VP Data Engineer Job at Barclays (Pune)

Vp, Data Engineer

This position sits within BlackRock’s Private Markets Data Engineering (PMDE) te...

Location

Serbia , Belgrade

Salary:

Not provided

BlackRock Investments

Expiration Date

September 17, 2026

Requirements

Proven experience in senior technical roles, with deep hands-on expertise in Snowflake, SQL, and Python
Demonstrated leadership experience in senior technical roles, including leading complex initiatives and providing technical direction to other engineers, with or without direct line management
Strong track record of working with data engineers and BI analysts
Deep understanding of data architecture, pipeline design (preferably dbt), pipeline tooling (e.g., Dagster, Airflow), and cloud platforms (Azure or AWS preferred)
Demonstrated ability to engage and influence stakeholders at all levels, with exceptional communication and interpersonal skills
Experience translating business requirements into scalable technical solutions
Comfortable operating in a fast-paced, dynamic environment, balancing long-term technical direction with immediate delivery needs
Prior experience with AI/ML projects, infrastructure as code (e.g., Terraform), and CI/CD pipelines

Job Responsibility

Provide hands-on technical leadership across the PMDE team, acting as a technical authority for data architecture and engineering decisions, and fostering a culture of excellence, collaboration, and continuous improvement
Architect and oversee the development of scalable, reliable data pipelines and analytics platforms, with accountability for end-to-end technical design, quality, and long-term sustainability, with a strong focus on Snowflake, SQL, and Python
Influence technical prioritisation and solution design based on business impact and strategic alignment, partnering with product and delivery leads on sequencing and trade-offs
Influence and engage senior stakeholders, representing the technical point of view and making clear architectural recommendations while communicating complex technical concepts in business-relevant terms
Collaborate with business stakeholders to translate strategic objectives into actionable data initiatives, ensuring alignment with Preqin’s and BlackRock’s broader vision
Champion best practices in data management, governance, and security, leveraging automation, cloud technologies, and modern engineering principles
Drive the adoption of advanced analytics and AI/ML solutions, integrating technical innovation with business value
Oversee technical delivery and architectural coherence across initiatives, prioritising work based on data-driven insights and business outcomes
Promote a collaborative environment, bridging the gap between technical and business teams

What we offer

Retirement investment and tools designed to help you in building a sound financial future
Access to education reimbursement
Comprehensive resources to support your physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)

Fulltime

Full-Stack Senior Software Engineer, GenAI Data Products and Platform (VP)

This is your chance to build the foundational systems for 'Citi Assist', a Gener...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong experience building and deploying production applications across the full stack
Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus)
Deep experience working with data—whether that's building data pipelines, designing analytics systems, or creating data-driven products
Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular
Strong SQL skills and experience with relational databases like Postgres
Experience building backend services and APIs that handle data at scale
Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes)
Strong understanding of CI/CD pipelines, testing frameworks, and automation
Experience with data visualisation tools and techniques

Job Responsibility

Build the tools that make Assist great
Work with data across the full stack
Own your features end to end
Build with safety and quality in mind
Set the technical direction
Be a great teammate

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

Vp Low-Latency Electronic Trading Java Data Systems Engineer

Citi’s Equities Technology organization is seeking a Low‑Latency Java Data Syste...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Minimum 7 years of experience with strong technical knowledge and expertise in Low latency Java, C++ or Rust
Hands-on experience with market data and/or order lifecycle event processing
Solid working knowledge of the FIX protocol and exchange connectivity patterns
Experience in integrating real-time systems with KDB+/q or equivalent time series platforms
Prior experience in developing electronic trading platforms in a global financial institution or equivalent environment
Strong understanding of automated testing techniques and quality engineering practices
Solid understanding of Agile methodologies and Continuous Integration processes
Familiarity with low-latency system design, including performance optimization, concurrency, and high-throughput architecture
Ability to prioritize multiple tasks, set goals, and meet deadlines in a fast-paced, globally distributed environment
Excellent communication skills with a demonstrable ability to present and grasp complex concepts in a multicultural, cross-regional environment

Job Responsibility

Design and build low-latency Java data pipelines that process order lifecycle and market data events with strict guarantees around ordering, sequencing, determinism, and replay
Develop GC-sensitive, data-plane Java systems, using off-heap memory, binary protocols, and low-contention concurrency to achieve predictable latency
Implement resilient fan-out, back-pressure, and recovery mechanisms to support multiple downstream consumers without compromising latency or correctness
Work directly with FIX and exchange-driven message flows, handling sequencing gaps, snapshot/replay, session lifecycle, and state reconstruction
Own and reason about explicit latency budgets end-to-end (wire → handler → publish → downstream), including p99/p999 behavior and jitter
Integrate real-time and near-real-time event streams into KDB+ / q-based data platforms for analytics, TCA, and regulatory use cases
Build deterministic test and validation frameworks (replay, fault injection, regression detection) and contribute to CI/CD pipelines with performance and correctness gating

Fulltime

Senior GenAI Data VP – Market Data

Embark on a transformative journey as a Senior GenAI Data VP – Market Data at Ba...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Experience with design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks
Ability to manage strategy and integration of market data platforms (FactSet, LSEG, Bloomberg, S&P Capital IQ), ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases
Experience with designing and overseeing scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle
Ability to establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment
Stakeholder management skills to support business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions, defining best practices for evaluation metrics, MCP integration, and scalable data integration across GenAI systems

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused 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

medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award
competitive holiday allowance
private medical care
pension contribution

Fulltime

Key Management Senior Engineer (VP)

The Key Management Senior Engineer is a senior engineering position responsible ...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Enhanced experience on cryptographic key management (manual and automated)
Familiar with cryptographic interfaces and formats like PKCS
Experience with cryptographic products (e.g. Hardware Security Modules or Key Management solutions like Fortanix)
Familiar with common scripting and programming languages
Experience with key management systems used by major cloud providers
Relevant experience in an Engineering role
Experience working in Financial Services or a large complex and/or global environment
Experience with enterprise-wide projects
Consistently demonstrates clear and concise written and verbal communication
Demonstrated analytic/diagnostic skills

Job Responsibility

Ensure the goals of Data Security Engineering department are delivered
Execution of IT strategy and roadmap for Key Management Systems
Ensure operational readiness and conformance to global standards for ongoing operation and support
Utilize an in-depth understanding of how engineering integrates within technology and commercial awareness
Train and coach junior team members
Make evaluative judgment based on analysing information in complicated or unique situations
utilizing multiple sources of information
Impact engineering through overseeing planning, finances / budget, end results and policy setting
Negotiate with senior leaders across functions and with external parties, as required
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

What we offer

Hybrid working model (up to 2 days working at home per week)
Competitive base salary (which is annually reviewed)
27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Vp Data

Lead and scale Mirakl’s Data organization to build the Data, AI, and Agentic Fou...

Location

France , Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

10–15 years in data, AI, or platform organizations, leading high-performing cross-functional teams (platform, analytics, AI)
Proven track record building data platforms and analytics systems that drive business decisions and power product experiences
Experience delivering data and analytics products (semantic layers, metrics, business-facing models)
Strong understanding of data + AI ecosystems (analytics, LLMs, agents) and their business impact
Experience operating production systems in cloud environments, in close collaboration with MLOps and AI/agent teams

Job Responsibility

Lead the Data Organization
Scale and manage Data teams across platform, analytics, and AI foundations
Define and execute the Data, AI, and Agentic Foundations strategy
Own a €3M+ budget (infra, tooling, scaling)
Drive alignment across AI, Product, Engineering, and Business
Ensure execution, prioritization, and delivery at scale
Build Data Foundations
Deliver a scalable, secure, governed data platform (100s of TBs)
Structure data raw → silver → gold for analytics and AI
Ensure data quality, reliability, observability, and security

Fx Software Engineer Vp

Join us as a Software Engineer where you will design, develop and improve softwa...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Building UI's with React
Understanding of FX Trading data
Excellent communication skills across different teams in an organisation

Job Responsibility

Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Senior Engineer VP - Digital Assets

Embark on a transformative journey as a Senior Engineer VP - Digital Assets. At ...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Proven experience designing and building tokenized deposits, bonds, repos, stablecoins, and related digital asset systems in a regulated financial institution
Practical expertise across L1s/L2s, smart contracts, cryptographic services, and interoperability frameworks
Good understanding of token standards, and on-chain settlement concepts
Comfortable owning technical solutions end-to-end, from design and development through testing, deployment, and continuous improvement
Apply DevSecOps discipline, including CI/CD, secrets management, cloud security, and automated testing
Confident using AI-enabled engineering and productivity tooling to accelerate delivery, improve code quality, enhance decision-making and mitigate technology and operational risk

Job Responsibility

Design and develop secure, scalable platforms that enable tokenization, wallet-driven workflows, smart contract functionality, and seamless integration with core enterprise systems
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools
Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements
Devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability

What we offer

Medical, dental and vision coverage
401(k)
Life insurance
Other paid leave for qualifying circumstances
Incentive award
Competitive holiday allowance
Private medical care
Pension contribution

Fulltime

Select Country

VP Data Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

VP Data Engineer

Vp, Data Engineer

Full-Stack Senior Software Engineer, GenAI Data Products and Platform (VP)

Vp Low-Latency Electronic Trading Java Data Systems Engineer

Senior GenAI Data VP – Market Data

Key Management Senior Engineer (VP)

Vp Data

Fx Software Engineer Vp

Senior Engineer VP - Digital Assets

Our AI answers in your language