AI Data Engineer — Scalable, Trusted AI Data Platforms

Here; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid model of work

Paid vacation days

Medical coverage for you and your team

Job summary

HERE Technologies seeks an experienced AI Data Engineer to prepare HERE data for AI-ready use across the CoE portfolio, building scalable pipelines, connectors, data products and governed access patterns that enable AI solutions to operate on trusted information.

You will work across enterprise systems to resolve data quality, fragmentation, metadata, and access challenges, ensuring data foundations are reliable, secure, and accessible for production deployments at scale.

Qualifications

• Bachelor's/Master's in CS, IS, data eng or related field.
• 5+ years in data engineering, integration engineering, or data platform development.
• Experience designing enterprise-scale data pipelines with cloud tech.
• Strong data modeling, ETL/ELT, APIs, event-driven architectures, and data integration patterns.
• Experience with structured and unstructured data sources.
• Proficiency in SQL and one of Python/Java/Scala.
• Experience with AWS and Kubernetes.
• Knowledge of data governance, metadata management, data catalogs, and data lineage tools.

Responsibilities

• Build scalable data pipelines to support AI, ML, generative AI, and agent-based solutions.
• Develop connectors and integrations across enterprise apps, databases, SaaS, APIs, knowledge repositories.
• Create reusable data services and data products to accelerate AI use case delivery.
• Ensure AI systems access high-quality, trusted information through robust retrieval and integration patterns.
• Collaborate with AI Solution Architects, Data Scientists, and stakeholders to define data requirements.
• Design architectures supporting RAG, semantic search, and AI-driven automation.
• Establish standardized patterns for data ingestion, transformation, and access.
• Support transition of AI solutions from pilots to enterprise production deployments.
• Identify data quality issues and implement governance, metadata standards.

Skills

SQL

Python

Java

Scala

Data modeling

ETL/ELT

APIs

AI/ML data pipelines

Distributed systems

Education

Bachelor's/Master's in Computer Science, Information Systems, Data Engineering, Software Engineering

Tools

AWS cloud platform

Kubernetes

Airflow

Databricks

Snowflake

Azure Data Factory

Kafka

Job description

HERE Technologies seeks an experienced AI Data Engineer to prepare HERE data for AI-ready use across the CoE portfolio, building scalable pipelines, connectors, data products and governed access patterns that enable AI solutions to operate on trusted information.

You will work across enterprise systems to resolve data quality, fragmentation, metadata, and access challenges, ensuring data foundations are reliable, secure, and accessible for production deployments at scale.