Senior Data Engineer, Mi-Platform

Point72 is hiring a Senior Data Engineer, Mi-Platform. Level rates it ; you can apply on Point72.

Level's read on this job

On Level's scale, this data engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions LangChain, Python and Spark among its tools and skills.
Level classes it as a senior role.
Point72 has 199 other open roles on Level.

AI in this role

Design and build scalable AI-native data pipelines, infrastructure, and tools as a Senior Data Engineer on the Market Intelligence team.

LangChainPythonSparkAirflowAWSGoogle CloudAzure

data-engineeringsoftware-engineeringdistributed-systemsapi-developmentcloud-computingmachine-learning

Senior Data Engineer, Proprietary Research

London

A Career with Point72's Market Intelligence team

On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

WHAT YOU'LL DO

Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools.

Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products.
Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment
Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies
Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions
Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements

WHAT’S REQUIRED

5+ years of experience in Data Engineering, Software Engineering or related field
2+ years of strong experience in Python development
Experience with system design and leading multi-person development efforts
Experience with distributed data processing frameworks like Spark
Experience with building scalable APIs, and software applications w/ focus on backend infrastructure
Experience with cloud platforms and services for data storage and compute (for example AWS, Google Cloud Platform, or Azure)
Experience with orchestration technologies like Airflow
Knowledge of/experience with langraph/langchain or similar frameworks, embedding models, vector, graph databases is a plus
A strong drive to staying current with AI advancements and translating emerging techniques into practical, real-world applications.
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:

Private Medical and Dental Insurances
Generous parental and family leave policies
Volunteer opportunities
Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
Mental and physical wellness programmes
Tuition assistance
Non-contributory pension and more

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/

How we rate this

Senior Data Engineer, Mi-Platform at Point72 rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Engineer, Mi-Platform is an open job at Point72.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in United Kingdom.
The job was posted on September 30, 2026.
Seniority: senior.
Applications are handled by Point72. Apply on Point72

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringSoftware EngineeringDistributed SystemsAPI DevelopmentCloud ComputingMachine learningLangChainPython

Also common in data engineer jobs at this level

SQL Machine learning Databricks Generative AI Snowflake Scala

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where api development was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, Software Engineering, Distributed Systems, API Development, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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