**Data Engineer** designs, builds, and maintains scalable data processing systems. Key responsibilities include ETL processes using Apache Spark, Hadoop, and AWS services. Proficient in Python, SQL, and data modeling required. Seeking mid to senior-level candidates with 5+ years of relevant experience in big data environments.
Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. By continuing to use our site, you consent to these data practices, as described in our Privacy Policy.
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
Design and develop data egress pipelines for downstream consumption of generated research data
Design and develop data ingress pipelines to support highly performant composed dashboards of research products
Optimize performance of these data pipelines and ensure high availability, reliability, and data quality across each
Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
Ensure data structures and pathways support integration with AI tooling such as platform MCP, agents, and tools
What’s required
5+ years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.
Strong experience with Mongo, SQL, Databricks
Strong experience developing and refactoring ETLs, flexibility and understanding across
Solid understanding of data architecture principles, data modeling, and data warehousing.
Understanding of application topography, edge caching, quick availability models to end user products
Familiarity with application stack of C# and Node.js middleware services
Comfort operating in a fast paced, Agile environment
Fluency with Git source code management
Writing extensive unit tests using automated TDD tasks
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. 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 LGBT+ 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/.
Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.
// Mixpanel ignore tracking for known IPs var excludeIPS = '[65.213.72.30, 185.142.16.9, 203.176.115.9, 208.68.197.6, 208.68.197.9, 208.68.199.6, 208.68.199.9, 208.85.160.9, 208.85.161.9]'; $.getJSON('//api.ipify.org?format=json', function(data) { try{ if(true && excludeIPS.indexOf(data.ip) > -1){ console.log('Mixpanel ignore events set: NO events tracked.'); mixpanel.register({"$ignore":true}); }else{ mixpanel.unregister("$ignore"); mixpanel.track("View Page", { "Page Name": document.querySelector('.dotted-underline') ? document.querySelector('.dotted-underline').innerText : location.href, "Careers Site": true }); mixpanel.people.set_once({ 'First Career Page Visit' : new Date().toISOString() }); mixpanel.people.set({ 'Last Career Page Visit' : new Date().toISOString() }); // Only for Careers Site mixpanel.people.increment("# of Career Page Visits"); (function(){ var links = document.querySelectorAll('a'); [].forEach.call(links, function(link) { link.addEventListener("click", function (e) { mixpanel.track("Click Link", { "Link Name": link.text, "Link Location": link.getAttribute('link-location') == null ? 'Body' : link.getAttribute('link-location'), "Link Type": link.getAttribute('link-type') == null ? '' : link.getAttribute('link-type'), "Link Destination URL" : link.href }); }); }); })(); } }catch(e){} }); jQuery(document).ready(function(){ var str = navigator.userAgent; if (str.toLowerCase().indexOf("firefox") >= 0) { jQuery('body').addClass("gecko"); } }); {"employmentType":"FULL_TIME","identifier":{"name":"Point72","@type":"PropertyValue"},"jobLocation":[{"address":{"addressCountry":"US","addressRegion":"Warsaw, PL","addressLocality":"Warsaw, PL","@type":"PostalAddress"},"@type":"Place"}],"hiringOrganization":{"sameAs":"https://www.point72.com/","name":"Point72","@type":"Organization"},"datePosted":"2026-08-29","description":"
A Career with Point72’s Technology Team
\n
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
\n
Design and develop data egress pipelines for downstream consumption of generated research data
Design and develop data ingress pipelines to support highly performant composed dashboards of research products
Optimize performance of these data pipelines and ensure high availability, reliability, and data quality across each
Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
Ensure data structures and pathways support integration with AI tooling such as platform MCP, agents, and tools
What’s required
\n
5+ years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.
Strong experience with Mongo, SQL, Databricks
Strong experience developing and refactoring ETLs, flexibility and understanding across
Solid understanding of data architecture principles, data modeling, and data warehousing.
Understanding of application topography, edge caching, quick availability models to end user products
Familiarity with application stack of C# and Node.js middleware services
Comfort operating in a fast paced, Agile environment
Fluency with Git source code management
Writing extensive unit tests using automated TDD tasks
Commitment to the highest ethical standards
We take care of our people
\n
We invest in our people, their careers, their health, and their well-being. 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 LGBT+ community
Business travel accident insurance
Employee assistance program
Educational assistance reimbursement
About Point72
\n
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/.
Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.
\n ","title":"Data Engineer","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-06-15\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo00001V3gjVIAR\"},\"Id\":\"a03Vo00001V3gjVIAR\",\"Name\":\"Data Engineer\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000qV0k9IAC\",\"Job_Code__c\":\"PIT-0014663\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"Warsaw, PL\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Data Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology Team\u003C/h3\u003E\\n\u003Cp\u003EAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003EAs a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDesign and develop data egress pipelines for downstream consumption of generated research data\u003C/li\u003E\u003Cli\u003EDesign and develop data ingress pipelines to support highly performant composed dashboards of research products\u003C/li\u003E\u003Cli\u003EOptimize performance of these data pipelines and ensure high availability, reliability, and data quality across each\u003C/li\u003E\u003Cli\u003EImplement data governance best practices, including data lineage, cataloging, auditing, and access controls.\u003C/li\u003E\u003Cli\u003EEnsure data structures and pathways support integration with AI tooling such as platform MCP, agents, and tools\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003E5+ years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.\u003C/li\u003E\u003Cli\u003EStrong experience with Mongo, SQL, Databricks\u003C/li\u003E\u003Cli\u003EStrong experience developing and refactoring ETLs, flexibility and understanding across\u003C/li\u003E\u003Cli\u003ESolid understanding of data architecture principles, data modeling, and data warehousing.\u003C/li\u003E\u003Cli\u003EUnderstanding of application topography, edge caching, quick availability models to end user products\u003C/li\u003E\u003Cli\u003EFamiliarity with application stack of C# and Node.js middleware services\u003C/li\u003E\u003Cli\u003EComfort operating in a fast paced, Agile environment\u003C/li\u003E\u003Cli\u003EFluency with Git source code management\u003C/li\u003E\u003Cli\u003EWriting extensive unit tests using automated TDD tasks \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. 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 LGBT+ 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. 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 \u003Ca href=\\\"https://point72.com/\\\" target=\\\"_blank\\\" style=\\\"font-size: 11pt;\\\"\u003Ehttps://point72.com/\u003C/a\u003E.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003EOur Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at \u003Ca href=\\\"https://point72.com/Warsaw\\\" target=\\\"_blank\\\" style=\\\"font-size: 11pt;\\\"\u003Ehttps://point72.com/Warsaw\u003C/a\u003E.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"Other_Internal_Recruiter__c\":\"005Vo00000kafIJIAY\",\"RecordTypeId\":\"0120a000000LTejAAG\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8467510002?gh_jid=8467510002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-06-15T17:34:02.000+0000\",\"Location__c\":\"Warsaw, EU\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v67.0/sobjects/Account/0015b00001nlJvSAAU\"},\"Business__c\":\"Point72\",\"Name\":\"Point72\",\"Id\":\"0015b00001nlJvSAAU\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v67.0/sobjects/RecordType/0120a000000LTejAAG\"},\"DeveloperName\":\"Information_Technology\",\"Name\":\"Information Technology\",\"Id\":\"0120a000000LTejAAG\"}},\"friendlyJobName\":\"data-engineer\",\"formattedTeam\":\"Data Engineering\",\"formattedLocation\":\"Warsaw, PL\",\"formattedArea\":\"Technology & Engineering\"}');
**Data Engineer** designs, builds, and maintains scalable data processing systems. Key responsibilities include ETL processes using Apache Spark, Hadoop, and AWS services. Proficient in Python, SQL, and data modeling required. Seeking mid to senior-level candidates with 5+ years of relevant experience in big data environments.
Point72, L.P. and its affiliates and our third-party partners use cookies and similar technologies to view and retain your site interactions to perform analytics, enable site functionality and assist our marketing efforts exclusively for recruiting purposes. By continuing to use our site, you consent to these data practices, as described in our Privacy Policy.
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
Design and develop data egress pipelines for downstream consumption of generated research data
Design and develop data ingress pipelines to support highly performant composed dashboards of research products
Optimize performance of these data pipelines and ensure high availability, reliability, and data quality across each
Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
Ensure data structures and pathways support integration with AI tooling such as platform MCP, agents, and tools
What’s required
5+ years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.
Strong experience with Mongo, SQL, Databricks
Strong experience developing and refactoring ETLs, flexibility and understanding across
Solid understanding of data architecture principles, data modeling, and data warehousing.
Understanding of application topography, edge caching, quick availability models to end user products
Familiarity with application stack of C# and Node.js middleware services
Comfort operating in a fast paced, Agile environment
Fluency with Git source code management
Writing extensive unit tests using automated TDD tasks
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. 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 LGBT+ 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/.
Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.
// Mixpanel ignore tracking for known IPs var excludeIPS = '[65.213.72.30, 185.142.16.9, 203.176.115.9, 208.68.197.6, 208.68.197.9, 208.68.199.6, 208.68.199.9, 208.85.160.9, 208.85.161.9]'; $.getJSON('//api.ipify.org?format=json', function(data) { try{ if(true && excludeIPS.indexOf(data.ip) > -1){ console.log('Mixpanel ignore events set: NO events tracked.'); mixpanel.register({"$ignore":true}); }else{ mixpanel.unregister("$ignore"); mixpanel.track("View Page", { "Page Name": document.querySelector('.dotted-underline') ? document.querySelector('.dotted-underline').innerText : location.href, "Careers Site": true }); mixpanel.people.set_once({ 'First Career Page Visit' : new Date().toISOString() }); mixpanel.people.set({ 'Last Career Page Visit' : new Date().toISOString() }); // Only for Careers Site mixpanel.people.increment("# of Career Page Visits"); (function(){ var links = document.querySelectorAll('a'); [].forEach.call(links, function(link) { link.addEventListener("click", function (e) { mixpanel.track("Click Link", { "Link Name": link.text, "Link Location": link.getAttribute('link-location') == null ? 'Body' : link.getAttribute('link-location'), "Link Type": link.getAttribute('link-type') == null ? '' : link.getAttribute('link-type'), "Link Destination URL" : link.href }); }); }); })(); } }catch(e){} }); jQuery(document).ready(function(){ var str = navigator.userAgent; if (str.toLowerCase().indexOf("firefox") >= 0) { jQuery('body').addClass("gecko"); } }); {"employmentType":"FULL_TIME","identifier":{"name":"Point72","@type":"PropertyValue"},"jobLocation":[{"address":{"addressCountry":"US","addressRegion":"Warsaw, PL","addressLocality":"Warsaw, PL","@type":"PostalAddress"},"@type":"Place"}],"hiringOrganization":{"sameAs":"https://www.point72.com/","name":"Point72","@type":"Organization"},"datePosted":"2026-08-29","description":"
A Career with Point72’s Technology Team
\n
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
\n
Design and develop data egress pipelines for downstream consumption of generated research data
Design and develop data ingress pipelines to support highly performant composed dashboards of research products
Optimize performance of these data pipelines and ensure high availability, reliability, and data quality across each
Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
Ensure data structures and pathways support integration with AI tooling such as platform MCP, agents, and tools
What’s required
\n
5+ years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.
Strong experience with Mongo, SQL, Databricks
Strong experience developing and refactoring ETLs, flexibility and understanding across
Solid understanding of data architecture principles, data modeling, and data warehousing.
Understanding of application topography, edge caching, quick availability models to end user products
Familiarity with application stack of C# and Node.js middleware services
Comfort operating in a fast paced, Agile environment
Fluency with Git source code management
Writing extensive unit tests using automated TDD tasks
Commitment to the highest ethical standards
We take care of our people
\n
We invest in our people, their careers, their health, and their well-being. 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 LGBT+ community
Business travel accident insurance
Employee assistance program
Educational assistance reimbursement
About Point72
\n
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/.
Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/Warsaw.
\n ","title":"Data Engineer","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2026-06-15\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v67.0/sobjects/Job__c/a03Vo00001V3gjVIAR\"},\"Id\":\"a03Vo00001V3gjVIAR\",\"Name\":\"Data Engineer\",\"Assigned_Internal_Recruiter__c\":\"005Vo00000qV0k9IAC\",\"Job_Code__c\":\"PIT-0014663\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001nlJvSAAU\",\"Posted_Location__c\":\"Warsaw, PL\",\"Area__c\":\"Technology & Engineering\",\"Team__c\":\"Data Engineering\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s Technology Team\u003C/h3\u003E\\n\u003Cp\u003EAs Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003EAs a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EDesign and develop data egress pipelines for downstream consumption of generated research data\u003C/li\u003E\u003Cli\u003EDesign and develop data ingress pipelines to support highly performant composed dashboards of research products\u003C/li\u003E\u003Cli\u003EOptimize performance of these data pipelines and ensure high availability, reliability, and data quality across each\u003C/li\u003E\u003Cli\u003EImplement data governance best practices, including data lineage, cataloging, auditing, and access controls.\u003C/li\u003E\u003Cli\u003EEnsure data structures and pathways support integration with AI tooling such as platform MCP, agents, and tools\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003E5+ years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.\u003C/li\u003E\u003Cli\u003EStrong experience with Mongo, SQL, Databricks\u003C/li\u003E\u003Cli\u003EStrong experience developing and refactoring ETLs, flexibility and understanding across\u003C/li\u003E\u003Cli\u003ESolid understanding of data architecture principles, data modeling, and data warehousing.\u003C/li\u003E\u003Cli\u003EUnderstanding of application topography, edge caching, quick availability models to end user products\u003C/li\u003E\u003Cli\u003EFamiliarity with application stack of C# and Node.js middleware services\u003C/li\u003E\u003Cli\u003EComfort operating in a fast paced, Agile environment\u003C/li\u003E\u003Cli\u003EFluency with Git source code management\u003C/li\u003E\u003Cli\u003EWriting extensive unit tests using automated TDD tasks \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. 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 LGBT+ 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. 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 \u003Ca href=\\\"https://point72.com/\\\" target=\\\"_blank\\\" style=\\\"font-size: 11pt;\\\"\u003Ehttps://point72.com/\u003C/a\u003E.\u003C/p\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cp\u003EOur Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at \u003Ca href=\\\"https://point72.com/Warsaw\\\" target=\\\"_blank\\\" style=\\\"font-size: 11pt;\\\"\u003Ehttps://point72.com/Warsaw\u003C/a\u003E.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003E\u003C/h3\u003E\\n\u003Cbr\u003E\",\"Japanese_Job_Description_External__c\":\"\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\",\"Transcript_Optional__c\":false,\"Other_Internal_Recruiter__c\":\"005Vo00000kafIJIAY\",\"RecordTypeId\":\"0120a000000LTejAAG\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8467510002?gh_jid=8467510002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2026-06-15T17:34:02.000+0000\",\"Location__c\":\"Warsaw, EU\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v67.0/sobjects/Account/0015b00001nlJvSAAU\"},\"Business__c\":\"Point72\",\"Name\":\"Point72\",\"Id\":\"0015b00001nlJvSAAU\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v67.0/sobjects/RecordType/0120a000000LTejAAG\"},\"DeveloperName\":\"Information_Technology\",\"Name\":\"Information Technology\",\"Id\":\"0120a000000LTejAAG\"}},\"friendlyJobName\":\"data-engineer\",\"formattedTeam\":\"Data Engineering\",\"formattedLocation\":\"Warsaw, PL\",\"formattedArea\":\"Technology & Engineering\"}');