive warfare. Join us to shape the future of defence, with real-world impact and a team that’s leading the way.

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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— Work in a fast-growing company with proprietary AI technologies, solving the most difficult problems in the domains of social behaviour analytics and national security

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— Competitive market salary

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— Work face-to-face with world-leading experts in their fields, who are our partners and friends

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

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— Unlimited vacation and leave policies

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— Opportunities for professional development within a multidisciplinary team, boasting experience from academia, tech, and intelligence sectors

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— A work culture that values resourcefulness, proactivity, and independence, with a firm stance against micromanagement

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