Lead AI Data Engineer
HERE Technologies3 months ago
Brno, Czechia +3 moreStaff+
Responsibilities
- Design, build, and maintain scalable data pipelines supporting 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.
- Implement architectures for agentic workflows, Retrieval-Augmented Generation, semantic search, and AI-driven automation.
- Establish standardized patterns for structured and unstructured data ingestion, transformation, and access.
- Identify and resolve data quality, consistency, lineage, ownership, metadata, and governance issues.
- Implement monitoring, validation, and observability mechanisms for reliable data operations.
- Partner with Security, Privacy, Governance, business, technology, and data teams to support compliant AI deployments.
- Influence platform and application owners to adopt AI-friendly data practices and contribute to AI Center of Excellence strategy.
Requirements
- Bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
- At least 5 years of experience in data engineering, integration engineering, or data platform development.
- Experience designing and building enterprise-scale data pipelines with modern cloud and data platform technologies.
- Strong understanding of data modeling, ETL/ELT processes, APIs, event-driven architectures, and data integration patterns.
- Experience working with structured and unstructured data sources.
- Proficiency with SQL and at least one of Python, Java, or Scala.
- Experience with AWS and Kubernetes.
- Experience supporting AI, machine learning, generative AI, or agentic AI solutions.
- Familiarity with vector databases, embeddings, semantic search, and RAG architectures.
- Experience with data governance, metadata management, data catalogs, and data lineage tools.
- Understanding of data privacy, security, and responsible AI principles.
- Experience with orchestration and integration tools such as Airflow, Databricks, Snowflake, Azure Data Factory, or Kafka.
- Experience building enterprise APIs and reusable data services.
- Knowledge of M365 Copilot, Copilot Studio, Azure AI Foundry, AWS Bedrock, or similar AI ecosystems.
- Strong problem-solving, systems-thinking, communication, collaboration, and organizational influence skills.
Benefits
- Hybrid work model with flexible working hours.
- Competitive salary plus bonus.
- Paid vacation days and medical coverage for employees and their families in Poland.
- Opportunities for learning and development through company hackathons, technical talks, and training.
- Regular feedback, work-life balance, collaborative colleagues, team events, and brown bag talks.
- Eligibility for the Creative Tax Incentive scheme in Poland.
- Option to work on a B2B contract in Poland; benefits, bonus, and KUP do not apply under this arrangement.
Tech Stack
Categories
Data Engineering
About HERE Technologies
HERE Technologies builds a location data and mapping platform used by automakers, logistics providers, and enterprises to power navigation, routing, and geospatial analytics. It sells map data, APIs/SDKs, and platform services for fleet, mobility, and supply-chain applications. The company traces its roots to Navteq (founded 1985) and Nokia Maps, and is privately held with headquarters in Eindhoven, Netherlands.