21 час назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI) (Python/SQL/AWS/Snowflake): Designing data platforms, resilient pipelines, high-performance APIs, and data products for an agentic maritime operations platform with an accent on data modelling, streaming at scale, and data quality. Focus on applying time-series analysis to weather and sensor data, evaluating external data providers, and building reliable foundations for AI agents and customer-facing insights.
Location: Copenhagen, Denmark — onsite
Company
develops digital solutions for maritime operations that use trusted data and advanced technology to reduce emissions and make global trade more sustainable.
What you will do
- Design and evolve the data platform for agentic maritime products, including freshness, cost, cataloguing, governance, lineage, and quality monitoring.
- Build resilient batch and streaming pipelines with orchestration, idempotency, backfills, late-arriving data handling, and immutable raw data capture.
- Develop rigorous entity and relational data models using expert SQL across warehouses, lakes, and distributed processing environments.
- Design high-performance APIs with reliable contracts and response fields for provenance, freshness, and confidence.
- Apply time-series analysis, interpolation, extrapolation, uncertainty analysis, and clustering to weather and sensor data.
- Evaluate external data providers and collaborate with product teams, data scientists, and provider engineering teams to deliver customer value.
Requirements
- Senior-level data engineering experience with strong engineering fundamentals.
- Expert SQL and experience with Python-based data systems.
- Experience designing scalable batch and streaming pipelines, data models, APIs, and distributed data processing solutions.
- Understanding of data quality, freshness, lineage, schemas, feature management, data drift, and training-serving skew.
- Ability to reason about units, time zones, rounding, uncertainty, and confidence when analysing imperfect data.
- Ability to work end-to-end with product stakeholders and explain data issues to non-technical audiences.
Nice to have
- Maritime knowledge.
- Model training experience.
- Geospatial experience.
Culture & Benefits
- Collaborative work with a diverse team of more than 550 professionals representing over 38 nationalities.
- Emphasis on growth, inclusion, honesty, trust, and collaboration.
- Opportunity to contribute to reducing maritime emissions and supporting sustainable global trade.
- Full-time onsite work in Copenhagen.
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