AI Data Engineer
AI Data Engineer
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Job Description
Omio is rapidly driving our transformation to being an AI-first company. This touches every aspect of how our products work how we integrate with our suppliers and how we work internally to optimise our teams for quality delivery at speed.
Sitting within our data architecture and engineering team this role will take the lead on our internal focus charting the course and delivering the technology to integrate our many business systems into an integrated whole and providing new agentic workflows to streamline and even completely re-invent our business processes.
Key Responsibilities
Lead on the design and implementation of data models and semantics to drive a scalable performant platform for AI applications and our internal business processes.
Contribute to the evolution of our core AI Models in conjunction with our AI Engineering team.
Establish effective agentic integrations with upstream data providers including effective prompt engineering and interpretation / disaggregation.
Collaborate with data scientists business analysts and other stakeholders to understand analytics requirements and translate them into technical solutions.
Implement ETL processes to extract transform and load data from diverse sources into our data warehouse.
Provide technical expertise and guidance to junior members of the analytics engineering team.
Stay up to date on industry best practices and emerging technologies in analytics and data engineering.
Communicate complex technical concepts and insights to both technical and non-technical stakeholders.
Our technology stack:
ChatGPT Gemini Claude
GCP (BigQuery GCS PubSub DataProc etc)
Spark
Airflow dbt
Looker
Terraform
Java Scala Python
Docker k8s
Qualifications :
Skills and experience
Demonstrated experience in implementing AI agents for business productivity and also commercial applications across a range of technologies and use-cases.
Strong data engineering fundamentals
Data engines
Data models
SQL
Pipeline development (e.g. Airflow dbt)
Solid understanding of machine learning concepts including supervised unsupervised and reinforcement learning paradigms with hands-on experience in enabling them through scalable data and orchestration pipelines.
Experience integrating LLMs with context retrieval systems (e.g. RAG pipelines using vector databases or semantic search tools).
Familiarity with open-source AI tools like LangChain LLM orchestration frameworks embedding stores or LLM Ops platforms.
Strong programming in Python (with libraries like scikit-learn transformers LangChain or Ray RLlib).
Keen communication skills and the ability to address technical and non-technical audiences.
5 years experience as an Analytics Engineer or related functions
2 years experience working specifically with AI applications.
Experience in large-scale data processing. You have queried tables with hundreds of Terabytes before and know your way in writing the most effective queries.
Strong expertise in cloud-based data warehouses like Google BigQuery
Fluency in English verbal and written skills
Additional Information :
Learn more about Omio Engineering and our Team:
at Omio we know that no two people are alike and thats a great thing. Diversity in culture thought and background has been key to growing our product beyond borders to reach millions of users from all over the world. Thats why we believe in giving equal opportunity to all regardless of race gender religion sexual orientation age or disability.
Hiring process and background checks
At Omio we work in partnership with Giant Screening once a job offer has been accepted Giant will be engaged to carry out background screening. Giant will reach out to you via email and occasionally via telephone/text message so that they can gather all relevant information required. Consent will be requested prior to any information being passed to our services company.Whats in it for you #LifeatOmio
Omio encourage you to apply even if youre still developing some of these skills! We value diversity and welcome all applicants regardless of ethnicity religion national origin sexual orientation gender identity age or disability.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
