Data Engineering Tech Lead Job at Lingaro

Data Engineering Tech Lead-Azure

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

A bachelor's or master’s degree in computer science, Information Systems, or a related field is typically required
Minimum of 8-10 years of experience in data engineering or a related field
Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, R or Scala
Practical experience with Microsoft Azure cloud and Databricks platform
Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
Proven experience in leading and managing a team of data engineers
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Strong project management skills
Excellent problem-solving and analytical skills
Knowledge of data security and privacy regulations

Job Responsibility

Efficient and effective project delivery is the primary responsibility of the tech lead
Provide leadership and guidance to the data engineering team, including mentoring, coaching, and fostering a collaborative work environment
Set clear goals, assign tasks, and manage resources to ensure successful project delivery
Work closely with developers to support them and improve data engineering processes
Support team members with troubleshooting and resolving complex technical issues and challenges
Utilize and promote Generative AI tools to accelerate project delivery
Provide technical expertise and direction in data engineering
Collaborate with stakeholders to understand project requirements, define scope, and create project plans
Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
Act as a trusted advisor for the customer

What we offer

Stable employment
100% remote
Flexibility regarding working hours
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Grow as we grow as a company
A diverse, inclusive, and values-driven community

Fulltime

Tech Lead - Software Engineering, Data Platform

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

5 years of experience in leading and managing engineering teams
Practical experience in object-oriented programming, design patterns, software architecture
Knowledge about algorithms and data structures, with focus on solving complex problems
Ability to write well designed and testable code
Proficiency in Python and Spark
Expert knowledge of Azure data services and frameworks, such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage
Familiarity with data warehousing and business intelligence concepts and methodologies
Ability to work independently and in a team
Degree in Computer Science, Information Technology, Engineering, or related field
Strong ability to work independently, manage your own priorities, and deliver under ambiguity

Job Responsibility

Lead and mentor a team of platform engineers in delivering high-quality solutions using Python, Object Oriented Programming and Spark
Design and delivery of software solutions using Azure data services and frameworks, such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Microsoft Fabric and more
Work with stakeholders and Product Managers to understand required platform capabilities
Support End to end Platform roadmap planning and delivery together with Product Managers
Own platform lifecycle management, including upgrades, operational stability, reliability, and continuous improvements
Drive solution design, testing, troubleshooting, deployment, and operational excellence across Azure environments
Provide technical leadership, coaching, and knowledge sharing across engineering teams and platform users
Stay updated with the latest Azure data technologies and best practices
Ensure that the platform is scalable, reliable, secure, and compliant with the organization standards and policies
Collaborate closely with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions - including data products that feed AI/ML models built on Databricks

What we offer

Coaching and mentoring programs
Development opportunities
Equal opportunity employer
IT Equipment
Work with iconic brands
Supportive team

Fulltime

Tech Lead - Data Solutions & Data Products

The Tech Lead – Data Solutions & Data Products is a senior technical leader resp...

Location

India , Hyderabad; Bangalore

Salary:

Not provided

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

6 to 10 years of experience in data engineering, data architecture, or data platform roles
Proven experience architecting and delivering data solutions on AWS and GCP
Strong hands‑on experience building production‑grade data pipelines and data products
Deep understanding of: Data modeling and analytics patterns
Batch and streaming architectures
Cloud‑native design principles
Strong programming skills (e.g., Python, SQL) and experience with modern data frameworks
Ability to make sound architectural decisions under real‑world constraints

Job Responsibility

Data Solution Architecture (AWS & GCP)
Data Product Development Leadership
Technical Guidance & Team Leadership
Platform & Engineering Collaboration
Non‑Functional Excellence
Stakeholder Engagement & Technical Communication

What we offer

Retirement savings plan
Health insurance
Flexible schedules
Parental leave
Holiday purchase scheme
Professional development opportunities
Employee Assistance Programme

Fulltime

Gen Ai Tech Engineering Lead - Senior Vice President

This role is for an innovative Generative AI Engineer to drive the adoption of L...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on experience in engineering and executing enterprise solutions that scale effectively
Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript/Typescript and Golang is also highly valued
Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms
Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), Flask, LangChain, LangGraph, ADK, and MLFlow
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
Experience with messaging and integration platforms like Kafka or JMS/MQ
UI development skills with technologies such as React JS or StreamLit
Experience designing and implementing REST and WebSocket APIs
Familiarity with one of the major cloud platforms including AWS, GCP, or Azure
Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm

Job Responsibility

Contribute significantly to both engineering and research initiatives within the Generative AI domain
Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy
Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs)
Drive the enterprise-wide adoption and successful integration of Generative AI solutions
Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuously acquiring new skills
Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders
Be adaptable and resourceful in navigating complex technical and organizational challenges

Fulltime

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

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

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