Senior Data Platform Engineer for AI Products & Pipelines

Storyful; Dublin; Hybrid; EUR 100,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Storyful is seeking a hands-on Senior Data Platform Engineer to design and build scalable data pipelines and AI product foundations in a Dublin hybrid environment. You will own ingestion, processing, storage and serving layers, collaborating with ML engineers, software teams and product managers to turn raw data into trusted product capabilities.

You will contribute code, set engineering standards, and mentor others while delivering reliable, observable data platforms across multiple content

Qualifications

• Strong experience in data engineering or platform engineering in production environments.
• Excellent Python skills and solid SQL fundamentals.
• Experience building reliable ingestion and transformation pipelines at scale.
• Strong understanding of data modeling across structured and unstructured datasets.
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, Temporal, or equivalent.
• Strong cloud engineering experience in AWS, GCP, or Azure, with clear transferability across platforms.
• Experience with infrastructure as code and modern deployment practices.
• Experience with distributed systems, event-driven patterns, and data-intensive applications.
• Familiarity with search, vector, or retrieval systems used in AI-backed products.

Responsibilities

• Design and build scalable batch and streaming pipelines for structured, semi-structured, and unstructured data.
• Own the ingestion and processing architecture for documents, text, metadata, and other content sources.
• Build robust data workflows for parsing, chunking, enrichment, indexing, and retrieval.
• Create the platform foundations for AI products, including orchestration, data quality, observability, lineage, and cost-aware processing.
• Design storage patterns across object stores, relational databases, search/vector systems, and where appropriate graph or knowledge-based systems.
• Partner with ML and product engineering to productionise AI features, agentic workflows, and retrieval-backed user experiences.
• Define data contracts, schema evolution practices, and quality controls across services and teams.
• Improve reliability, freshness, and traceability of pipelines that feed customer-facing products.
• Contribute hands-on code while helping set engineering standards and mentoring other engineers.

Skills

Python

SQL

Data ingestion

Data modeling

Distributed systems

AI infrastructure

Retrieval systems

Knowledge graphs

Cloud platforms

CI/CD / IaC

Tools

Airflow

Dagster

Prefect

Temporal

AWS

GCP

Azure

Job description

Storyful is seeking a hands-on Senior Data Platform Engineer to design and build scalable data pipelines and AI product foundations in a Dublin hybrid environment. You will own ingestion, processing, storage and serving layers, collaborating with ML engineers, software teams and product managers to turn raw data into trusted product capabilities.

You will contribute code, set engineering standards, and mentor others while delivering reliable, observable data platforms across multiple content