About this role
What's the role?
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 supporting dashboards, KPIs, trend analyses, and drill-down reportingDevelop and refine semantic layers and metric definitions to ensure clarity, consistency, and usability across analytics productsSupport data visualization and reporting in tools such as Tableau or QuickSightData Engineering & Pipelines
Design and implement automated data ingestion and transformation pipelines for structured and unstructured data sourcesSupport taxonomy alignment, labeling, and metadata enrichment to improve discoverability and AI readinessBuild scalable data storage and transformation layers, including curated datasets and dbt-style modelsWork closely with engineering teams to ensure ingestion correctness, pipeline stability, and data readinessGenAI & Agentic AI Enablement
Support integration of analytics pipelines with GenAI and Agentic AI components used for insight generation and explorationApply GenAI tools to improve analytical workflows, automate repetitive tasks, and surface insights more efficientlyHelp prepare datasets and metadata for RAG and AI-driven analytics use casesData Quality, Performance & Reliability
Apply data quality checks, validation logic, and monitoring to ensure accuracy and reliability of analytical outputsSupport optimization of data pipelines for performance, latency, and scalabilityContribute to documentation, data definitions, and usage guidanceCollaboration & Problem Solving
Collaborate with analysts, GenAI specialists, quality teams, and business stakeholders to deliver aligned solutionsContribute to technical design discussions and solution reviewsNavigate ambiguous problem spaces with a structured and solution-oriented approachInsight Generation & Business Alignment
Analyze complex datasets to identify relevant takeaways for the executive teamValidate whether analytical results align with business logic, operational realities, and customer behaviorTranslate business requirements into clear technical specifications so analytical workflows and data outputs support underlying strategic needs
Who are you?
3+ 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.Nice to have
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 locationsFlexible working hours & a flexible approach to office vs. remote workMedical coverage for you and your familyYearly 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.
Who are we?
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.
#LI-NK3 #LI-HYBRID
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.