We are seeking for an Engineer to support AI and data initiatives by building and enhancing the data and analytics foundations that enable customer insights and GenAI-driven use cases. This role focuses on developing scalable data ingestion, transformation, taxonomy, and analytics capabilities that support dashboards, KPIs, trend analysis, and AI-assisted insight generation. The engineer works closely with analytics, engineering, and GenAI stakeholders to translate complex data into reliable, usable, and actionable insights.

Key Responsibilities:

Data & Analytics Enablement:

• Build and maintain datasets, metrics, and analytical views that support dashboards, KPIs, trend analyses, and drill-down reporting.
• Develop and refine semantic layers and metric definitions to ensure clarity, consistency, and usability across analytics products.
• Support data visualization and reporting solutions using tools such as Tableau or QuickSight.

Data Engineering & Pipelines:

• Design and implement automated data ingestion and transformation pipelines for structured and unstructured data sources.
• Support taxonomy alignment, labeling, and metadata enrichment to improve data discoverability and AI readiness.
• Build scalable data storage and transformation layers (e.g., data lakes, curated datasets, dbt-style models).
• Work closely with technical engineering teams to ensure ingestion correctness, pipeline stability, and data readiness.

GenAI & Agentic AI Enablement:

• Support integration of analytics pipelines with GenAI and Agentic AI components used for insight generation and exploration.
• Apply GenAI tools to enhance data analysis workflows, automate repetitive analytical tasks, and surface insights more efficiently.
• Assist in preparing datasets and metadata structures suitable for retrieval-augmented generation (RAG) and AI-driven analytics use cases.

Data Quality, Performance & Reliability:

• Apply data quality checks, validation logic, and monitoring practices to ensure accuracy and reliability of analytical outputs.
• Support optimization of data pipelines for performance, latency, and scalability.
• Contribute to documentation, data definitions, and usage guidance to improve transparency and adoption.
  
  

Collaboration & Problem Solving:

• Collaborate with analysts, GenAI specialists, quality teams, and business stakeholders to clarify requirements and deliver aligned solutions.
• Contribute to technical design discussions and solution reviews within cross-functional teams.
• Navigate ambiguous problem spaces with a structured, analytical, and solution-oriented approach.
  
  

Insight Generation & Business Alignment:

• Analyze complex datasets to identify the most relevant takeaways for the executive team.
• Apply critical thinking to validate whether analytical results align with expected business logic, operational realities and customer behavior.
• Translate business requirements and use cases into clear technical specifications, ensuring analytical workflows and data outputs address the underlying strategical needs.

Required Qualifications

• 2–4+ years of experience in data engineering, analytics engineering, backend engineering, or data analytics roles.
• Strong SQL skills and experience working with analytical datasets and metric development.
• Hands-on experience with ETL/ELT pipelines, data ingestion frameworks, and API-based integrations.
• Experience working with both structured and unstructured data.
• Familiarity with data visualization tools such as Tableau, QuickSight, or similar.
• Solid understanding of data modeling, data quality, and validation practices.

Preferred Qualifications

• Experience supporting or integrating GenAI or Agentic AI solutions within analytics or data platforms.
• Familiarity with cloud-based data architectures (AWS preferred).
• Experience with customer behavior analytics, usage metrics, or quality indicators.
• Exposure to metadata management, taxonomy design, or labeled datasets for AI use cases.

Core Skills & Attributes

• Strong analytical thinking and attention to detail in metrics definition and data interpretation.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Collaborative mindset with comfort working across teams and disciplines.
• Interest in applying GenAI tools to enhance analytics and data-driven decision-making.

What do we offer?

• Work on on globally deployed automotive navigation and mapping products 
• Collaboration with an experienced, international engineering organization 
• Truly international team of fantastic & talented people from 60+ countries worldwide, working from strong tech hubs located in Europe, the US, and Asia, along with multiple smaller locations
• Flexible working hours & a flexible approach to office vs. remote work
• Medical coverage for you and your family
• Yearly variable bonus

Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code.

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

Change is HERE. Apply Now.

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As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.