Tech Lead - Software Engineering, Data Platform Job at Coca-Cola HBC (Cairo)

Data Engineering Lead - Reporting and Analytics - Vice President

Are you looking for a career move that will put you at the heart of a global fin...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong experience in building high scalable, reliable dashboards covering suite of industry products like Tableau, AG Grid, Oracle and Java
Well versed with Front end - React, Angular and Back end Tech stack
Experience in all aspects of Data using Python for Reconciliations, Data Comparison, Data Quality and Data Security for SAAS or Cloud based platform
Relevant experience in leading development for enterprise scale platforms, products, or frameworks preferably using Unix/SQL/Oracle/NoSql/Netezza/Teradata
Strong experience in managing development activities for applications with huge Data and complex rules/transformations
Demonstrated experience in collaborating with different teams to ensure proactive Cross application/downstream impact analysis, responsible for creating test plans and strategy across multiple business critical applications in Finance
Experience with existing Citi applications, implementations and Configurations

Job Responsibility

Leading the buildout of Engineering tools, real time dashboards using Tableau, AG Grid, Java, Unix and Oracle
Build AI capabilities for all qualified used cases
Performing initiatives related to Development, Functional Testing, SIT, User Acceptance Testing (UAT) process and product rollout into production
You will be a specialist who works with technology project managers, UAT professionals and users to design and implement appropriate scripts/plans for an application testing strategy/approach
Responsibilities may also include software quality assurance testing
Analyses trends at an organizational level to improve data related processes
follows and analyses AI industry trends and how to fit those in Citi ecosystem
Responsible for handling day-to-day staff management issues, including resource management and allocation of work within the team/project

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
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

AI Engineering Tech Lead - AI Foundations

monday.com is seeking an experienced, versatile AI Engineering Tech Lead to join...

Location

Israel , Tel-Aviv

Salary:

Not provided

monday.com

Expiration Date

Until further notice

Requirements

Strong technical skills and a passion for developing features end-to-end (client and server)
5+ years in Software Engineering roles
Strong experience building and owning production-grade, full-stack systems
Proven ability to design scalable systems and make sound architectural tradeoffs
Hands-on experience building or integrating AI agents and workflows
Comfort operating in ambiguous problem spaces with high business impact
Strong collaboration and communication skills when working with cross-functional teams
High ownership, accountability, and engineering standards
Degree in Computer Science (not a must
we're always looking for super talented people)

Job Responsibility

Design and develop scalable AI infrastructure that supports various AI products
Collaborate with cross-functional teams to integrate AI solutions into existing systems
Tackle complex engineering challenges and contribute to the evolution of our AI capabilities
Mentor junior engineers and share best practices to foster a culture of continuous learning
Designing, building, and owning systems that transform customer and business data into actionable insights
Building full-stack products and platforms that teams rely on for decision-making
Owning systems from data ingestion to user-facing experiences

Fulltime

AI Engineering Tech Lead

At monday.com, we help teams get more work done. We are the best AI work platfor...

Location

Israel , Tel-Aviv

Salary:

Not provided

monday.com

Expiration Date

Until further notice

Requirements

Strong proven technical skills and a passion for developing tools that engineers love and use every day, developing AI-integrated features end-to-end (client and server)
7+ years of experience building complex web applications and scalable backend systems
Technical leadership experience (Architect, Tech Lead, or similar roles) with a focus on platform engineering or developer productivity
Ability to collaborate with teammates and R&D leads across the organization to brainstorm, set productivity targets, and devise AI-driven solutions
Great "Developer Sense," a passion for building internal software that provides a seamless, frictionless experience for fellow engineers
Focus on quality and simplicity in architecting tools that solve high-friction problems without adding complexity
A "growth mindset," including strong analytical, inquisitive, and data-driven experiences with LLMs and automation
Team player, strong communication skills, and empathetic toward the challenges faced by modern engineering teams
Degree in Computer Science (not a must)

Job Responsibility

Build a shared vision with the DevEx and Core Engineering leadership for AI-driven developer tooling, supporting development by prototyping agents and workflows while serving as a subject matter leader for internal R&D efficiency
Work closely with Product and R&D stakeholders, taking full responsibility and ownership from conception to post-deployment of AI tools that automate and optimize the daily lives of our engineers
Work with a team of experienced and highly talented developers in a CI/CD environment, leveraging LLMs and agentic frameworks to redefine the developer experience
Spearhead the development of new internal features and AI agents—from automated code reviews to intelligent debugging tools—taking ownership of the entire development lifecycle
Contribute to the overall technical strategy and roadmap of our internal platform, driving initiatives that leverage AI to improve developer velocity, code quality, and system reliability
Promote a culture of innovation and ongoing growth, inspiring the team to explore how emerging AI technologies can solve complex engineering bottlenecks
Continuously monitor and analyze developer feedback and internal productivity metrics to identify areas for optimization and tool refinement

Software Engineering lead - Vice President

The team lead plays a meaningful role in crafting and maintaining the strategic ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience as a Software Engineer/Developer using Java
Experience mentoring and providing technical leadership for teams of 5 or more developers
Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
Clear understanding of Data Structures and Object Oriented Principles using Java
Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.)
Inclination and knowledge of latest AI tools (Copilot, Cursor, Devin etc.) and their usage in Enterprise Software development
Knowledge of Gen AI Platforms such as vertex.ai, openai etc.
Multiple years of experience on Service Oriented and MicroServices architectures, including REST and GraphQL implementations
Multiple years of experience with frameworks like Spring Boot, Spring Batch, REST, Microservices architecture

Job Responsibility

Code contributing leader of an Agile team, working to deliver sprint goals, as well as conduct personnel duties for team (e.g., performance evaluations, hiring, promotions and disciplinary actions)
Design, document, and develop world-class enterprise applications leveraging the latest technologies and design patterns
Provide strategic influence and exercise control over team resources, budget management and planning, while monitoring end results
Utilize in-depth knowledge of concepts and procedures within your own area and basic knowledge of other areas to resolve issues
Ensure essential procedures are followed and contribute to defining standards
Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
Influence and negotiate with senior leaders across functions, as well as communicate with external parties, as necessary
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 behavior, 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

Fulltime

Salesforce Tech Lead - Data & AI

We are seeking a visionary and hands-on Senior Engineer / Tech Lead to lead the ...

Location

United States , Boston; Plano; St. Petersburg; Atlanta; Morristown

Salary:

127000.00 - 169000.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

7+ years of experience in software engineering, with a strong focus on Salesforce and data-intensive applications
Proven experience integrating Salesforce with enterprise data platforms and building AI/ML-enabled features
Hands-on experience with Salesforce Data Cloud and agent frameworks like Agentforce
Proficiency in Apex, Lightning Components, Salesforce APIs, and data engineering tools
Experience with AI/ML platforms (e.g., Azure ML, AWS SageMaker, Einstein AI) and model deployment strategies
Strong understanding of data architecture, governance, and security
Excellent communication and stakeholder management skills

Job Responsibility

Design and develop intelligent solutions using Salesforce Data Cloud to unify, activate, and analyze customer data across channels
Lead the deployment and orchestration of autonomous agents, such as Agentforce, to automate workflows, enhance user experiences, and drive operational efficiency
Architect AI/ML-enabled features within Salesforce, including predictive analytics, intelligent routing, and generative AI applications
Build scalable data pipelines and APIs to support real-time and batch data flows between Salesforce and other enterprise systems
Collaborate with data scientists and analysts to operationalize models within Salesforce workflows and ensure business impact
Own the full development lifecycle: from design and prototyping to implementation, testing, deployment, and support
Ensure data governance, security, and compliance across all integrations and AI applications
Establish and enforce engineering best practices, including CI/CD, testing, documentation, and performance optimization
Mentor junior engineers and foster a culture of innovation and technical excellence
Stay current with Salesforce platform updates, AI/ML trends, and data technologies to inform roadmap and strategy

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

Senior Backend Engineer / Tech Lead (Data Management)

As a Senior Backend Software Engineer at Aignostics, you work hand in hand with ...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Bachelor and/or Master in a relevant field or extensive work experience
6+ years of software development experience in a data intensive environment
Experience leading a technical initiative ideally with cross-team impact
Strong background in software development ideally with Python
Experience with cloud providers (GCP, AWS) and their services
Experience with container orchestration (preferable Kubernetes)
Experience with database systems
Familiar with CI/CD pipelines, code reviews and other standards to keep up code quality
Driven self-starter, well-organized, excellent communication skills and a strong team player

Job Responsibility

Design and develop services and core libraries that enable our SaaS platform
Ensure reliable, high throughput access to our data for machine learning
Maintain and expand our data management infrastructure
Lead initiatives, evaluate new technologies and their integration into our current codebase
Eagerness to take ownership - from inception to completion - without losing focus on the business context
Communicate closely with our frontend and machine learning teams
Perform code reviews, considering readability, design and performance

What we offer

Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
Language classes and internal development programs
Mentoring program
Flexible working hours and teleworking policy
30 paid vacations days per year
Family & pet friendly and support flexible parental leave options
Subsidized membership of your choice among public transport, sports and well-being
Social gatherings, lunches, and off-site events
Optional company pension scheme

New

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
Experience of following TDD and passionate about clean code principles
Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
experience in designing retrieval-augmented solutions is highly preferred
Solid understanding and experience of using data structures, algorithms and SQL
Able to independently work in fast paced and rapidly changing environment
Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Lead Software Engineer, Data Protection

Lead Software Engineer, Data Protection. Do you love building and pioneering in ...

Location

United States , McLean; Plano; Richmond; New York

Salary:

179400.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead the design and build of platform services that centralize how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the DLP program, working in vertical slices that span schema, API, deployment automation, and production validation to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, mentoring other members of the engineering community, and contributing to architectural decisions on data modeling, service boundaries, event design, and operational strategy
Collaborate with digital product managers, security partners, and DLP policy experts, and deliver robust cloud-based platform services that produce consistent, auditable outputs across vendors and channels and satisfy regulatory examination
Utilize programming languages like Go, Python, TypeScript, and SQL, schema validation systems including CUE and JSON Schema, Open Source RDBMS and NoSQL databases (PostgreSQL/Aurora), Container Orchestration services including Docker and ECS Fargate, and a variety of AWS tools and services including Lambda, Step Functions, EventBridge, and CDK

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

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Tech Lead - Software Engineering, Data Platform

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