We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.
You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.
Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.
We look for people who embody:
Innovation to solve the hardest problems.
Accountability for every result.
Integrity always.
Role overview
As a Principal Data Engineer, you will shape the intelligent systems of the future by building high-quality data foundations. You will be central to designing scalable pipelines and knowledge structures that power critical AI and ML-driven platforms. Your work will ensure that data is not just stored, but enriched and ready for advanced analytical reasoning.
As a Principal Data Engineer at Beyond, you’ll:
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Architect and implement scalable data pipelines for batch and real-time ingestion and processing.
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Build sophisticated transformations for attribute extraction, normalisation, and entity resolution.
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Develop knowledge infrastructure, including metadata layers, product graphs, and ontologies.
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Collaborate with domain experts to define taxonomies and classification schemas.
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Enforce data contracts and validation rules to ensure consistency and lineage across the organisation.
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Promote engineering best practices around testing, documentation, and observability for data workflows.
Things that will make you stand out:
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Mastery of Apache Beam, Dataflow, and Pub/Sub in a cloud-native environment.
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Expert knowledge of SQL, dbt, BigQuery, and distributed computing frameworks.
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Extensive experience building production-grade pipelines for large-scale data.
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Strong analytical thinking and the ability to collaborate across engineering, ML, and product teams.
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Proven track record of independently researching and applying new data technologies.
Nice to have:
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Background in building agentic systems or personalised recommendation engines.
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Experience with various data formats, including Avro and Protobuf.
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Google Cloud Professional Data Engineer certification.
What we want from you:
We are building a world-class delivery centre in Buenos Aires and want the best engineering talent in the region. We believe the best work happens when we collaborate in person. We expect a genuine effort to be present in the office one to two days a week when not on project work to help build our culture and engage in spontaneous problem-solving. Your energy and presence will be vital in making our studio a hub of creativity and innovation.
Benefits
We believe in supporting our team members both professionally and personally. Here's how we invest in you:
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Work from Home Allowance
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Private Medical Insurance for family group
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Birthday leave
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10 paid learning days per year
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Bonusly 100 points per month to recognise colleagues
