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Data Engineer, Investment Services

at Point72

Mid LevelNo visa sponsorshipData Engineering

Posted 21 hours ago

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Compensation: Not specified
City: Warsaw
Country: Poland

The Data Engineer, Investment Services role involves building, maintaining, and optimizing big data pipelines using Apache Kafka, Spark, and AWS services. Key responsibilities include collaborating with data scientists, implementing ETL processes, and ensuring data quality using SQL. This mid-level position requires at least 3 years of experience in data engineering, proficiency in Python, and familiarity with financial data. Strong problem-solving skills and the ability to work in an Agile environment are crucial for this role.

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Data Engineer, Investment Services Career

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P72 Careers - Header

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color: #18181a !important; } .c-menu-mega-careers ul a:focus, .c-menu-mega-careers ul a:hover { color: #b08725 !important; color: var(--p72-color-content-stronger) !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link, li.c-menu-mobile__menu-item > a.c-menu-mobile__link span { color: #18181a !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link:hover, li.c-menu-mobile__menu-item > a.c-menu-mobile__link:hover span { color: var(--p72-color-content-stronger, #b08725) !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link, li.c-menu-mobile__menu-item > a.c-menu-mobile__link span { color: #18181a !important; } li.o-icon > a.o-icon:hover, li.o-icon > a.o-icon:hover span { color: var(--p72-color-content-stronger, #b08725) !important; } .o-button--outlined { background-color: transparent; color: black; border: 1px solid black; transition: all 0.3s ease; } .o-button--outlined:focus, .o-button--outlined:hover { background-color: var(--p72-color-button-background, #b08725); border-color: var(--p72-color-button-background, #b08725); color: var(--p72-color-button-text, #f5f4ee); } .c-menu-mega { opacity: 0; visibility: hidden; transform: translateY(5px); transition: opacity 0.15s ease-out, transform 0.15s ease-out; will-change: opacity, transform; } body.header-scrolled .c-header { top: var(--p72-cookie-consent-height, 0px) !important; } body.header-scrolled .c-menu-mobile { /*top: 0 !important;*/ } /* Header common style */ .c-header, .c-header.l-wrap, .c-header .l-wrap { transition: none !important; will-change: auto; } /* Optional: reset header when scrolled */ body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap, body.header-scrolled .c-header .l-wrap { top: 0 !important; } @media only screen and (max-width:768px) { .c-cookie-consent__container { padding: 8px 10px !important; } body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap { padding-top: 13px; !important; } body.header-scrolled .c-header .l-wrap { padding-top: 13px; 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--p72-line-height-tight: 1.1; --p72-letter-spacing-wide: 0.06em; --p72-typography-heading-xs: var(--p72-font-weight-bold) var(--p72-font-size-heading-xs) / var(--p72-line-height-tight) var(--p72-font-family-secondary); --p72-color-brand-cream: #f5f4ee; --p72-color-brand-gold: #b08725; --p72-color-brand-slate: #505a6b; --p72-color-brand-charcoal: #18181a; --p72-color-background: var(--p72-color-brand-charcoal); --p72-color-content: var(--p72-color-brand-cream); --p72-color-content-stronger: var(--p72-color-brand-gold); --p72-color-border: var(--p72-color-brand-slate); --p72-cookie-consent-height: 0px; --p72-icon-size-sm: 0.9375rem; } /* ========================================================= Utility: u-hide-after--md Hidden after medium breakpoint ========================================================= */ @media (min-width: 769px) { .u-hide-after--md { display: none !important; } } /* ========================================================= Utility: u-spacing--lg Adds large vertical spacing between direct children ========================================================= */ .u-spacing--lg > * + * { margin-top: 2rem; margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); 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text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; 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Data Engineer, Investment Services

Apply Now

Experience

Experienced Professionals

Location

Warsaw, PL

Focus

Data Science & Analytics | Data Engineering | Technology Innovation

Business

Point72

A Career with Point72’s The AI/ML – Investment Services Team

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.

What you’ll do

Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle
Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers
Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows
Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security
Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response
Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams
Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services
Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap
Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions

What’s required

Bachelor's degree in computer science, software engineering, or a related technical fieldAt least 5 years of professional software engineering experience with a focus on backend system engineering
Experience building production data pipelines or data engineering solutions for batch and streaming data
Demonstrated experience developing or integrating generative AI and large language model solutions, such as model serving, embedding pipelines, fine-tuning workflows, or production integration with model APIs
Strong programming skills in one or more backend languages such as Python, Java or Go, with demonstrated ability to design maintainable code and services
Experience deploying and operating services on cloud platforms and container platforms using Docker and container orchestration technologies
Proven experience building CI/CD pipelines, automated testing, and infrastructure-as-code for service deployments
Strong data skills including SQL, data modeling, and experience with both relational and non-relational data stores
Excellent verbal and written communication skills in English and demonstrated ability to collaborate with technical and non-technical stakeholders
Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

Sports card
Private life insurance
Private medical and dental care, with vision allowance
Private pension scheme
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
Business travel accident insurance
Employee assistance program
Educational assistance reimbursement

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

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A Career with Point72’s The AI/ML – Investment Services Team

What you’ll do

Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle
Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers
Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows
Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security
Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response
Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams
Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services
Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap
Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions

What’s required

Bachelor's degree in computer science, software engineering, or a related technical fieldAt least 5 years of professional software engineering experience with a focus on backend system engineering
Experience building production data pipelines or data engineering solutions for batch and streaming data
Demonstrated experience developing or integrating generative AI and large language model solutions, such as model serving, embedding pipelines, fine-tuning workflows, or production integration with model APIs
Strong programming skills in one or more backend languages such as Python, Java or Go, with demonstrated ability to design maintainable code and services
Experience deploying and operating services on cloud platforms and container platforms using Docker and container orchestration technologies
Proven experience building CI/CD pipelines, automated testing, and infrastructure-as-code for service deployments
Strong data skills including SQL, data modeling, and experience with both relational and non-relational data stores
Excellent verbal and written communication skills in English and demonstrated ability to collaborate with technical and non-technical stakeholders
Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:

Sports card
Private life insurance
Private medical and dental care, with vision allowance
Private pension scheme
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
Business travel accident insurance
Employee assistance program
Educational assistance reimbursement

About Point72

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The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDesign and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle\u003C/li\u003E\u003Cli\u003EBuild and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers\u003C/li\u003E\u003Cli\u003EIntegrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows\u003C/li\u003E\u003Cli\u003EImplement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security\u003C/li\u003E\u003Cli\u003EOptimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response\u003C/li\u003E\u003Cli\u003ELead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams\u003C/li\u003E\u003Cli\u003EBuild and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services\u003C/li\u003E\u003Cli\u003EMentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap\u003C/li\u003E\u003Cli\u003ECollaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelor\'s degree in computer science, software engineering, or a related technical fieldAt least 5 years of professional software engineering experience with a focus on backend system engineering\u003C/li\u003E\u003Cli\u003EExperience building production data pipelines or data engineering solutions for batch and streaming data\u003C/li\u003E\u003Cli\u003EDemonstrated experience developing or integrating generative AI and large language model solutions, such as model serving, embedding pipelines, fine-tuning workflows, or production integration with model APIs\u003C/li\u003E\u003Cli\u003EStrong programming skills in one or more backend languages such as Python, Java or Go, with demonstrated ability to design maintainable code and services\u003C/li\u003E\u003Cli\u003EExperience deploying and operating services on cloud platforms and container platforms using Docker and container orchestration technologies\u003C/li\u003E\u003Cli\u003EProven experience building CI/CD pipelines, automated testing, and infrastructure-as-code for service deployments\u003C/li\u003E\u003Cli\u003EStrong data skills including SQL, data modeling, and experience with both relational and non-relational data stores\u003C/li\u003E\u003Cli\u003EExcellent verbal and written communication skills in English and demonstrated ability to collaborate with technical and non-technical stakeholders\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWe take care of our people\u003C/h3\u003E\\n\u003Cp\u003EWe invest in our people, their careers, their health, and their well-being. We want you to concentrate on success and leave the rest to us. When you work here, we provide:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003ESports card\u003C/li\u003E\u003Cli\u003EPrivate life insurance\u003C/li\u003E\u003Cli\u003EPrivate medical and dental care, with vision allowance\u003C/li\u003E\u003Cli\u003EPrivate pension scheme\u003C/li\u003E\u003Cli\u003EVolunteer opportunities\u003C/li\u003E\u003Cli\u003ESupport for employee-led affinity groups representing women, people of color and the LGBTQ+ community\u003C/li\u003E\u003Cli\u003EBusiness travel accident insurance\u003C/li\u003E\u003Cli\u003EEmployee assistance program\u003C/li\u003E\u003Cli\u003EEducational assistance reimbursement\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. 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