big data architect

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description (JD)</h1><h3 class="jobSectionHeader">
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</h3>
Location: Onsite - Riyadh 
Must Have: Experience over CVM implementation for Telco 
Experience: 8&ndash;12+ Years 
Industry Preference: Telecommunications<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly experienced Data Architect / Tech Lead to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Lead end-to-end data architecture design for enterprise data platforms and analytics solutions</li><li>
Design and implement scalable data warehouses, data lakes, and ETL pipelines</li><li>
Drive data modeling (logical &amp; physical) and semantic layer design</li><li>
Oversee data integration across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as system migrations, platform modernization, and architecture revamps</li><li>
Ensure data quality, governance, and compliance across data assets</li><li>
Build and optimize high-performance data pipelines and reporting systems</li><li>
Enable self-service BI and analytics using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into technical solutions</li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive automation in reporting and data operations</li><li>
Manage performance tuning and optimization of databases and queries</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Experience</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
Strong expertise in:<ul><li>
Teradata, Informatica, Apache Spark, Cloudera (Big Data ecosystem)</li><li>
ETL/ELT design and development</li><li>
SQL, Python, Shell Scripting</li></ul></li><li>
Hands-on experience with:<ul><li>
Data modeling tools (Erwin or equivalent)</li><li>
Data warehouse architecture</li><li>
Semantic layer design</li></ul></li><li>
Database experience:<ul><li>
Teradata, Oracle, MySQL, PostgreSQL</li></ul></li><li>
BI &amp; Reporting:<ul><li>
Tableau, MicroStrategy, QlikView</li></ul></li><li>
Familiarity with:<ul><li>
GitHub, C#, DataOps frameworks</li></ul></li></ul><h3 class="jobSectionHeader">
Functional Skills</h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><h2 class="jobSectionHeader">
Leadership &amp; Soft Skills</h2><ul><li>
Proven experience leading large-scale data programs</li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage cross-functional and distributed teams</li><li>
Experience in project delivery and technical governance</li></ul><h2 class="jobSectionHeader">
Education</h2><ul><li>
Bachelor&rsquo;s degree in Information Technology / Computer Science / Engineering or related field</li></ul><h2 class="jobSectionHeader">
Preferred Experience</h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in large transformation programs (e.g., system revamps, migrations)</li><li>
Exposure to product ownership or project management roles</li></ul>
o79llUR4WA</div>

Tech Lead – Data Engineering & Analytics

Ai Vantage

Key Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT data pipelines using Python and AWS services</li><li>Build and optimize data lakes, data warehouses, and data marts on AWS</li><li>Ingest, transform, and process structured and unstructured data from multiple sources</li><li>Ensure data quality, integrity, security, and compliance with federal standards</li><li>Collaborate with data scientists, analysts, and application teams to support analytics and reporting</li><li>Optimize performance, cost, and scalability of data workflows in AWS</li><li>Implement data governance, metadata management, and logging/monitoring practices</li><li>Support documentation, data models, and technical design artifacts</li><li>Troubleshoot production issues and support ongoing enhancements</li></ul>Required Qualifications<ul><li>5+ years of hands-on experience as a Data Engineer or similar role</li><li>Strong proficiency in Python for data processing and automation</li><li>Extensive experience with AWS, including services such as:</li><li>S3, EC2, Lambda</li><li>Glue, Athena, Redshift</li><li>EMR, CloudWatch (preferred)</li><li>Solid understanding of SQL and relational/non-relational databases</li><li>Experience building batch and/or streaming data pipelines</li><li>Familiarity with CI/CD pipelines, version control (Git), and DevOps practices</li><li>Experience working in federal or regulated environments</li></ul>Preferred Qualifications<ul><li>US Census Clearance (active or previously held)</li><li>Experience with big data technologies (Spark, PySpark, Hadoop)</li><li>Knowledge of data security, encryption, and access controls in AWS</li><li>Exposure to data orchestration tools (Airflow, Step Functions, etc.)</li><li>Experience supporting analytics, BI, or AI/ML workloads</li></ul>Nice to Have<ul><li>AWS Certification (Data Analytics, Solutions Architect, or Developer)</li><li>Experience with Terraform or CloudFormation</li><li>Familiarity with federal data standards and compliance frameworks</li></ul>Job Types: Full-time, ContractPay: $95,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Relocation assistance</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Python: 3 years (Required)</li><li>R: 3 years (Required)</li><li>SQL: 3 years (Required)</li><li>ETL: 3 years (Required)</li><li>AWS: 3 years (Required)</li><li>Redshift: 3 years (Required)</li></ul>Work Location: Hybrid remote in Vienna, VA 22182

Data Engineer- Local

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos. 
 
This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale. 
 
We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production. 
 
What You Will Build 
<ul><li>AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners</li><li>Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets</li></ul>
- Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor 
<ul><li>This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams.</li></ul> 
What Makes This Role Unique 
This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has already driven AI adoption to over 90% among its software builders. 
 
Key job responsibilities 
- Platform Architecture: Architect and own the end-to-end design of a full-stack data platform - from data ingestion and transformation pipelines to API delivery and front-end consumption layers. 
<ul><li>Technical Standards: Define and enforce technical standards across the team, including design patterns, data modeling best practices, API contracts, reliability, and scalability principles.</li><li>Cross-Functional Leadership: Lead cross-functional technical initiatives, aligning engineering, product, data science, and partner teams around a unified data strategy.</li><li>AI-Powered Engineering: Build AI-powered data platforms that serve ML models and deploy intelligent agents that democratize data access for non-technical stakeholders.</li><li>Data Pipeline Design: Design and implement large-scale ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage.</li><li>Partner API Strategy: Drive the API strategy for external partner integrations &mdash; enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds.</li><li>Engineering Excellence: Lead design reviews, define code quality standards, own CI/CD pipelines, and champion automated testing and observability.</li></ul>
- Mentorship: Mentor and grow engineers on the team - conducting design reviews, providing technical guidance, and elevating the overall engineering bar. 
<ul><li>Business Translation: Partner with product and business stakeholders to translate ambiguous business problems into well-scoped, high-impact technical solutions.</li><li>Operational Excellence: Define SLAs, build monitoring and alerting, and lead incident response for production systems.</li></ul> 
A day in the life 
You start your morning reviewing a design proposal from a junior engineer - you provide structured feedback that sharpens the data model and catches a scalability risk before it reaches production. By midday, you're in a cross-team sync with the OEM integrations team, aligning on the API contract for a new real-time inventory feed. In the afternoon, you're deep in architecture work - designing the next generation of the dealer analytics pipeline that will reduce data latency from hours to minutes. You close the day reviewing a pull request and unblocking a teammate on a tricky ETL edge case. Every day, your decisions shape the platform that hundreds of dealers and partners rely on to run their business on Amazon. 
 
About the team 
We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations. 
 
This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience analyzing large datasets and translating them to actionable business insight</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Master's degree in computer science or equivalent</li><li>5+ years of developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting experience</li><li>Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.</li><li>Experience in Redshift, or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture</li><li>Experience in Kafka, or experience in any Bigdata architecture and experience in Redshift</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Amazon Autos

Siemens

<div><div>Job Title: Marketing Operations &amp; Data Specialist</div> 
<div></div>
<div>You'll make a difference by:</div>
<ul><li>Architecting Intelligent Workflows: Designing and managing end-to-end automation using Microsoft Power Automate, n8n, and RPA platforms like UiPath to streamline global marketing operations.</li>
<li>Turning Data into Strategy: Integrating Snowflake and Power BI to engineer data pipelines and create high-impact visualizations that drive campaign decisions.</li>
<li>Scaling Content with AI: Leading the charge on generative AI integration to revolutionize how the team creates, distributes, and localizes content across global channels.</li>
<li>Bridging Global Gaps: Collaborating with international teams to identify process pain points, establishing best-practice frameworks, and centralizing media assets with consistent metadata.</li>
<li>Ensuring Technical Integrity: Building scalable, secure integrations via APIs and Python/JavaScript scripting while maintaining rigorous cybersecurity and version control standards.</li>
<li>Optimizing the User Experience: Analyzing campaign effectiveness through custom dashboards and refined UI/UX interfaces to present clear insights to stakeholders.</li></ul> 
<div>
</div><div>Your defining qualities:</div>
<ul><li>Proven Track Record: You bring 2&ndash;5 years of professional experience in marketing operations, data science, or a highly technical marketing role.</li>
<li>A Technical Polymath: You have a solid background in Data Science, CS, or Marketing Informatics, with deep expertise in at least one core area (Automation, AI, or Data Management).</li>
<li>A MarTech Architect: You have hands-on experience building complex workflows and integrating third-party tools into a cohesive marketing tech stack.</li>
<li>A Data Fluent Strategist: You are proficient in ETL processes and modern data environments like Snowflake, with the ability to translate &quot;big data&quot; into &quot;big ideas.&quot;</li>
<li>An AI Pioneer: You stay ahead of the curve with AI/ML models, generative AI, and prompt engineering to keep the business at the cutting edge.</li>
<li>A Cross-Functional Communicator: You can translate complex technical concepts for non-technical stakeholders and thrive in multicultural, global environments.</li>
<li>A Creative Problem-Solver: You are a solutions-oriented thinker who isn&rsquo;t afraid to challenge conventional methods and propose innovative improvements.</li></ul><div> 
</div>
How to apply:<div><ul><li>
Applicable to all applicants, to be considered, please upload or share a portfolio of your previous work (PDF or link) along with your resume.</li><li>
Interested Siemens Internal candidates, kindly reach out directly to the respective in-country Talent Acquisition representative to initiate the application process instead.</li></ul><div>
This is what happens after you apply:</div>
<div></div><ul><li>CV Screening</li><li>
Talk with our recruiter to get to know your motivation &amp; your experience</li><li>
2-3 Business Interviews</li><li>
Offer</li></ul> 
<div></div>
<div>Transform the everyday with us.</div>
<div>We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.</div> 
<div></div>
<div>Public Notice: Recruitment Fraud</div>
<div>We wish to caution jobseekers that Siemens, as a policy, does not authorize external parties/agents to conduct employment drives or extend Offers of Employment on our behalf. We do not ask for bank details, payment of any kind nor personal financial information in return for assurance of employment. Please visit our job portal for all Siemens job openings, and apply via the portal.</div></div></div>

Marketing Operations & Data Specialist

C-Serv

<div>About Opportunity
We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers&rsquo; platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning &mdash; powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.
The Role
As one of our AI ML Engineer&rsquo;s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
What You'll Do<ul><li>
Define and drive the technical vision for ML solutions across products and platforms</li><li>
Own the end-to-end software development lifecycle &mdash; from design and code reviews through to deployment and operations</li><li>
Architect high-performance, scalable microservices, including synchronous and asynchronous web services</li><li>
Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing</li><li>
Mentor engineers, set technical direction, and foster a strong team culture</li><li>
Champion engineering excellence, system resilience, and continuous operational improvement</li></ul> 

Requirements 
Required Qualifications<ul><li>
Degree in Computer Science, Mathematics, or a related field</li><li>
5&ndash;10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)</li><li>
5&ndash;10 years of Python expertise, including advanced features and libraries</li><li>
Strong experience designing RESTful APIs (e.g., FastAPI)</li><li>
Proficiency with Docker, Kubernetes, and CI/CD pipelines</li><li>
3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)</li><li>
Proven experience as a tech lead or engineering mentor</li></ul>
Preferred Qualifications<ul><li>
MS or PhD in Computer Science or ML</li><li>
Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT</li><li>
Familiarity with NoSQL and document databases</li><li>
Track record of handling big data, optimising workflows, and improving system performance</li></ul> 
Benefits 
<ul><li>
Health Care Plan (Medical, Dental &amp; Vision)</li><li>
Life Insurance (Basic, Voluntary &amp; AD&amp;D)</li><li>
Paid Time Off (Vacation, Sick &amp; Public Holidays)</li><li>
Family Leave (Maternity, Paternity)</li><li>
Training &amp; Development</li></ul></div>

AI Staff Machine Learning Engineer, General AI, ML & Big Data

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 ROLLER Recharge days to celebrate and recharge once we've hit our goals
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 
 
 </li>
 </ul>
 What You Can Expect
 
 
 <ul>
 <li>
 
 Initial call with our Talent Acquisition Manager
 
 You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
 </li>
 <li>
 
 Interview with the Hiring Manager
 
 You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
 </li>
 <li>
 
 Loop Interviews
 
 This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
 </li>
 <li>
 
 Offer
 
 If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
 </li>
 </ul>
</div>

Data Engineer

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Tech Lead – Data Engineering & Analytics

Data Engineer- Local

Sr. Software Development Engineer, Amazon Autos

Marketing Operations & Data Specialist

AI Staff Machine Learning Engineer, General AI, ML & Big Data

AI Staff Machine Learning Engineer, General AI, ML & Big Data

Data Engineer