Ai / Analytics Engineer Job at Beretta Clima Italia (Monterrey)

New

Senior Supply Chain AI & Analytics Engineer

In this highly visible role, you will help architect, develop, and operationaliz...

Location

United States , Austin

Salary:

116000.00 - 174000.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expertise in Python and/or R, with hands‑on experience building and deploying AI/ML models, generative solutions, or AI agents that automate insights, recommendations, or actions
Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar search/NLQ analytics tools
Demonstrated ability to architect scalable data and analytics solutions, integrating models, pipelines, and AI agents with enterprise platforms and supply chain systems
Background applying analytics, AI, or data science within planning, logistics, inventory, network optimization, S&OP, or other supply‑chain‑relevant workflows
Experience with feature engineering, production pipelines, and deploying models/agents into repeatable, maintainable operating environments
Knowledge of optimization techniques (linear programming, heuristics) and experience integrating analytics with ERP systems such as SAP
Exposure to LLMs, prompt engineering, and enterprise agent frameworks, with the ability to design solutions that are explainable and user‑friendly
Ability to work effectively in global teams, manage shifting priorities, collaborate across functions, and communicate clearly with leadership and technical partners
Bachelor's or master's degree in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field

Job Responsibility

Design, build, and deploy AI/ML models and advanced analytics that improve planning, inventory, logistics, network optimization, and S&OP, while architecting scalable data and analytics solutions that integrate seamlessly with enterprise platforms and supply chain systems
Develop and operationalize AI agents that continuously monitor supply chain signals, surface proactive insights, recommend actions, and automate decision workflows to enable a more autonomous supply chain environment
Translate ambiguous and complex supply chain problems into structured, data-driven solutions by performing exploratory analysis, scenario modeling, root‑cause investigations, and optimization across large datasets
Create high‑quality dashboards, semantic models, and KPI frameworks in Power BI
enable search‑driven and natural‑language analytics through ThoughtSpot
and establish best practices for visualization and data storytelling
Partner closely with data engineering teams to ensure reliable, well‑modeled datasets, while supporting pipeline development, feature engineering, and model deployment to production with an emphasis on scalability, explainability, and maintainability
Collaborate across Supply Chain, IT, and Transformation teams to align analytics initiatives with business priorities
communicate insights effectively to technical and non‑technical audiences
mentor junior contributors

Fulltime

Ai Analytics Engineer

We are seeking an experienced Analytics Engineer with strong Qlik expertise to d...

Location

United States , Philadelphia

Salary:

65.00 - 80.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Bachelor's degree
5+ years of experience in data analytics, business intelligence, or analytics engineering roles
Strong hands-on experience with Qlik Sense and/or QlikView development
Experience with data modeling, ETL processes, and SQL-based data environments
Understanding of data quality, data governance, and enterprise data practices
Experience working in data integration and enterprise data environments
Familiarity with cloud platforms, preferably AWS
Experience with scripting or programming languages such as Python or PowerShell
Exposure to AI/ML concepts, augmented analytics, or predictive modeling
Experience building or supporting semantic or metrics layers

Job Responsibility

Design and deliver next-generation, AI-driven analytics solutions
Build intelligent, contextual, and conversational analytics experiences
Partner with business and data teams to transform requirements into scalable dashboards, semantic data models, and predictive insights

Senior AI Analytics Engineer

This role is a hybrid position with the expectation to work onsite (3) three day...

Location

United States , Boise, Idaho or Plano, Texas

Salary:

Not provided

Ericsson

Expiration Date

Until further notice

Requirements

Advanced SQL and Python -- you are comfortable writing complex queries and scripts from scratch
Hands-on experience building and owning ELT/ETL pipelines end-to-end
dbt (data build tool) for data transformation and modeling
Fivetran or equivalent ELT platform
Snowflake or a comparable cloud data warehouse
Proven ability to work autonomously with minimal technical oversight
Self-starter mentality -- you identify problems and solve them without waiting to be asked

Job Responsibility

Design, build, and maintain ELT pipelines that move data from finance source systems into Snowflake
Develop and own dbt models that transform raw data into clean, reliable, business-ready datasets
Integrate new finance data sources
Ensure data quality, reliability, and governance across the finance data layer
Support and expand Crystal, our Finance AI Agent, by building the data foundation it depends on
Collaborate with the Analytics Engineer to align on data modeling standards and best practices
Identify data pipeline gaps and proactively resolve them without being directed to
Contribute to the team's data infrastructure roadmap and technical decision-making

What we offer

subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution
401(k) plan has a 4% company match and immediate vesting
company-paid employee basic life and AD&D insurance and company-paid disability benefits
minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually
up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay
comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off

Fulltime

Senior Data Analytics & AI Engineer

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating ...

Location

Ireland , Dublin

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 6+ years)
Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred)
Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools
Proficiency with dbt or similar transformation frameworks
Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices
Solid experience with Git/GitHub workflows, including branching strategies and collaborative development
Experience building and maintaining CI/CD pipelines in GitHub Actions, including automated testing and secure deployments
Ability to operate across both analytics engineering and data engineering responsibilities
Experience with cloud platforms such as AWS or GCP

Job Responsibility

Design data and AI products and applications consisting of system integrations, data model transformations and user interfaces while aligning with engineering best practices across teams
Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies while considering automation, observability, and resilient design patterns
Design high-quality Snowflake/dbt models, implement governance and testing standards, and mentoring less experienced engineers in scalable modeling and system design
Collaborate cross-functionally with product, engineering, and data science to shape impactful, scalable solutions
Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures

What we offer

Bonus plan
Working from home flexibility
Referral bonus
Preferred shareholding programme
Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
Internal career opportunity

Fulltime

Senior Fullstack Engineer - AI & Analytics

Our mission – and your opportunity – is to help solve the challenges faced in an...

Location

Australia , Sydney

Salary:

Not provided

SafetyCulture

Expiration Date

Until further notice

Requirements

Proven experience delivering high-quality solutions across both backend and frontend systems
Deep expertise in modern web frameworks, API design, and scalable distributed systems—ideally using Go and React
A strong track record of delivering impactful features end-to-end, balancing usability, performance and maintainability, while contributing to estimation, planning within cross-functional collaboration
Strong communication and interpersonal skills, a growth mindset with a focus on continuous improvement, both in your work and in uplifting team performance through actions or feedback
A commitment to delivering quality solutions that meet customer needs and align with business goals

Job Responsibility

Design, build, and operate full-stack SaaS systems, including scalable APIs, secure data flows, and responsive, performant UIs
Own feature delivery end-to-end, including breaking down requirements, providing accurate time estimates, and actively contributing to planning and team discussions
Lead architectural decisions across client and server codebases, ensuring scalability, maintainability, and performance
Champion engineering excellence, mentor other engineers, and drive continuous improvement in tooling, testing, and developer experience
Apply a practical understanding of AI technologies, identifying opportunities to leverage machine learning or automation to enhance user experience or platform capabilities
Drive high-performance team outcomes by setting rigorous engineering standards, mentoring peers, and proactively improving team practices to enhance quality, velocity, and collaboration
Work in a hybrid working environment, including at our HQ based in Surry Hills, Sydney
Demonstrate SafetyCulture’s values: Think Customer, Open Honest Always, Better as a Team, Be Bold Bring Action

What we offer

Equity with high growth potential, and a competitive salary
Access to professional and personal training and development opportunities
Participation in hackathons, workshops, and lunch & learn sessions
Community involvement, open source work, attending talks and events, and experimenting with new technologies

Fulltime

Analytics Engineer I - AI & Data Enablement

We are looking for an Analytics Engineer I to join Data Enablement, our team foc...

Location

Spain , Barcelona

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

1-2 years of experience in Analytics Engineering, Data Analytics, Data Engineering, BI, Computer Science, Engineering, Mathematics, Statistics or a related field
Strong foundational knowledge of SQL, including joins, aggregations, filtering, date logic and basic query debugging
Basic understanding of data modelling concepts such as fact tables, dimensions, entities, joins, granularity and data quality
Proficiency in Python or another programming language for data work, automation or analysis
Hands-on experience with Git or similar collaborative software development practices
Above-average AI literacy: practical experience using AI or GenAI tools for coding, analysis, documentation, exploration or productivity
Clear understanding that AI-generated outputs need to be reviewed, validated and used responsibly
Interest in modern data stack tools such as BigQuery, dbt, Looker or similar technologies
Strong analytical thinking and problem-solving mindset
Ability to communicate clearly with both technical and non-technical stakeholders

Job Responsibility

Support the development of reliable datasets, data models and analytical assets used by business and technical teams
Work with more senior engineers to understand business requirements and translate them into simple, well-defined data solutions
Write, test and maintain SQL transformations with a strong focus on quality, readability and documentation
Help validate data outputs and ensure they are accurate, understandable and fit for purpose
Apply your existing AI literacy to real Analytics Engineering use cases, including prompt design, context grounding, hallucination risks, human validation and responsible AI usage
Contribute to internal knowledge bases, documentation and best practices that help teams use data and AI-enabled tools safely
Collaborate with stakeholders to understand repetitive pain points, manual processes and opportunities where better data products can improve decision-making
Learn and apply engineering best practices around version control, testing, monitoring, data quality and access control
Grow into an autonomous Analytics Engineer capable of owning small data products and contributing to AI-enabled data initiatives

What we offer

An enticing equity plan (dependent on level) that lets you own a piece of the action
Top-notch private health insurance to keep you at your peak
Monthly Glovo credit to satisfy your cravings
Discounts on transportation, food, and even kindergarten expenses
Wellhub membership to keep you energised
Flexible time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year
Enhanced parental leave, and office-based nursery
Online therapy and wellbeing benefits to ensure your mental well-being
An external learning budget to fuel your thirst for knowledge and personal growth

Fulltime

Data engineer AI and Analytics - Vice president

We are seeking a highly skilled and forward-thinking Vice President to lead our ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of technology experience, with a significant track record in wealth management technology at leading financial institutions
Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server)
Extensive experience with analytical data platforms, data warehousing, and data lakes (e.g., Snowflake, BigQuery, Redshift, Hadoop ecosystem)
Hands-on experience with the data engineering aspects of AI/ML, including feature engineering, data preparation for model training, and deploying models into production pipelines. Familiarity with MLOps principles
Proven track record of designing, building, and operating mission-critical, real-time RESTful APIs at scale
Strong data modeling skills for both transactional and analytical use cases
Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
Proven ability to lead, mentor, and manage a high-performing engineering team
A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
The ability to maintain a holistic, end-to-end view of a complex data ecosystem, understanding the flow of data from real-time transaction to analytical insight

Job Responsibility

Unified Data Platform Ownership:Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the unified client and account data platform, encompassing both high-throughput OLTP systems and large-scale OLAP analytical stores
AI & Advanced Analytics Enablement:Pioneer the application of AI/ML models on core client and account data to generate actionable insights, identify patterns, and create intelligent features for advisor and client applications. Partner with data science teams to provide them with high-quality, curated data
Real-Time API Management:Oversee the entire lifecycle of the high-throughput, low-latency APIs that provide real-time data to advisor workstations, client-facing portals, and other critical applications, ensuring they are performant, reliable, and secure
Data Integrity & Scale:Take ultimate responsibility for the integrity, availability, and performance of massive volumes of data across both transactional and analytical systems
Measurement & Analytics:Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, from database performance and API latency to data quality and the efficacy of AI models
End-to-End Ecosystem View:Serve as the subject matter expert for the entire client and account data ecosystem, from the foundational OLTP databases and real-time APIs to the analytical data warehouses/lakes and the AI/ML models they feed
Technical Strategy:Partner with global architects and business leaders to define the technical roadmap for the core data platforms, including strategies for data replication, ETL/ELT processes, and the integration of AI/ML capabilities

Fulltime

AI Engineer for the Analytics Plateau

Airbus Defence and Space is looking for a skilled and innovative AI Integration ...

Location

Germany , Manching

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

B.Sc. or M.Sc. in Computer Science, Artificial Intelligence, Data Science, or a related field
Proven experience in AI engineering, with a focus on integrating and developing LLMs and NLP solutions
Strong programming skills in Python and familiarity with other relevant languages
Excellent problem-solving skills and the ability to work in a team environment
Proficiency in English
Strong Python software development skills, including code quality, testing, debugging, and modular design
Deep understanding of LLMs, their limitations, constraints, and the ability to design agentic workflows
Proficiency in LLM tool interfaces and understanding of how models interact with external systems
Experience with AI model integration, deployment, and monitoring in production environments
Familiarity with classic NLP techniques and tools, such as spaCy, for hybrid or deterministic components

Job Responsibility

Integrate Python-based components and LLMs into on-premise applications in restricted environments
Design and implement LLM tool interfaces, such as function-calling schemas, tool adapters, or emerging protocols like MCP
Collaborate with cross-functional teams to ensure seamless integration of AI components into existing systems
Develop and maintain APIs (REST/GraphQL) for AI model interaction and integration
Implement and improve AI workflows, including model prompting, tool usage, evaluation, and error-handling loops
Utilize classic NLP techniques (e.g., tokenization, tagging, parsing, entity extraction) when deterministic or hybrid approaches are required
Build and maintain lightweight data pipelines or preprocessing scripts for structured and unstructured data used in LLM workflows
Apply software engineering best practices, including testing, documentation, versioning, and observability
Contribute to internal knowledge sharing on LLM and NLP capabilities and best practices
Utilize graph databases, such as Neo4j, for knowledge structures or relationship modeling

What we offer

Attractive salary and special payments
30 days paid vacation and extra days-off for special occasions
Excellent upskilling opportunities and great international, group wide development prospects
Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site
Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)
Working in a diverse environment, with more than 140 nationalities, where every voice is heard

Fulltime

Select Country

Ai / Analytics Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

Ai / Analytics Engineer

Senior Supply Chain AI & Analytics Engineer

Ai Analytics Engineer

Senior AI Analytics Engineer

Senior Data Analytics & AI Engineer

Senior Fullstack Engineer - AI & Analytics

Analytics Engineer I - AI & Data Enablement

Data engineer AI and Analytics - Vice president

AI Engineer for the Analytics Plateau

Our AI answers in your language