Point72's AI/ML – Investment Services team is seeking a Data Engineer to architect, develop, and maintain high‑throughput data pipelines in Databricks and AWS. The role involves ingesting, normalizing and enriching large volumes of structured and unstructured data, collaborating with AI/ML engineers to translate model and product requirements into scalable data architectures and APIs, and enforcing data governance and monitoring. You'll optimize pipeline performance and cost, support vendor onboarding, and evaluate emerging GenAI tooling through proofs‑of‑concept.
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
Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities
What’s required
Bachelor’s or master’s degree in computer science or engineering
3+ years of experience in data engineering or related field
Strong experience in Python development
Experience with Spark or Scala
Proficiency in building scalable, distributed data pipelines in a cloud environment
Solid understanding of data architecture principles, data modeling, and data warehousing
Ability to devise novel and innovative solutions to challenges
Knowledge of/experience with graph databases is a plus
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/.
// 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 Poland sp. z o.o.","@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":"2026-01-19","description":"
A Career with Point72’s The AI/ML – Investment Services Team
\n
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
\n
Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities
What’s required
\n
Bachelor’s or master’s degree in computer science or engineering
3+ years of experience in data engineering or related field
Strong experience in Python development
Experience with Spark or Scala
Proficiency in building scalable, distributed data pipelines in a cloud environment
Solid understanding of data architecture principles, data modeling, and data warehousing
Ability to devise novel and innovative solutions to challenges
Knowledge of/experience with graph databases is a plus
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. 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
\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/.
\n ","title":"Data Engineer, Investment Services","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2025-12-01\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v65.0/sobjects/Job__c/a03Vo00000rdPrGIAU\"},\"Id\":\"a03Vo00000rdPrGIAU\",\"Name\":\"Data Engineer, Investment Services\",\"Assigned_Internal_Recruiter__c\":\"0055b00000MvQkyAAF\",\"Job_Code__c\":\"IVS-0013677\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001sNJ8UAAW\",\"Posted_Location__c\":\"Warsaw, PL\",\"Area__c\":\"Research, Data & Analytics;Technology & Engineering\",\"Team__c\":\"Data Science & Analytics;Data Engineering;Technology Innovation\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s The AI/ML – Investment Services Team\u003C/h3\u003E\\n\u003Cp\u003EThe 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.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EArchitect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions) \u003C/li\u003E\u003Cli\u003EIngest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources\u003C/li\u003E\u003Cli\u003ECollaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs\u003C/li\u003E\u003Cli\u003EOptimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)\u003C/li\u003E\u003Cli\u003EEnforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM\u003C/li\u003E\u003Cli\u003EBuild automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads\u003C/li\u003E\u003Cli\u003ESupport the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams\u003C/li\u003E\u003Cli\u003EContinuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelor’s or master’s degree in computer science or engineering\u003C/li\u003E\u003Cli\u003E3+ years of experience in data engineering or related field \u003C/li\u003E\u003Cli\u003EStrong experience in Python development\u003C/li\u003E\u003Cli\u003EExperience with Spark or Scala\u003C/li\u003E\u003Cli\u003EProficiency in building scalable, distributed data pipelines in a cloud environment\u003C/li\u003E\u003Cli\u003ESolid understanding of data architecture principles, data modeling, and data warehousing\u003C/li\u003E\u003Cli\u003EAbility to devise novel and innovative solutions to challenges\u003C/li\u003E\u003Cli\u003EKnowledge of/experience with graph databases is a plus\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\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. 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/.\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,\"RecordTypeId\":\"012j0000000tcfoAAA\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8139593002?gh_jid=8139593002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2025-12-01T10:41:45.000+0000\",\"Location__c\":\"Warsaw, EU\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/0015b00001sNJ8UAAW\"},\"Business__c\":\"Point72\",\"Name\":\"Point72 Poland sp. z o.o.\",\"Id\":\"0015b00001sNJ8UAAW\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfoAAA\"},\"DeveloperName\":\"Investment_Services\",\"Name\":\"Investment Services\",\"Id\":\"012j0000000tcfoAAA\"}},\"friendlyJobName\":\"data-engineer-investment-services\",\"formattedTeam\":\"Data Science & Analytics | Data Engineering | Technology Innovation\",\"formattedLocation\":\"Warsaw, PL\",\"formattedArea\":\"Research, Data & Analytics | Technology & Engineering\"}');
Point72's AI/ML – Investment Services team is seeking a Data Engineer to architect, develop, and maintain high‑throughput data pipelines in Databricks and AWS. The role involves ingesting, normalizing and enriching large volumes of structured and unstructured data, collaborating with AI/ML engineers to translate model and product requirements into scalable data architectures and APIs, and enforcing data governance and monitoring. You'll optimize pipeline performance and cost, support vendor onboarding, and evaluate emerging GenAI tooling through proofs‑of‑concept.
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
Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities
What’s required
Bachelor’s or master’s degree in computer science or engineering
3+ years of experience in data engineering or related field
Strong experience in Python development
Experience with Spark or Scala
Proficiency in building scalable, distributed data pipelines in a cloud environment
Solid understanding of data architecture principles, data modeling, and data warehousing
Ability to devise novel and innovative solutions to challenges
Knowledge of/experience with graph databases is a plus
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/.
// 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 Poland sp. z o.o.","@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":"2026-01-19","description":"
A Career with Point72’s The AI/ML – Investment Services Team
\n
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
\n
Architect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions)
Ingest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources
Collaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs
Optimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)
Enforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM
Build automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads
Support the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams
Continuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities
What’s required
\n
Bachelor’s or master’s degree in computer science or engineering
3+ years of experience in data engineering or related field
Strong experience in Python development
Experience with Spark or Scala
Proficiency in building scalable, distributed data pipelines in a cloud environment
Solid understanding of data architecture principles, data modeling, and data warehousing
Ability to devise novel and innovative solutions to challenges
Knowledge of/experience with graph databases is a plus
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. 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
\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/.
\n ","title":"Data Engineer, Investment Services","@type":"JobPosting","@context":"http://schema.org/"} CSJobDetailModule.init('{\"lastModifiedDateFormatted\":\"2025-12-01\",\"job\":{\"attributes\":{\"type\":\"Job__c\",\"url\":\"/services/data/v65.0/sobjects/Job__c/a03Vo00000rdPrGIAU\"},\"Id\":\"a03Vo00000rdPrGIAU\",\"Name\":\"Data Engineer, Investment Services\",\"Assigned_Internal_Recruiter__c\":\"0055b00000MvQkyAAF\",\"Job_Code__c\":\"IVS-0013677\",\"Experience__c\":\"Experienced Professionals\",\"Company__c\":\"0015b00001sNJ8UAAW\",\"Posted_Location__c\":\"Warsaw, PL\",\"Area__c\":\"Research, Data & Analytics;Technology & Engineering\",\"Team__c\":\"Data Science & Analytics;Data Engineering;Technology Innovation\",\"Job_Description_External__c\":\"\u003Ch3\u003EA Career with Point72’s The AI/ML – Investment Services Team\u003C/h3\u003E\\n\u003Cp\u003EThe 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.\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat you’ll do\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EArchitect, develop, and maintain high-throughput data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions) \u003C/li\u003E\u003Cli\u003EIngest, normalize, and enrich large volumes of structured and unstructured data including internal data, market data, third-party/vendor feeds, document repositories, and alternative data sources\u003C/li\u003E\u003Cli\u003ECollaborate with AI Engineers, ML scientists, and software engineers to translate model and product requirements into scalable data architecture, schemas, and APIs\u003C/li\u003E\u003Cli\u003EOptimize pipeline performance (compute, storage, network) and cost by leveraging distributed processing techniques (Spark, Delta, Arrow) and AWS best practices (spot fleets, autoscaling)\u003C/li\u003E\u003Cli\u003EEnforce data governance, privacy, and lineage standards, cataloging assets in Unity Catalog, managing PII/PCI classification, and implementing fine-grained access controls with Immuta/Ranger/IAM\u003C/li\u003E\u003Cli\u003EBuild automated validation, testing, and monitoring frameworks to guarantee data quality, freshness, and drift detection for both offline and online workloads\u003C/li\u003E\u003Cli\u003ESupport the onboarding and integration of new external data vendors, ensuring contractual compliance, metadata management, and rapid time-to-value for relevant teams\u003C/li\u003E\u003Cli\u003EContinuously evaluate emerging GenAI tooling (vector stores, LLMOps platforms, synthetic-data generators) and drive proof-of-concepts that enhance our data engineering capabilities\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EWhat’s required\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelor’s or master’s degree in computer science or engineering\u003C/li\u003E\u003Cli\u003E3+ years of experience in data engineering or related field \u003C/li\u003E\u003Cli\u003EStrong experience in Python development\u003C/li\u003E\u003Cli\u003EExperience with Spark or Scala\u003C/li\u003E\u003Cli\u003EProficiency in building scalable, distributed data pipelines in a cloud environment\u003C/li\u003E\u003Cli\u003ESolid understanding of data architecture principles, data modeling, and data warehousing\u003C/li\u003E\u003Cli\u003EAbility to devise novel and innovative solutions to challenges\u003C/li\u003E\u003Cli\u003EKnowledge of/experience with graph databases is a plus\u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cbr\u003E\u003C/p\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. 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/.\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,\"RecordTypeId\":\"012j0000000tcfoAAA\",\"Apply_Now_URL__c\":\"https://boards.greenhouse.io/point72/jobs/8139593002?gh_jid=8139593002\",\"Type__c\":\"Full Time\",\"LastModifiedDate\":\"2025-12-01T10:41:45.000+0000\",\"Location__c\":\"Warsaw, EU\",\"Company__r\":{\"attributes\":{\"type\":\"Account\",\"url\":\"/services/data/v65.0/sobjects/Account/0015b00001sNJ8UAAW\"},\"Business__c\":\"Point72\",\"Name\":\"Point72 Poland sp. z o.o.\",\"Id\":\"0015b00001sNJ8UAAW\",\"RecordTypeId\":\"012j0000000tIlgAAE\"},\"RecordType\":{\"attributes\":{\"type\":\"RecordType\",\"url\":\"/services/data/v65.0/sobjects/RecordType/012j0000000tcfoAAA\"},\"DeveloperName\":\"Investment_Services\",\"Name\":\"Investment Services\",\"Id\":\"012j0000000tcfoAAA\"}},\"friendlyJobName\":\"data-engineer-investment-services\",\"formattedTeam\":\"Data Science & Analytics | Data Engineering | Technology Innovation\",\"formattedLocation\":\"Warsaw, PL\",\"formattedArea\":\"Research, Data & Analytics | Technology & Engineering\"}');