

Technology – Industrials & Energy Sector – Data Engineering – Senior Manager
As a Senior Manager in Data Engineering, you will design and build analytics solutions that deliver significant business value. You will collaborate with a diverse team of data and analytics professionals, management, and stakeholders to ensure that our solutions meet business requirements. Your role will also involve understanding and translating business needs into technical requirements, ensuring that our development aligns with the intended design.
Your key responsibilities
In this role, you will be responsible for the effective management and delivery of complex processes and solutions. You will navigate operational dynamics while maintaining a focus on quality and risk management. Your responsibilities will include:
Solution Recommendation:Utilize your strong background to recommend and lead cloud-based and data engineering solutions, addressing complex technical challenges and ensuring optimal performance.
Pre-Sales and RFPs:Engage in pre-sales activities and contribute to RFP responses by developing and articulating advanced data engineering solutions that address client needs and demonstrate the value of our offerings.
Data Requirements and Validation:Define data requirements, manage the ingestion of structured and unstructured data, and validate data using tools and methodologies in a Big Data environment.
Technical Leadership:Evaluate, implement, and deploy emerging tools and processes to enhance data engineering capabilities. Develop and deliver communication and education plans on data engineering standards and practices.
Digital and Cloud Modernization:Lead digital transformation and cloud modernization efforts, leveraging cloud-native technologies and practices to improve data engineering solutions and processes.
Stakeholder Collaboration:Partner with Business Analytics, Solution Architects, Data Scientists, and AI/ML engineers to design and deliver data solutions that support advanced analytics, machine learning, and predictive modelling.
This position may require regular travel to meet with external clients, providing you with the opportunity to engage directly with stakeholders and drive impactful solutions.
Skills and attributes for success
To excel in this role, you will need a blend of technical and interpersonal skills. The following attributes will make a significant impact:
Cloud Solutions Expertise:Strong background in designing and implementing cloud-based data solutions using AWS, Azure, Databricks, and other relevant cloud technologies.
AI/ML Integration:Experience with AI/ML technologies, including machine learning, large language models (LLM), and integration of AI/ML capabilities into data engineering workflows.
Data Engineering Proficiency:Extensive knowledge of data engineering principles, including building and optimizing data pipelines, and managing data architectures.
Technical Skills:Proficiency in programming languages such as Python and Pyspark, and experience with distributed data technologies and API development.
Pre-Sales and Proposal Management:Proven experience in pre-sales activities and contributing to RFP responses, with a track record of developing solutions that align with client requirements.
Experience in leading digital transformation and cloud modernization initiatives, leveraging cloud-native technologies and practices.
To qualify for the role, you must have
Ideally, you’ll also have
What we offer you
משרות נוספות שיכולות לעניין אותך

Technology – Systems Implementation and Engineering – Application Design and Development – Manager
In this role, you will be responsible for identifying and defining user/customer requirements while focusing on developing user interfaces (UI) across various platforms including mobile, web, and tablets. You will engage in coding, programming, and creating specifications to deliver development services that align with business requirements.
As a Manager in Application Design and Development, you will lead the effective management and delivery of processes, solutions, and projects, ensuring a strong focus on quality and risk management. This role presents exciting challenges and opportunities for growth, allowing you to apply your expertise in guiding others and recommending quality solutions. You will engage regularly with external clients, actively participating in working sessions and leading workstreams from planning through execution and closure. Travel may be required as needed by external clients.
To thrive in this role, you will need a blend of technical and business skills that will make a significant impact. Your ability to build and manage relationships, communicate effectively, and lead teams will be essential.
To qualify for the role, you must have
Ideally, you’ll also have
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
משרות נוספות שיכולות לעניין אותך

Technology – Industrials & Energy Sector – Data Engineering – Senior Manager
As a Senior Manager in Data Engineering, you will design and build analytics solutions that deliver significant business value. You will collaborate with a diverse team of data and analytics professionals, management, and stakeholders to ensure that our solutions meet business requirements. Your role will also involve understanding and translating business needs into technical requirements, ensuring that our development aligns with the intended design.
Your key responsibilities
In this role, you will be responsible for the effective management and delivery of complex processes and solutions. You will navigate operational dynamics while maintaining a focus on quality and risk management. Your responsibilities will include:
Solution Recommendation:Utilize your strong background to recommend and lead cloud-based and data engineering solutions, addressing complex technical challenges and ensuring optimal performance.
Pre-Sales and RFPs:Engage in pre-sales activities and contribute to RFP responses by developing and articulating advanced data engineering solutions that address client needs and demonstrate the value of our offerings.
Data Requirements and Validation:Define data requirements, manage the ingestion of structured and unstructured data, and validate data using tools and methodologies in a Big Data environment.
Technical Leadership:Evaluate, implement, and deploy emerging tools and processes to enhance data engineering capabilities. Develop and deliver communication and education plans on data engineering standards and practices.
Digital and Cloud Modernization:Lead digital transformation and cloud modernization efforts, leveraging cloud-native technologies and practices to improve data engineering solutions and processes.
Stakeholder Collaboration:Partner with Business Analytics, Solution Architects, Data Scientists, and AI/ML engineers to design and deliver data solutions that support advanced analytics, machine learning, and predictive modelling.
This position may require regular travel to meet with external clients, providing you with the opportunity to engage directly with stakeholders and drive impactful solutions.
Skills and attributes for success
To excel in this role, you will need a blend of technical and interpersonal skills. The following attributes will make a significant impact:
Cloud Solutions Expertise:Strong background in designing and implementing cloud-based data solutions using AWS, Azure, Databricks, and other relevant cloud technologies.
AI/ML Integration:Experience with AI/ML technologies, including machine learning, large language models (LLM), and integration of AI/ML capabilities into data engineering workflows.
Data Engineering Proficiency:Extensive knowledge of data engineering principles, including building and optimizing data pipelines, and managing data architectures.
Technical Skills:Proficiency in programming languages such as Python and Pyspark, and experience with distributed data technologies and API development.
Pre-Sales and Proposal Management:Proven experience in pre-sales activities and contributing to RFP responses, with a track record of developing solutions that align with client requirements.
Experience in leading digital transformation and cloud modernization initiatives, leveraging cloud-native technologies and practices.
To qualify for the role, you must have
Ideally, you’ll also have
What we offer you
משרות נוספות שיכולות לעניין אותך