CrawlJobs Logo
ResMed Logo ResMed · IT - Software Development

Senior Data Analytics & AI Engineer

Ireland, Dublin · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. We are looking for a high-impact, hands-on Senior Data Analytics & AI Engineer to shape the next generation of Resmed’s data ecosystem. This is a Senior level technical role for someone who can collaborate with peers to solve complex data pipeline, data models, and classical and generative AI challenges.

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

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

Nice to have

  • Bachelor’s degree in a STEM field or equivalent experience or Master’s degree in a computer science or engineer field
  • Experience with Dagster, Airflow, or similar orchestration tools
  • Familiarity with streaming or event-based processing (Kafka, Fink, Kinesis)
  • Familiarity with IaC such as Terraform
  • Experience with classical machine learning, advanced analytics, and generative AI development
  • Experience supporting ML/AI workflows or integrating ML into data products

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
ResMed - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Data Analytics & AI Engineer

8 matching positions

Senior Data Analytics Engineer

We are looking for a Senior Data Analytics Engineer to help shape and scale mode...
Location
Location
United States , Reston
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 5 years of experience in data engineering, analytics engineering, or a comparable data-centric role
  • Demonstrated expertise in dimensional modeling, including the design of fact tables, dimension tables, and slowly changing dimensions
  • Strong hands-on capability with Python, PySpark, SparkSQL, and notebook-based data development
  • Experience delivering end-to-end data solutions built on medallion architecture principles
  • Working knowledge of modern big data technologies such as Apache Spark, Hadoop, Kafka, and ETL frameworks
  • Familiarity with machine learning and AI concepts within contemporary analytics environments
  • Experience using Git within team-based software or data development workflows
  • Strong communication skills with the ability to align technical delivery with business objectives
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use
  • Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform
  • Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs
  • Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows
  • Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions
  • Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage
  • Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git
  • Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases
What we offer
What we offer
  • medical, vision, dental, and life and disability insurance
  • 401(k) plan
Read More
Arrow Right

Senior Data Analytics Engineer

We are looking for a Senior Data Analytics Engineer to help shape and scale mode...
Location
Location
United States , Reston
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 5 years of experience in data engineering, analytics engineering, or a comparable data-centric role
  • Demonstrated expertise in dimensional modeling, including the design of fact tables, dimension tables, and slowly changing dimensions
  • Strong hands-on capability with Python, PySpark, SparkSQL, and notebook-based data development
  • Experience delivering end-to-end data solutions built on medallion architecture principles
  • Working knowledge of modern big data technologies such as Apache Spark, Hadoop, Kafka, and ETL frameworks
  • Familiarity with machine learning and AI concepts within contemporary analytics environments
  • Experience using Git within team-based software or data development workflows
  • Strong communication skills with the ability to align technical delivery with business objectives
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use
  • Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform
  • Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs
  • Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows
  • Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions
  • Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage
  • Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git
  • Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - AI Infrastructure

We are building a large-scale data platform that transforms raw system logs into...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Design and implement large-scale data pipelines using PySpark and distributed processing frameworks
  • Build and maintain data models that accurately represent underlying system behavior and business logic
  • Ensure high standards of data correctness, completeness, and consistency across datasets
  • Develop validation, monitoring, and alerting mechanisms to detect data quality issues
  • Partner with data scientists to support experimentation and analytics use cases
  • Collaborate with platform engineers to ensure efficient data ingestion, processing, and storage
  • Optimize pipelines for performance, scalability, and cost efficiency
  • Define and enforce best practices for schema design, data transformations, and pipeline reliability
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Analytics

We are looking for a Senior Data Engineer - Analytics to join the Analytics Engi...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • You have at least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
  • You are proficient in Python, SQL, and DBT for building data pipelines
  • You have experience with BI tools such as Tableau, Metabase, or similar platforms
  • You have a first experience with Google Cloud Platform (GCP) stack
  • You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product)
  • You have strong communication skills and can collaborate effectively with business teams
Job Responsibility
Job Responsibility
  • Building and maintaining data pipelines using Python (Dagster) to support Doctolib's AI strategy
  • Developing and maintaining data marts in BigQuery using SQL/Jinja, DBT
  • Creating dashboards for high-level reporting using Tableau
  • Collaborating with stakeholders to understand their data needs and define specifications
  • Ensuring data quality, security (GDPR compliance), and availability through monitoring and optimization
What we offer
What we offer
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: additional leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Work Council subsidy to refund part of a sport club membership or a creative class
  • Up to 14 days of RTT
  • Lunch voucher with Swile card
  • Bicycle subsidy
  • Fulltime
Read More
Arrow Right

Senior Engineer - AI & Data Science

Location
Location
Poland
Salary
Salary:
15025.00 - 22500.00 PLN / Month
https://www.hsbc.com Logo
HSBC
Expiration Date
July 11, 2026
Flip Icon
Requirements
Requirements
  • Strong experience in delivering Data Science and similar solutions
  • Knowledge of ingestion and data preparation techniques, especially for use in AI solutions
  • Experience working with Cloud based APIs for Large Language Models is highly desirable
  • Very good Python skills and strong object-oriented programming concepts
  • Strong knowledge of software engineering architecture concepts for the build of multi-tier solutions that include user interfaces, data, workflow, and controls
  • Strong knowledge of technology and support practices to maintain a production grade user system, including testing practices
  • Strong experience working with developer tools and frameworks such as GitHub, Agile practices, Source control and branching concepts
  • Understanding of how Large Language Models work
  • Knowledge of web UI coding frameworks such as React, NodeJS, Angular, is desirable
  • Strong knowledge and experience of modern Agile and project management practices
Job Responsibility
Job Responsibility
  • Develop Python-based solutions for Global Finance business teams, including but not limited to Generative AI
  • Research and develop new techniques in data science, Generative AI and related areas to improve the quality of outputs
  • Perform detailed testing of prompts and data inputs and outputs
  • Maintain the codebase including frontend, backend, and algorithms in a engineering global team environment
  • Understand and implement appropriate governance and controls required
  • Face off to the business and other stakeholders, including but not limited to the business line teams, Global Finance Analytics, Transformation, Change/Project Management, IT, Governance teams
  • Contribute towards overall strategy development for the team
  • Work closely with the Quantitative Analytics teams to build software solutions that are practical, workable and comply with accounting, regulatory or other requirements
What we offer
What we offer
  • Additional bonuses for recognition awards
  • Multisport card
  • Private medical care
  • Life insurance
  • One-time reimbursement of home office set-up (up to 800 PLN)
  • Cafeteria platform
  • Employee assistance program
  • Additional contributions to PPK scheme
  • Corporate parties & events
  • CSR initiatives
  • Fulltime
!
Read More
Arrow Right

Senior AI Analytics Engineer

This role is a hybrid position with the expectation to work onsite (3) three day...
Location
Location
United States , Boise, Idaho or Plano, Texas
Salary
Salary:
Not provided
ericsson.com Logo
Ericsson
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior AI Data Engineer

The Senior AI Data Engineer (Applications Development Technology Lead Analyst - ...
Location
Location
Canada , Mississauga
Salary
Salary:
120800.00 - 170800.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
  • Strong proficiency in Python, SQL
  • Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
  • Familiarity with large language models (LLMs) and their application in agentic systems
  • Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
  • Experience in designing and implementing APIs for AI services
  • Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
  • Excellent analytical and problem-solving skills
  • Strong written and verbal communication skills
Job Responsibility
Job Responsibility
  • Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
  • Develop scalable and robust architectures for agentic systems
  • Integrate various machine learning models to enhance agent capabilities and decision-making
  • Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems
  • Utilize and contribute to agentic AI frameworks and development tools
  • Design and implement metrics and evaluation strategies for agent performance
  • Stay abreast of the latest advancements in AI
  • Work closely with cross-functional teams
  • Create comprehensive technical documentation
  • Appropriately assess risk when business decisions are made
  • Fulltime
Read More
Arrow Right

Senior Data Engineer, People Analytics

A Data Engineer is a builder, an innovator, and a trusted strategic partner. You...
Location
Location
United States , Denver; San Francisco; Sunnyvale; Bellevue
Salary
Salary:
165000.00 - 200000.00 USD / Year
crusoe.ai Logo
Crusoe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep experience managing data in Google Cloud Platform
  • Expert proficiency in Sigma or similar BI platforms
  • Hands-on experience with Ashby, Rippling, or similar HR/Recruiting Systems
  • Experience building semantic layers that create context based in business logic from raw data
  • Experience or strong interest in applying AI/ML techniques (NLP, regression analysis, etc.) to people data
  • Ability to explain complex data architectures to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Build and maintain resilient ETL pipelines to centralize data from core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products
  • Architect a robust semantic data layer (using dbt) that translates raw database schemas into business-friendly logic
  • Enable non-technical leaders to ask natural language questions and get accurate answers
  • Leverage AI and LLMs to unlock insights from unstructured data and build predictive models for attrition and headcount planning
  • Design data products that solve operational problems
  • Partner proactively with Talent, Finance, and People leaders
  • Translate vague business anxieties into rigorous data questions
  • Design and deploy high-impact Sigma workbooks that guide executives through complex narratives
What we offer
What we offer
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Fulltime
Read More
Arrow Right