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Data Engineer, Investment Services

at Point72

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Hedge Funds

Data Engineer, Investment Services

at Point72

Mid LevelNo visa sponsorshipData Engineering

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Warsaw
Country
Poland

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.

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Data Engineer, Investment Services Career
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P72 Careers - Header
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What We Do
Learn about the strategies and asset classes that make up our global business.
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Leadership
Meet the team responsible for shaping our firm.
Locations
Find us in financial hubs across the globe as we pursue the world’s best talent.
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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

  • 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/.



Apply Now

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  • Education background
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P72 Careers - Footer
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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/.


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Data Engineer, Investment Services

at Point72

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Hedge Funds

Data Engineer, Investment Services

at Point72

Mid LevelNo visa sponsorshipData Engineering

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Warsaw
Country
Poland

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.

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Data Engineer, Investment Services Career
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P72 Careers - Header
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What We Do
Learn about the strategies and asset classes that make up our global business.
Our Values
See how we support our people, communities, and the planet through our ESG efforts.
Leadership
Meet the team responsible for shaping our firm.
Locations
Find us in financial hubs across the globe as we pursue the world’s best talent.
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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

  • 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/.



Apply Now

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  • Education background
Apply Now

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P72 Careers - Footer
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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/.


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