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We are not here to play zero-sum games. Shopify Engineering is focused on building the best product for our Merchants. You will enable entrepreneurship and create new value for the world.&nbsp;We’re looking for experienced and curious software engineers to help build the future of commerce.&nbsp;<ul><li>Our engineering culture is deeply collaborative, truth-seeking, candid, and merchant obsessed</li><li>Our success hinges on our ability to build and scale the platform that powers commerce for millions of merchants. And do it in a robust and performant way.&nbsp;</li></ul>We believe that a great engineer can apply and hone their craft across multiple domains. That’s why we hire generalists, give them opportunities to learn new technologies and tools, and provide support and mentorship along the way.&nbsp;Shopify engineers contribute to the entire commerce “stack.” Think: delivering merchant and buyer-facing applications, creating complex financial solutions, improving open source communities, building internal tools to improve developer experience, and more.&nbsp;If you care deeply about what you do, and you’re committed to the relentless pursuit of developing and mastering your craft, Shopify Engineering might be for you.The Site Reliability Team:<ul><li>Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.</li><li>Build and improve tools to keep our platform resilient and performant.</li><li>Help define what Resiliency and Site Reliability Engineering means for Shopify.</li><li>Directly impact production systems underpinning commerce for millions of merchants, who&nbsp; generate revenue for their livelihood, their families, and their employees, through the businesses they’ve built on our platform.</li><li>Go on-call and respond to automated alerts and execute playbooks.</li><li>Identify gaps in our processes and build or improve tools to support incident management.</li><li>Develop production tooling and services to improve our platform’s resilience.</li><li>Clean up the noise in our signals, ensuring we can get an understanding of our platform and more efficiently debug problems.</li><li>Ensure we never fail for the same reason twice.</li></ul>

Site Reliability Engineer

At the core of Deel’s FinTech platform, responsible for building and operating client and contractor wallets across our regulated entities globally. This is a mission-critical domain where accuracy, compliance, and reliability are non-negotiable.Scope &amp; Responsibilities<ul><li>Lead the fintech engineering team to design, build, and scale wallet infrastructure for global deel's users.</li><li>Work with different teams to integrate wallets with regional banks through PSPs (via APIs), orchestrating pay-ins and ensuring seamless treasury operations.</li><li>Depending on the project, you may collaborate with the Core Accounting team to connect wallets with the General Ledger (GL), ensuring balances are accurate and financial records meet audit standards.</li><li>Work closely with Compliance, Treasury, and PSP Integration teams to ensure adherence to local regulations (MTL, PI, safeguarding requirements).</li><li>Provide technical leadership in a global, fast-paced environment where uptime and precision are critical.</li><li>Responsible for leading a high-performing engineering team, including running daily stand-ups, planning sessions, and backlog grooming.</li></ul>What We’re Looking For<ul><li>Location: Based in EMEA, with high availability for global collaboration.</li><li>Background: Proven experience as a Team Lead or Manager in payments, banking, accounting, or treasury.</li><li>FinTech Expertise: Hands-on wallets, flows of funds, compliance, and regulated money movement. Prior experience at companies like Wise, PayPal, or similar is a strong plus.</li><li>Technical Skills:<ul><li>JavaScript/Node.js</li><li>PostgreSQL with Sequelize ORM</li><li>Strong understanding of distributed systems and API-driven banking/PSP integrations</li></ul></li><li>Leadership: Ability to run projects at scale, mentor engineers, and drive cross-functional alignment.</li><li>Mindset: Ownership, detail-oriented, and mindful of the responsibility of managing other people’s money.</li><li>Important note: This role will remain technically hands-on, with responsibilities divided between people management and hands-on tasks.</li></ul>Why This Role Matters This team is the foundation of Deel’s regulated money movement. The work ensures client funds are safe, compliant, and seamlessly accessible worldwideTotal 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>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 optional WeWork access</li></ul>

Team Lead, Engineering, Fintech

We are seeking a&nbsp;Lead Data Integration Engineer&nbsp;to join the innovative Data Practice team and make an impact on EPAM's strategic initiatives.In this role, you will focus on creating robust data systems and applications to support effective decision-making. Key priorities include developing and maintaining data pipelines, data-driven solutions in public clouds like AWS or Azure, and facilitating seamless data migration from on-premises infrastructure to the cloud. You will also work on building key components for enterprise data platforms.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Drive EPAM strategic data initiatives</li><li>Design and manage enterprise data solutions within Public Cloud environments (AWS, Azure)</li><li>Build components for enterprise data platforms to ensure efficient data workflows</li><li>Collaborate with data scientists, architects, and other stakeholders to address data requirements</li><li>Implement structured, secure, and auditable processes to safeguard data integrity</li><li>Identify and resolve data-related issues while enhancing overall system quality</li></ul>Requirements<ul><li>5+ years of experience as a Data Engineer or in a similar role</li><li>Proficiency in SQL and Python</li><li>At least one year of relevant leadership experience</li><li>Background in Public Cloud platforms (AWS, Azure), DBMS, and ETL/ELT tools</li><li>Hands-on experience with Databricks</li><li>Skills in data acquisition, including API calls, FTP downloads, ETL, transformation, storage, and distribution</li><li>Background in building components for enterprise data platforms, such as Data Warehouses, Operational Data Stores, API access layers, file extracts, or query systems</li><li>A bachelor’s degree in computer science, IT, or a related discipline</li><li>Competency in effective communication</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Lead Data Integration Engineer Remote

We are seeking a&nbsp;Senior Data Engineer&nbsp;to design and implement robust, scalable data-driven solutions that support key decision-making processes within the Property &amp; Casualty business domain.This role offers the opportunity to work on cutting-edge projects utilizing Big Data and Machine Learning to address emerging challenges in the insurance industry.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Design and build scalable and efficient data systems to enable data-driven decision-making</li><li>Collaborate with cross-functional teams to gather and understand data requirements</li><li>Implement data pipelines to extract, transform, and load (ETL/ELT) data from various sources</li><li>Develop data models that support advanced analytics and reporting needs</li><li>Utilize modern programming languages to build data-driven applications focused on user needs</li><li>Ensure the quality and reliability of datasets through validation and testing</li><li>Visualize data insights and tell compelling stories through dashboards using tools like Microsoft Power BI</li><li>Optimize performance and scalability of data infrastructure to meet growing business demands</li><li>Maintain thorough documentation of data architecture, pipelines, and processes</li><li>Stay updated on industry trends and emerging technologies to propose innovative solutions</li><li>Adhere to Agile and Scrum methodologies to ensure effective project delivery</li><li>Support the adoption and use of advanced platforms such as Palantir Foundry</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Data Science, or a related field</li><li>3+ years of experience in data engineering, analytics, or related fields</li><li>Expertise in Python, TypeScript, and SQL with a deep understanding of relational databases</li><li>Skills in data modeling, data visualization, and storytelling with data</li><li>Proficiency in Microsoft Power BI and familiarity with Agile development approaches like Scrum</li><li>Experience working with Palantir Foundry or other advanced data platforms</li><li>Background in Insurance, Financial Services, or Finance-related industries is a strong advantage</li><li>Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders</li></ul>Nice to have<ul><li>Knowledge of Big Data technologies and frameworks</li><li>Proficiency in PySpark for distributed data processing</li><li>Background in Machine Learning or Generative AI applications</li><li>Familiarity with insurance domain concepts or the Property &amp; Casualty business</li><li>Understanding of ETL/ELT solutions and best practices</li><li>Familiarity with HTML, CSS, JavaScript, and Gradle</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Data Engineer Remote

We are seeking a Manager - Data Science Consultant to join EPAM, ideal for leaders with a strong mathematics background and a passion for hands-on work in Data Science, AI and ML.The remote option applies only to the Candidates who will be working from any location in Greece.Responsibilities<ul><li>Discover, envision and land Data Science, AI and Machine Learning opportunities with EPAM teams and clients</li><li>Lead cross-functional teams through understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps</li><li>Work with clients to deliver AI Products that provide value to end-users</li><li>Participate in EPAM competencies development and contribute to new and existing offerings in AI, Data Science, ML and MLE</li><li>Bring creative engineering approaches to deliver practical applications of Machine Learning</li><li>Collaborate with the DevOps practice on infrastructure and release planning</li></ul>Requirements<ul><li>3+ years of hands-on experience in core Data Science and knowledge of advanced domains such as Computer Vision, NLP or Advanced Analytics</li><li>Experience in consulting, including exploring business problems and converging them to applied AI technical solutions, as well as expertise in pre-sales and solution definition</li><li>Experience delivering applied AI from concept to production, familiarity with MLOps and Data, design of Data Analytics platforms, data engineering and technical leadership</li><li>Track record of delivering complex AI-empowered programs in a leadership position and experience managing and growing teams to scale Data Science, AI and ML capability</li><li>Excellent communication skills, drive for problem-solving and creative solutions, high EQ</li><li>Knowledge of Python, Databricks or Azure ML</li><li>Background in Big Data technologies such as Hadoop, Spark or Hive</li><li>Skills in AWS, Docker or Kubernetes</li><li>Proficiency in databases including PL SQL, HQL or Mongo</li><li>Familiarity with Google Vertex AI or similar platforms</li></ul>Nice to have<ul><li>Expertise in one or more business domains such as CPG, Retail, Financial Services, Insurance or Healthcare/Life Science</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

Manager - Data Science Consultant

This role sits within Deel’s Global Payroll product group and focuses on fintech connectivity between payroll operations and fintech systems. You will work on products that enable accurate, transparent and scalable money movement by preparing and connecting global payroll data, to fintech processes all around the world.Payroll Fintech Connectivity is responsible for the financial orchestration layer that sits between payroll engines, invoicing systems and payments infrastructure. This includes how payroll data is exposed, enriched and consumed to support complex funding flows, invoice adjustments, reconciliations and real-time visibility for internal teams and customers.This is a Principal Product Manager role operating in a highly cross-functional environment. You will work closely with engineering, design, payroll operations, payments, finance and other product teams to build robust connectivity that reduces operational friction and improves trust in payroll and payments outcomes.Deep payroll or payments expertise is not required on day one. Strong product fundamentals, sound judgement and the ability to work across complex systems and stakeholders are far more important.<h2>What this role owns</h2><ul><li>Core payroll-to-payments connectivity and financial orchestration capabilities</li><li>How payroll data is exposed and structured for granular invoicing, funding and downstream consumption</li><li>Product workflows that support accurate payroll costs, adjustments and reconciliations</li><li>Enabling end-to-end visibility from payroll events through to payouts</li><li>Cross-product initiatives that improve quality, reliability and transparency across payroll and payments</li></ul><h2>What you will do</h2><ul><li>Lead complex fintech initiatives from problem definition through delivery and iteration</li><li>Partner closely with engineering on data models, APIs and system integrations</li><li>Work with payroll operations, payments operations and finance to understand real-world constraints</li><li>Improve how payroll cost changes and variances are surfaced and explained</li><li>Enable better monitoring, alerting and early-warning signals for payroll and payments issues</li><li>Align multiple teams around shared priorities, trade-offs and delivery plans</li><li>Communicate clearly with peers and leadership on progress, risks and decisions </li></ul><h2>What success looks like</h2>First 3 months<ul><li>You ramp quickly on Deel’s payroll and payments landscape</li><li>You understand key payroll events, data flows and money movement dependencies</li><li>You begin contributing to active PFC initiatives and technical discussions </li></ul>By 6 months<ul><li>You are independently leading cross-team fintech initiatives</li><li>Payroll and payments teams have better visibility into cost changes and risks</li><li>Invoicing and funding workflows are clearer and more reliable as a result of your work </li></ul>By 12 months<ul><li>You are a trusted owner within the Payroll Fintech Connectivity domain</li><li>Stakeholders rely on you for judgement on complex payroll-payments trade-off</li><li>Your work has materially reduced operational issues, escalations and rework </li></ul><h2>What you will bring</h2><ul><li>Strong product management fundamentals with experience owning complex systems</li><li>Background working on B2B SaaS, fintech or highly operational products</li><li>Experience with data-heavy workflows, integrations or platform capabilities</li><li>Ability to reason about trade-offs across product, operations and technical constraints</li><li>Clear communication skills and comfort influencing across teams</li><li>Experience operating in fast-moving, ambiguous environments </li></ul>Nice to have<ul><li>Experience with payroll, payments, invoicing or financial systems</li><li>Exposure to regulated or multi-country product environments</li><li>Experience operating at Staff or Lead Product Manager level</li></ul><h2>Why this role matters</h2>Payroll Fintech Connectivity underpins Deel’s ability to run payroll accurately, transparently and at scale. Improving how payroll data connects to invoicing, funding and payments directly impacts customer trust, operational efficiency and Deel’s global growth.This role offers the opportunity to work on deep, high-impact fintech problems at the heart of Deel’s payroll platform.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>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 optional WeWork access</li></ul>

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team lead, engineering, fintech

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lead data integration engineer remote

EPAM Global

senior data engineer remote

EPAM Global

manager - data science consultant

EPAM Global

principal product manager - payroll fintech connectivty

Deel

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