Hybrid AI Data Engineer for Scalable Data Foundations

Here; Kraków; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary plus bonus

Medical coverage for you and your in-?

Paid vacation days

Great work-life balance

Flexible working hours

Diverse team across 60+ countries

Job summary

HERE Technologies seeks a strong AI Data Engineer to make HERE data AI-ready for the CoE portfolio, building pipelines, integrations, data products, and governed access. The role spans enterprise systems, platforms, and business domains to resolve data quality, fragmentation, metadata, and access challenges to scale AI deployments.

The AI Center of Excellence focuses on transforming data readiness into measurable organizational capabilities, ensuring reliable, secure, and accessible information

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field.
• 5+ years of experience in data engineering, integration engineering, or data platform development.
• Experience designing and building enterprise-scale data pipelines using modern cloud and data platform technologies.
• Strong understanding of data modeling, ETL/ELT processes, APIs, event-driven architectures, and data integration patterns.
• Experience with structured and unstructured data sources.
• Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
• Experience with AWS cloud platform and Kubernetes.

Responsibilities

• Design, build, and maintain scalable data pipelines that support AI, machine learning, generative AI, and agent-based solutions.
• Develop connectors and integrations across enterprise applications, databases, SaaS platforms, APIs, and knowledge repositories.
• Create reusable data services and data products that accelerate AI use case delivery across the company.
• Ensure AI systems can access high-quality, current, and trusted information through robust retrieval and integration patterns.
• Partner with AI Solution Architects, Data Scientists, Product Owners, and Business Stakeholders to understand data requirements for AI use cases.
• Design and implement architectures supporting agentic workflows, Retrieval-Augmented Generation (RAG), semantic search, and AI-driven automation.
• Establish standardized patterns for structured and unstructured data ingestion, transformation, and access.
• Support the transition of AI solutions from pilot initiatives to enterprise-scale production deployments.

Skills

SQL

Python

Java

Scala

AWS

Kubernetes

Airflow

Databricks

Snowflake

Azure Data Factory

Kafka

APIs

Data Governance

Vector databases

Embeddings

Semantic search

RAG

Data modeling

Education

Bachelor's/Master's degree in CS/IS/Data Engineering

Tools

Airflow

Databricks

Snowflake

Azure Data Factory

Kafka

Job description

HERE Technologies seeks a strong AI Data Engineer to make HERE data AI-ready for the CoE portfolio, building pipelines, integrations, data products, and governed access. The role spans enterprise systems, platforms, and business domains to resolve data quality, fragmentation, metadata, and access challenges to scale AI deployments.

The AI Center of Excellence focuses on transforming data readiness into measurable organizational capabilities, ensuring reliable, secure, and accessible information