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The Data Platform team at Deel is dedicated to enhancing data quality, optimizing pipeline performance, building robust platform tools, and managing costs across the entire data stack—from ingestion to outbound integrations and everything in between. As a Data Engineer on this team, you’ll play a critical role in shaping the future of Deel’s data infrastructure, ensuring it scales effectively with 30+ Analytics Engineers and 100+ data professionals embedded across the organization.Our team collaborates cross-functionally with analysts, analytics engineers, data scientists, software engineers, and leadership to achieve these goals.Your Role as a Data EngineerAs a Data Engineer on the Data Platform team, you will:<ul><li>Design, implement, and manage scalable and efficient data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran. Experience with similar technologies is also valued as we continuously evolve our stack.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business needs.</li><li>Implement and enforce robust data governance policies to maintain data integrity, quality, and security.</li><li>Develop and maintain ELT processes to extract, load, and transform data from diverse sources into the data warehouse in both batch and streaming fashion.</li><li>Optimize SQL queries to enhance data analysis and reporting.</li><li>Partner with data analysts, data scientists, analytics engineers, and stakeholders to understand data workflows and provide technical support.</li><li>Diagnose and resolve data-related issues promptly.</li><li>Build a cutting-edge development environment and CI/CD system to ensure scalability and efficiency.</li><li>Ingest data from various external systems via APIs.</li><li>Stay informed on industry trends and emerging technologies to drive continuous improvement in data engineering practices.</li></ul>Qualifications<ul><li>Experience:&nbsp;Minimum 3 years as a Data Engineer or in a similar role.</li><li>Technical Skills:&nbsp;Strong proficiency in Python and SQL; experience with Golang or JVM-based languages is a plus.</li><li>Data Warehousing:&nbsp;Hands-on experience with cloud-based data warehouses.</li><li>Data Modeling:&nbsp;Proficiency in designing efficient database schemas.</li><li>Workflow Orchestration:&nbsp;Familiarity with tools like Apache Airflow.</li><li>Data Streaming:&nbsp;Experience with data streaming and Change Data Capture (CDC).</li><li>Infrastructure:&nbsp;Proficiency in Terraform and GitHub Actions.</li><li>Compliance:&nbsp;Experience in setting up PII anonymization and RBAC.</li><li>Collaboration:&nbsp;Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders.</li><li>Problem-Solving:&nbsp;Excellent analytical skills with a keen attention to detail.</li></ul>Preferred Skills<ul><li>Kubernetes:&nbsp;Experience with Kubernetes is a plus.</li><li>Data Warehouse Administration:&nbsp;Prior experience managing data warehouses is advantageous.</li><li>Regulatory Compliance:&nbsp;Familiarity with GDPR or similar data privacy regulations is beneficial.</li></ul>Join us in building a world-class data platform that drives actionable insights and scales with Deel’s rapidly growing business.Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Data Engineer

The Data Platform team at Deel is composed of senior engineers focused on improving data quality, data pipeline performance, data development experience, and cost management of the entire data stack from ingestion to outbound integrations (and everything in between). As a Senior Analytics Engineer on the Data Platform team, you will spend significant time crafting the future of our Snowflake data warehouse and ensuring it can scale with the business growth of Deel.We work cross functionally with analysts, analytics engineers, data scientists, ML engineers, software engineers, and leadership to accomplish these goals.&nbsp;As a Senior Analytics Engineer on our Data Platform team you will:<ul><li>Design and implement RBAC on Snowflake to meet all business and compliance requirements.</li><li>Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations.</li><li>Design and implement scalable and efficient data models for our Core data mart.</li><li>Develop and optimize SQL queries for analytical and reporting purposes.</li><li>Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s).</li><li>Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data.</li><li>Build a world-class development environment and CI/CD system that will allow our systems to scale for years to come</li><li>Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data platform needs.&nbsp;</li><li>Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards</li></ul>What you’ll need to be successful in this role:&nbsp;<ul><li>Proficient in RBAC principles and implementation details in modern data warehouse.</li><li>Proficiency in a data engineering tech stack:</li><li>5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets</li><li>Deep DBT core experience required (experience building on top of dbt core libraries would be awesome)</li><li>Experience with Snowflake desired (or other cloud database platform)</li><li>Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc</li><li>You are proficient in Python and/or another data centric language</li><li>You have experience building highly observable data systems</li><li>You are familiar with dimensional data modeling techniques and best practices</li><li>You have an eye for detail, good data intuition, and a passion for data quality</li><li>You appreciate the importance of great documentation and data debugging skills</li><li>You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Senior Analytics Engineer, Data Platform

Why join our Data team?<ul><li>Deel is a fast-growing company with a developing Data Science team, which gives the opportunity to contribute to our practices, direction, and tooling selection</li><li>The nature of the role will be mostly project focused, so a lot of opportunity to dive deep into a single problem and solve it properly</li><li>This role in particular aims to develop data insights from a large salary grouping. There’s scope to define how the data pipelines will work, and what statistical techniques and ML approaches to use</li><li>Over 90% of the team’s work makes it to production which is rare for Data science/AI teams, we aim to deliver value each quarter</li></ul>Responsibilities<ul><li>Solve real world problems using Data Science and statistical techniques</li><li>Implement functionality which can be served in production for internal customers as well as external customers</li><li>Designing, building and maintaining data sets</li><li>Data cleaning &amp; modelling</li><li>Feature engineering</li><li>Feature extraction</li><li>Building end-to-end data &amp; machine learning pipelines</li><li>Conduct reproducible research</li><li>Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions</li><li>Apply software engineering practices in our code that implements our research and its infrastructure</li><li>Produce high quality, clean, maintainable reproducible research and code</li></ul>Requirements<ul><li>High proficiency in Python and its data science stack.</li><li>Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role)</li><li>Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning</li><li>Experience with developing AI solutions across a variety of domains</li><li>Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions</li><li>A Bachelor’s degree or higher</li><li>Must have hands on experience working with SQL</li><li>Must have hands on experience working with Python (Preferably with Pandas)</li><li>Must be strong at applying statistical methods to data</li><li>Must be strong with data pipelining</li><li>Must be an independent thinker and have the ability to work independently to solve problems</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Data Scientist

Deel has grown from a contractor management product to a full-fledged HR platform in just five years, serving tens of thousands of global customers. As Deel continues its rapid global expansion, we are strengthening our localized go-to-market strategies by enhancing our marketing capabilities.In this role, you will partner closely with marketing leadership, including Marketing Heads and Marketing Directors, to drive data-driven marketing strategy, optimize budget allocation, and set top-level marketing targets. You will take a holistic approach to marketing performance, leveraging cross-channel insights to inform investment decisions, guide marketing mix planning, and ensure resources are allocated effectively. Your work will directly influence how Deel balances marketing and sales efforts, driving efficiency and maximizing impact across all marketing channels.Key Responsibilities<ul><li>Partner with Marketing Leadership as a strategic thought partner, guiding budget allocation and cross-channel marketing investments.</li><li>Collaborate with GTM Data team members, including Marketing Analysts, Analytics Engineers, Digital Analytics Managers, as well as Sales Operations and Marketing Operations teams.</li><li>Develop intuitive and actionable dashboards in Looker, providing a holistic view of marketing performance and enabling data-driven decision-making.</li><li>Design and track top-level marketing KPIs, ensuring alignment with business objectives and optimizing marketing and sales team balance.</li><li>Own and refine marketing measurement frameworks, including Marketing Mix Analysis, to identify the most efficient channel and regional investment strategies.</li><li>Lead target-setting processes, ensuring marketing teams have clear, data-backed goals that drive efficiency and growth.</li><li>Conduct structured experiments to optimize marketing spend, improve cross-channel attribution, and inform strategic planning.</li><li>Generate insights and recommendations for marketing leadership to guide budget planning, headcount allocation, and performance measurement across teams.</li></ul>Requirements<ul><li>Bachelor’s degree in Computer Science, Math, Statistics, Economics, or a related field.</li><li>You are a deeply curious person. You love understanding how the world works and have a deep sense for business and strategy.&nbsp;</li><li>Highly proficient in SQL and experience with self-service BI tools like Looker.&nbsp;</li><li>3+ years of experience in marketing or growth analytics, with a proven track record of supporting marketing leadership (CMO, Marketing Directors) in strategic decision-making.</li><li>Experience with holistic marketing measurement frameworks, such as Marketing Mix Modeling, experiment design, and top-down/bottom-up forecasting.</li><li>Strong experience in marketing budget allocation, target setting, and cross-channel investment optimization.</li><li>Excellent communication and storytelling skills; ability to translate complex data into clear, actionable insights for senior stakeholders.</li><li>Experience working in fast-paced, high-growth environments, with the ability to influence executive decision-making.</li></ul>We especially would like to speak with you if you have:<ul><li>Experience with tools like Snowflake, Salesforce, HubSpot, and dbt.</li><li>Familiarity with Python and other data science tools.</li><li>Hands-on experience with ETL tools (e.g., Fivetran, Funnel).</li><li>Prior experience working in a fast-growing B2B SaaS company.</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Senior Data Analyst - Strategic Marketing

Get Ready To:<ul><li>Collaborate in a Cross-Functional Team:&nbsp;Work closely with Frontend Engineers, Product Teams, Designers, and QA professionals to create seamless experiences.</li><li>Participate in Product Planning:&nbsp;From discovery to deployment, we value your input throughout all stages of the Software Development Lifecycle&nbsp;</li><li>Develop and Enhance Features:&nbsp;Collaborate to develop robust new features, APIs, and continuously improve our industry-leading products. Help find and fix bugs at "Deel Speed."</li><li>Provide an Exceptional, Customer-Centric Experience:&nbsp;Ensure top-tier products and services through quality engineering and attentive, customer-focused development.</li></ul> What you’ll bring to the Team:<ul><li>Expertise in Backend Development:&nbsp;Strong proficiency in Node.js, TypeScript/JavaScript best practices, along with experience in at least one other server-side language.</li><li>Database Mastery:&nbsp;You're a SQL guru, particularly with PostgreSQL, handling query optimization, data migrations, and database modeling.</li><li>Solid Grasp of OOP and Design Patterns:&nbsp;Strong understanding of object-oriented programming principles and design patterns, with experience in building and extending classes</li><li>Scalability Focus:&nbsp;Experience in designing systems for scalability, ensuring they manage rapid growth and increasing demands efficiently.</li><li>High-Volume Performance:&nbsp;Proven expertise in optimizing systems for large transaction volumes, handling concurrency, idempotency, and performance under load.</li><li>API Development:&nbsp;Skilled in building APIs, including input validation, JWT tokens, and ensuring security &amp; scalability through queue-based systems.</li><li>Experience:&nbsp;at least 4 years of experience as a Software Engineer.</li></ul> You're the Engineer We're Looking for if You:<ul><li>Excel in Application Development:&nbsp;You thrive in designing, coding, testing, and maintaining applications using the tech stack mentioned above.</li><li>Thrive in Remote Collaboration:&nbsp;Excel in a remote-first environment with proactive communication and strong asynchronous collaboration skills to ensure alignment and effective teamwork. You’ve successfully worked in distributed teams&nbsp;</li><li>Blending Autonomy and Collaboration:&nbsp;You take ownership of projects while excelling in team environments, driving shared success.</li><li>Communicate Complex Ideas Easily:&nbsp;You can clearly explain technical concepts to both technical and non-technical stakeholders.</li><li>Solve Problems with Optimism:&nbsp;You’re&nbsp;passionate about solving customer problems with your coding superpowers, and approach challenges with Default Optimism whilst maintaining a balanced perspective</li><li>Business-Focused Development:&nbsp;You take a business-focused approach to software development, with a keen eye on delivering high-value outcomes for our clients.</li><li>Genuine Care:&nbsp;You embody our core value of Genuine Care, understanding how your work impacts our customers.</li></ul> Extra brownie points if you:<ul><li>Have SaaS experience:&nbsp;experience with SaaS products running 24/7 on major cloud vendors.</li><li>Familiar with Serverless Architecture:&nbsp;experience with serverless architecture on AWS.</li><li>Understand FinTech:&nbsp;knowledge of the Fintech Industry and its unique challenges&nbsp;</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Back-End Engineer (Node.js/TypeScript)

Get Ready To:<ul><li>Collaborate in a Cross-Functional Team:&nbsp;Work closely with Frontend Engineers, Product Teams, Designers, and QA professionals to create seamless experiences.</li><li>Participate in Product Planning:&nbsp;From discovery to deployment, we value your input throughout all stages of the Software Development Lifecycle&nbsp;</li><li>Develop and Enhance Features:&nbsp;Collaborate to develop robust new features, APIs, and continuously improve our industry-leading products. Help find and fix bugs at "Deel Speed."</li><li>Provide an Exceptional, Customer-Centric Experience:&nbsp;Ensure top-tier products and services through quality engineering and attentive, customer-focused development.</li></ul>What you’ll bring to the Team:<ul><li>Expertise in Backend Development:&nbsp;Strong proficiency in Node.js, TypeScript/JavaScript best practices, along with experience in at least one other server-side language.</li><li>Database Mastery:&nbsp;You're a SQL guru, particularly with PostgreSQL, handling query optimization, data migrations, and database modeling.</li><li>Solid Grasp of OOP and Design Patterns:&nbsp;Strong understanding of object-oriented programming principles and design patterns, with experience in building and extending classes</li><li>Scalability Focus:&nbsp;Experience in designing systems for scalability, ensuring they manage rapid growth and increasing demands efficiently.</li><li>High-Volume Performance:&nbsp;Proven expertise in optimizing systems for large transaction volumes, handling concurrency, idempotency, and performance under load.</li><li>API Development:&nbsp;Skilled in building APIs, including input validation, JWT tokens, and ensuring security &amp; scalability through queue-based systems.</li><li>Experience:&nbsp;at least 8 years of experience as a Software Engineer.</li></ul>You're the Engineer We're Looking for if You:<ul><li>Excel in Application Development:&nbsp;You thrive in designing, coding, testing, and maintaining applications using the tech stack mentioned above.</li><li>Thrive in Remote Collaboration:&nbsp;Excel in a remote-first environment with proactive communication and strong asynchronous collaboration skills to ensure alignment and effective teamwork. You’ve successfully worked in distributed teams&nbsp;</li><li>Blending Autonomy and Collaboration:&nbsp;You take ownership of projects while excelling in team environments, driving shared success.</li><li>Communicate Complex Ideas Easily:&nbsp;You can clearly explain technical concepts to both technical and non-technical stakeholders.</li><li>Solve Problems with Optimism:&nbsp;You’re&nbsp;passionate about solving customer problems with your coding superpowers, and approach challenges with Default Optimism whilst maintaining a balanced perspective</li><li>Business-Focused Development:&nbsp;You take a business-focused approach to software development, with a keen eye on delivering high-value outcomes for our clients.</li><li>Genuine Care:&nbsp;You embody our core value of Genuine Care, understanding how your work impacts our customers.</li></ul>Extra brownie points if you:<ul><li>Have SaaS experience:&nbsp;experience with SaaS products running 24/7 on major cloud vendors.</li><li>Familiar with Serverless Architecture:&nbsp;experience with serverless architecture on AWS.</li><li>Understand FinTech:&nbsp;knowledge of the Fintech Industry and its unique challenges&nbsp;</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Senior Back-End Engineer (Node.js + AWS)

As a Team Lead, Engineering at Deel, you will lead a cross-functional team of 6-10 professionals, with a balance of leadership (50%) and hands-on technical work (50%). You will drive technical excellence, mentor your team, and deliver scalable, innovative solutions in a fast-paced, startup-like environment. By fostering collaboration and adopting best practices, you will ensure the team meets organizational goals and delivers exceptional user experiences. Get Ready To:Lead with Technical and Team Excellence:<ul><li>Serve as a technical leader, combining hands-on development with strategic oversight.</li><li>Design, code, and deliver high-quality, scalable applications with Node.js</li><li>Provide mentorship and technical guidance, fostering growth and skill development within the team.</li><li>Ensure best practices in development, testing, and deployment, driving innovation and excellence.</li><li>Conduct thorough code reviews to maintain high coding standards and technical quality.</li></ul>Elevate Team Effectiveness:<ul><li>Collaborate closely with product and design teams to create extraordinary user experiences.</li><li>Drive technical planning and execution, balancing short-term objectives with long-term system health.</li><li>Promote Agile methodologies to enhance team productivity and effectiveness.</li><li>Facilitate knowledge sharing, cross-team collaboration, and continuous improvement.</li></ul>Strategize and Execute for Impact:<ul><li>Define and implement technical strategies in alignment with organizational goals.</li><li>Lead innovation through rapid prototyping, iterative development, and problem-solving.</li><li>Identify technical risks and implement mitigation strategies to ensure successful delivery.</li><li>Represent your team in cross-functional discussions, aligning technical requirements with business objectives.</li></ul>Build Teams and Foster Culture:<ul><li>Play an active role in hiring and scaling the team, ensuring alignment with company values.</li><li>Manage performance cycles, provide structured feedback, and support the professional growth of team members.</li><li>Cultivate a culture of collaboration, inclusion, continuous learning, and engineering excellence.</li><li>Champion diversity and foster an environment where all team members thrive.</li></ul>Lead Cross-Functional Collaboration:<ul><li>Partner with product, design, and other engineering teams to ensure seamless alignment on goals.</li><li>Coordinate efforts across teams to drive complex projects and ensure shared objectives are met.</li><li>Communicate technical challenges, opportunities, and solutions effectively to stakeholders.</li><li>Push back on product decisions when necessary, presenting well-reasoned arguments to prioritize technical health, scalability, and long-term success.</li><li>Resolve complex, multi-team technical challenges by fostering collaboration across disciplines.</li></ul>What You’ll Bring:<ul><li>Must have: domain experience in Payroll, specifically in the United States,&nbsp;working with payroll calculations, management, accounting, or tax</li><li>10+ years of professional software engineering experience&nbsp;with expertise in JavaScript, TypeScript, Node.js, and RESTful API design.</li><li>2+ years of experience managing and mentoring engineers, with a proven ability to lead cross-functional teams.</li><li>Strong technical acumen and a track record of building scalable, robust systems.</li><li>Proficiency in automated unit, functional, and integration testing.</li><li>Passion for exceptional user experiences, innovative problem-solving, and technical excellence.</li><li>Experience managing performance reviews and scaling teams in a high-growth environment.</li></ul>You’re the Leader We’re Looking For if You:<ul><li>You're based in GMT-GMT+6</li><li>Thrive in environments requiring both technical expertise and leadership.</li><li>Combine strategic vision with attention to detail in decision-making.</li><li>Demonstrate a commitment to collaboration, continuous learning, and team success.</li><li>Drive innovation while balancing immediate goals with long-term technical health.</li></ul>Bonus Points:<ul><li>Experience navigating cross-browser and cross-platform development challenges.</li><li>Contributions to open-source projects or technical communities.</li><li>Knowledge of additional tech stacks or expertise across multiple technical domains.</li></ul>Total RewardsOur workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.&nbsp;Some things you’ll enjoy<ul><li>Provided computer equipment tailored to your role</li><li>Stock grant opportunities dependent on your role, employment status and location</li><li>Additional perks and benefits based on your employment status and country</li><li>The flexibility of remote work, including WeWork access where available</li></ul>

Team Lead, Engineering - Payroll (Node.js/Typescript)

At Shopify, we are dedicated to pushing the boundaries of innovation in artificial intelligence and machine learning. Our team is focused on developing cutting-edge solutions that harness the power of data to solve complex problems and drive meaningful business impact. We are looking for passionate Machine Learning Scientists to join our team and help us redefine the future of AI.As a Machine Learning Scientist, you will leverage your expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and AI solutions to design, develop, and deploy state-of-the-art machine learning models. You will work on impactful projects that directly enhance our products and services, ensuring that our AI solutions are not only effective but also ethical and scalable.Key Responsibilities:<ul><li>Design and implement innovative machine learning models, particularly in NLP and LLMs, to address business challenges and improve customer experiences.</li><li>Collaborate with cross-functional teams to integrate AI solutions into our products and ensure seamless deployment.</li><li>Conduct research to explore new methodologies and technologies, staying at the forefront of advancements in machine learning and AI.</li><li>Optimize models for production environments, focusing on scalability, efficiency, and performance.</li><li>Analyze and interpret complex datasets to derive actionable insights that inform product development and strategy.</li><li>Contribute to the academic community through publications and patents, sharing your findings and innovations with the broader field.</li></ul>Qualifications:<ul><li>Proven experience in developing and deploying machine learning models, particularly in NLP and LLMs (e.g., BERT, T5, GPT).</li><li>Proficiency in programming languages such as Python, with experience in ML frameworks (e.g., TensorFlow, PyTorch).</li><li>Strong understanding of AI solution architecture, model optimization, and deployment strategies.</li><li>Excellent analytical skills with the ability to communicate complex ideas effectively.</li><li>This is not a requirement, but many candidates will have Ph.D. or Master’s degree in Computer Science, Data Science, or a related field with a strong focus on machine learning and AI.</li></ul>

Machine Learning Scientists

At Shopify, we are committed to building robust and scalable machine learning platforms that empower our data scientists and engineers to innovate and deliver exceptional AI solutions. Our team is dedicated to creating an infrastructure that enables seamless model development, deployment, and monitoring. We are looking for skilled Machine Learning Infrastructure Engineers to join our team and help us shape the future of AI.As a Machine Learning Infrastructure Engineer, you will design, implement, and maintain the underlying infrastructure that supports our machine learning initiatives. You will collaborate closely with Machine Learning Engineers and Data Scientists to ensure that they have the tools and resources necessary to build and deploy high-quality models efficiently. Your expertise in cloud computing, data pipelines, and system architecture will be critical in enabling our team to deliver impactful AI solutions.Key Responsibilities:<ul><li>Design and build scalable machine learning infrastructure, including data pipelines, model training environments, and deployment frameworks.</li><li>Collaborate with Machine Learning Engineers to understand their requirements and provide solutions that enhance their productivity.</li><li>Optimize infrastructure for performance, reliability, and cost-effectiveness, ensuring that it can handle large-scale machine learning workloads.</li><li>Implement monitoring and logging solutions to track model performance and infrastructure health.</li><li>Stay current with emerging technologies and best practices in machine learning infrastructure and cloud computing.</li><li>Document and communicate infrastructure architecture, processes, and best practices to the team.</li></ul>Qualifications:<ul><li>Proven experience in building and maintaining machine learning infrastructure or data engineering pipelines.</li><li>Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).</li><li>Strong programming skills in Python or Scala, with experience in ML frameworks (e.g., TensorFlow, PyTorch).</li><li>Familiarity with data storage solutions, ETL processes, and distributed computing frameworks (e.g., Apache Spark).</li><li>Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.</li></ul>

Machine Learning Infrastructure Engineers

We give high growth, high volume merchants the scalability, reliability and flexibility they need. Shopify is in hyper-growth, building the tools and experiences for some of the biggest brands in the world, and our Solutions Engineering team is front and center in making that happen. This is where you come in…The Partner Solutions Engineer is responsible for equipping agencies with the knowledge and know-how which enables them to provide compelling solutions. This will be delivered via engagements focussing on recruitment of new partners and onboarding partners in remote &amp; IRL environments. You will break down technical barriers so our Partners can offer more effective services around our platform for high growth, high volume merchants, leading to faster revenue growth. You will have the opportunity to build strong relationships and be seen as a trusted advisor to partners you engage with. Specifically their technical and sales teams enabling high level solutions-focused discussions around the Shopify platform, their technology stack and their businesses overall goal.This is a remote, regional role with the expectation to travel occasionally for on-site visits with our Partners (10%). Responsibilities<ul><li>Be an evangelist for Shopify seeking out opportunities to speak at and attend Partner focused events.</li><li>Be accountable for defining a skills plan which enables the successful onboarding of new agencies to Shopify with a clear set of services defined.</li><li>Contributing to programs and playbooks that allow for the onboarding of partners at scale.</li><li>Deliver tailored onboarding and training sessions to key strategic partners.</li><li>Understanding and communicating the competitive strengths of Shopify to our partners.</li><li>Identifying and participating in case studies and events that increase the partner pipeline.</li><li>Be an internal champion for the region you support.</li><li>Collaborating with internal Shopify teams to improve partner and merchant experiences and develop internal technical knowledge.&nbsp;</li></ul> Requirements<ul><li>Experience in enterprise ecommerce, digital agencies, solutions engineering, or partner management roles, including experience supporting a wide variety of industries, verticals and business types.</li><li>Become an expert on Shopify’s capabilities, application ecosystem and integrations.</li><li>The ability to educate and align partners on Shopify’s commerce vision, roadmap and approach.</li><li>Strong interpersonal and communication skills - you will interact with diverse technical and non-technical groups, and can effectively facilitate and manage interactions with numerous stakeholders.</li><li>Analytical capabilities with an understanding of ecommerce best practices, the commerce ecosystem, industry trends, technology vendor landscape, integrations and systems architecture.</li><li>Development experience. You’ll be speaking often with developers and technology teams and need to be able to speak their language. (Liquid, Ruby, JS, HTML, CSS etc.)</li><li>Strong knowledge of Shopify APIs (GraphQL and REST). Partners often want to create custom apps; it's your role to let them know what's possible, where to start, and what the best path to implementation is.</li><li>Experience with building Shopify themes (with Liquid, the Shopify templating language)</li><li>Familiarity with development lifecycles, version control systems and development environments (git/Github is a plus).</li><li>A solutions mindset - prospective and new Partners like to push the boundaries of commerce and will often custom build solutions to help their merchants achieve their goals.&nbsp;</li><li>A commercial mindset - you are able to look past the pure technical implementation to understand the broader business and commercial application.</li><li>A trainer at heart - you love enabling others to be the best they can be.</li><li>Strong time management and prioritization skills to work with a range of Partners with multiple concurrent requests, and the ability to reprioritise on an ongoing basis.</li><li>The ability to thrive on change, work well as part of a team and as an individual contributor, as well as the flexibility to work locally, regionally and globally in a matrixed organization. We evolve at a rapid pace and things change quickly, sometimes even daily!</li><li>The ability to manage multiple stakeholders, including Partnership Leaders, Partner Managers, Partner Enablement, Partner Program, Solutions Engineer</li><li>Native or fluent in English plus an additional European language (French, Spanish, or Italian will be a bonus)</li></ul>

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Job Ads Ελλάδα - Page 3

data engineer

Deel

senior analytics engineer, data platform

Deel

data scientist

Deel

senior data analyst - strategic marketing

Deel

back-end engineer (node.js/typescript)

Deel

senior back-end engineer (node.js + aws)

Deel

team lead, engineering - payroll (node.js/typescript)

Deel

machine learning scientists

Shopify

machine learning infrastructure engineers

Shopify

senior partner solutions engineer

Shopify