Senior Data Engineer, Mi-Platform

Point72

United Kingdom

On-siteCareer-pivot friendly

Who this role is best for

Best suited to candidates with strong Python and distributed data processing experience working in financial services and alternative data analytics.

Best fit for

Candidates with 5+ years in data engineering and a background in financial data analytics
— “5+ years of experience in Data Engineering, Software Engineering or related field”
Individuals with a track record in building scalable cloud-based data infrastructure
— “Build scalable AI-native cloud-based infrastructure using distributed systems techniques”
Collaborative professionals who thrive in cross-functional teams with compliance and investment experts
— “In partnership with our investment professionals and Compliance team”

Things to consider

Commitment to ethical standards and compliance is a core requirement, not just a preference
— “Commitment to the highest ethical standards”
The role demands a high level of technical expertise in Python and Spark, with no mention of training or mentorship support
— “Experience with distributed data processing frameworks like Spark”

How to stand out

Highlight experience with end-to-end data pipeline development in your resume and interview responses
— “design, build, and launch robust end-to-end business solutions including data pipelines”
Emphasize your ability to create reusable software components and APIs for rapid deployment
— “Develop reusable software components, libraries, and APIs that enable rapid experimentation”
Showcase your knowledge of AI-native infrastructure and vector/graph databases in your application materials
— “Knowledge of/experience with langraph/langchain or similar frameworks, embedding models, vector, graph databases is a plus”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

robust data pipelines
scalable AI-native infrastructure
compliant data solutions

Typical background

data engineeringsoftware engineeringcloud computing

Skills & requirements

Required

Data EngineeringPythonDistributed Data ProcessingCloud PlatformsAPI Development

Preferred

Ai-native InfrastructureData Quality ControlsCompliance Policies

Stack & domain

PythonSparkAWSGoogle Cloud PlatformAzureAirflowData EngineeringData ScienceMachine LearningData WarehousingSQLOltp/olap/dssData QualityData GovernanceData SecurityData TransformationData CleansingData MovementData ComponentsData AnalysisData ProductsAnalytic EnvironmentsPublic Cloud PlatformsDatabricks Data EngineeringDatabricks Machine LearningLeadershipProblem-solvingCommunicationCollaborationTeamworkTime ManagementPrioritizationFinanceTechnology

About the role

Original posting from Point72 via Greenhouse

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/

Source: Point72 careers (Greenhouse)