Data Engineer - Python, AI Job at Citi (Pune)

Senior Python Engineer (Data Engineering & AI Agents)

Our client is a leading global investment management company headquartered in Lo...

Location

Poland; Spain; United Kingdom

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

6+ years building production software in Python, with strong engineering fundamentals (testing, performance, clean design)
Solid data engineering: SQL, columnar formats (e.g. Parquet), pipeline design, and handling datasets large enough that naive approaches don’t scale
Hands-on experience with at least one analytical or query engine (e.g. DuckDB, Trino, Spark, ClickHouse)
Real experience building LLM / agent applications: retrieval (RAG), vector databases, and tool / function calling
A working understanding of data governance: cataloguing, metadata, lineage, and access control (RBAC / ABAC)
An instinct for data quality and trustworthy "golden" sources

Job Responsibility

Build production-grade Python services and data pipelines over large data stores (columnar / time-series and relational), and the queries that join across them
Select and implement the right query or analytical engine for each workload, rather than defaulting to one
Build catalogue, metadata, lineage and semantic layers that make data discoverable and consistently understood across teams
Implement access control that travels with the data: fusing sensitivity and licensing scope, enforced at the point of use, including for AI agents
Build agent-facing data access: retrieval (RAG), vector search, and APIs / MCP servers, with permissions applied before context reaches the model
Apply LLMs pragmatically to data work (metadata generation, classification, entity resolution) with humans in the loop and evaluate the quality of what the agents produce
Help keep data trustworthy: establish golden sources, deduplication and data-quality checks at the source
Contribute to discovery and solutioning: assessing current state, weighing build-vs-adopt, and shaping pragmatic, costed plans

Fulltime

Senior Python Engineer (Data Engineering & AI Agents)

Our client is a leading global investment management company headquartered in Lo...

Location

Poland; Spain; United Kingdom

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

6+ years building production software in Python, with strong engineering fundamentals (testing, performance, clean design)
Solid data engineering: SQL, columnar formats (e.g. Parquet), pipeline design, and handling datasets large enough that naive approaches don't scale
Hands-on experience with at least one analytical or query engine (e.g. DuckDB, Trino, Spark, ClickHouse)
Real experience building LLM / agent applications: retrieval (RAG), vector databases, and tool / function calling
A working understanding of data governance: cataloguing, metadata, lineage, and access control (RBAC / ABAC)
An instinct for data quality and trustworthy golden sources

Job Responsibility

Build production-grade Python services and data pipelines over large data stores (columnar / time-series and relational), and the queries that join across them
Select and implement the right query or analytical engine for each workload, rather than defaulting to one
Build catalogue, metadata, lineage and semantic layers that make data discoverable and consistently understood across teams
Implement access control that travels with the data: fusing sensitivity and licensing scope, enforced at the point of use, including for AI agents
Build agent-facing data access: retrieval (RAG), vector search, and APIs / MCP servers, with permissions applied before context reaches the model
Apply LLMs pragmatically to data work (metadata generation, classification, entity resolution) with humans in the loop and evaluate the quality of what the agents produce
Help keep data trustworthy: establish golden sources, deduplication and data-quality checks at the source
Contribute to discovery and solutioning: assessing current state, weighing build-vs-adopt, and shaping pragmatic, costed plans

Fulltime

Senior Generalist (Python, Data) Engineer - Healthcare AI Platform

We are looking for a senior hands-on engineer to own and maintain a sophisticate...

Location

United States

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

6+ years of hands-on engineering experience with production systems
Generalist mindset, comfortable across backend development, data pipelines, and cloud infrastructure
Strong production Python skills and solid software engineering fundamentals
Hands-on experience with AWS (S3, Lambda, ECS, SQS, Bedrock, RDS or similar)
Experience with analytical data pipelines (SQL, Spark) and data processing at scale
Experience with Infrastructure as Code (Terraform, CDK, or CloudFormation)
Experience with AI-assisted development workflows (Claude Code or alternatives), not just autocomplete
Experience maintaining and scaling systems in production, not just building POCs
Autonomous working style, you don't need a project manager to tell you what to do next
US-based, required due to project compliance and data security constraints

Job Responsibility

Maintain, improve, and extend an AI platform already running in production
Handle a mix of backend development, data engineering, DevOps, and infrastructure work
Translate business and product requirements into technical decisions independently
Work directly with internal stakeholders and consumer teams
Establish and maintain engineering best practices for the platform
Identify and resolve technical issues as the first line of defense

What we offer

Full ownership of a production AI platform
Remote-first, fully flexible work environment
Annual performance bonus
Health, dental, vision, 401(k) with company match, unlimited PTO
Long-term engagement
this role extends beyond the initial project

Senior Python Engineer (Data Engineering & AI Agents)

Our client is a leading global investment management company headquartered in Lo...

Location

Poland; Spain; United Kingdom

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

6+ years building production software in Python, with strong engineering fundamentals (testing, performance, clean design)
Solid data engineering: SQL, columnar formats (e.g. Parquet), pipeline design, and handling datasets large enough that naive approaches don't scale
Hands-on experience with at least one analytical or query engine (e.g. DuckDB, Trino, Spark, ClickHouse)
Real experience building LLM / agent applications: retrieval (RAG), vector databases, and tool / function calling
A working understanding of data governance: cataloguing, metadata, lineage, and access control (RBAC / ABAC)
An instinct for data quality and trustworthy 'golden' sources

Job Responsibility

Build production-grade Python services and data pipelines over large data stores (columnar / time-series and relational), and the queries that join across them
Select and implement the right query or analytical engine for each workload, rather than defaulting to one
Build catalogue, metadata, lineage and semantic layers that make data discoverable and consistently understood across teams
Implement access control that travels with the data: fusing sensitivity and licensing scope, enforced at the point of use, including for AI agents
Build agent-facing data access: retrieval (RAG), vector search, and APIs / MCP servers, with permissions applied before context reaches the model
Apply LLMs pragmatically to data work (metadata generation, classification, entity resolution) with humans in the loop and evaluate the quality of what the agents produce
Help keep data trustworthy: establish golden sources, deduplication and data-quality checks at the source
Contribute to discovery and solutioning: assessing current state, weighing build-vs-adopt, and shaping pragmatic, costed plans

Ai Engineer Ii & Senior Ai Engineer - Getting Customers Ready For Ai

Security represents the most critical priorities for our customers in a world aw...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Must pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, build, and improve AI-powered solutions, including machine learning models, LLM-based applications, RAG systems, and agentic workflows that solve customer and business challenges
Develop and operate scalable data pipelines, ETL processes, training datasets, and AI infrastructure to support model development, deployment, and lifecycle management
Deploy, monitor, and optimize AI systems using MLOps practices, leveraging telemetry and feedback to improve performance, reliability, security, and scalability
Transform large-scale, multi-source data into contextual intelligence, automation, and decision-support capabilities that drive customer and business outcomes
Build and integrate AI capabilities into applications, services, APIs, and platforms to deliver end-to-end customer experiences
Contribute to AI readiness initiatives through frameworks, metrics, telemetry, and solutions that help customers securely adopt and operationalize AI technologies
Demonstrate a builder mindset by rapidly prototyping, experimenting, and iterating on AI solutions while navigating ambiguity and evolving requirements
Partner across engineering, data science, product, and customer teams to translate complex problems into practical, AI-driven solutions
Write maintainable, well-tested code and contribute to engineering excellence through documentation, operational rigor, governance, and adherence to security, compliance, and Responsible AI practices
Embody our culture and values

Fulltime

Data Engineer (Big Data, Python, Databricks) - Assistant Vice President

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai, Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant handson experience in Big Data technologies like Cloudera, Python, HQL, Java/PySpark
Knowledge on Machine Learning, AI would be added advantage
Experience in systems analysis, data analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Ai Data Engineer - Kdb

We’re seeking an AI Data Engineer to lead on building next‑generation analytics ...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Seasoned engineer who has delivered impactful AI initiatives with demonstrable positive return on investment
Previous experience working at the forefront of technological evolution, adapting as paradigms have shifted
Clear vision for applying AI within front‑office trading systems, with a strong understanding of the practical challenges and intricacies involved
Hands-on development experience with Python
Deep understanding of front office trading workflows, low-latency architectures, market data dynamics, and the operational challenges of integrating AI into real-time trading environments
Demonstrated track record of evolving with emerging technologies and leading adoption of new paradigms, with the ability to translate cutting-edge AI capabilities into practical, production-ready solutions

Job Responsibility

Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Senior Software Engineer - Data (Python, AWS)

Location

Austria , Vienna

Salary:

Not provided

Sportradar

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery
Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders
AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing
Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics
Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems
Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements
Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows
Dashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders
GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants

Job Responsibility

Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights
Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems
Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions

What we offer

Collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US)
Ability to shape your own workday and career via a clearly defined professional and personal development plan
Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
Company culture that promotes social aspects, sports, physical exercise and fun
Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions
Competitive salary and benefits (e.g. retirement pension and insurance plan)
Sportradar takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you

Fulltime

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Data Engineer - Python, AI

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