דרושים Data Engineers/architects ב-Ey ב-Malta

• Design, implement, and manage cloud infrastructure solutions.
• Utilize Infrastructure as Code (IaC) tools to engineer and manage cloud resources and automate deployments.
• Develop and maintain scripts for automation tasks using scripting languages.
• Collaborate effectively with cross-functional teams, including developers, operations, and business stakeholders, to ensure successful project delivery.
• Monitor and optimize cloud infrastructure performance.
• Implementation and maintenance of containerized environments.
• Maintain and troubleshoot Linux environments to ensure SLAs are met.
• Ability to apply strong problem-solving and troubleshooting skills to identify and resolve issues effectively.

• Proven track record and experience in designing and implementing secure, scalable and reliable cloud resources.
• Proficiency in Microsoft Azure (preferred), AWS, or Google Cloud Platform.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform or Azure Bicep.
• Proficiency with CI/CD pipelines and scripting languages for automation tasks.
• Good understanding of networking concepts and protocols.
• Familiarity with cloud monitoring tools and logging practices.
• Experience with Docker and Kubernetes or Red Hat OpenShift.
• Knowledge of Apache Kafka and Elastic Search will be considered an asset.
• Experience working in Linux environments.
• Strong problem-solving, analytical and troubleshooting skills.
• Ability to work with international and cross-functional teams.
• Excellent communication and presentation skills
• Ability to adapt quickly and positively to change.
• Eager to learn and grow professionally, and stay updated with industry trends and advancements in cloud technologies, pursuing relevant certifications to enhance professional expertise.
• Must have a strong entrepreneurial and team spirit, balanced by a healthy sense of autonomy.

• Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Information Systems, Software Engineering, or other related fields.
• At least 3 years’ experience in systems engineering, Devops engineer, technology consulting, or similar roles.
• Relevant industry cloud certifications considered as an asset (e.g. AZ-104, CKA, CKAD, LPIC-1)
• Excellent English communication skills. A good level of another foreign language would be an asset.

As a Data & Analytics Consultant, you will be actively contributing to transforming data into actionable insights for our clients. Your role will involve a combination of technical expertise, analytical skills and business knowledge to help clients leverage their data assets to make informed decisions, optimize operations and drive growth.

• Collaborate with clients to understand their business objectives and data analytics requirements
• Perform data extraction, cleaning and transformation to prepare datasets for analysis
• Translate complex analytical findings into strategic recommendations for non-technical audiences
• Create intuitive data visualizations and dashboards for stakeholders to interpret the results
• Meet engagement project expectations defined by project and engagement stakeholders
• Monitor project scope, schedule and the progress of client engagement deliverables
• Identify, communicate and address project risks, assumptions and constraints
• Develop and maintain relationships with stakeholders across other EY functional groups
• Stay abreast of industry trends and advancements in data science and analytics tools
• Identify opportunities to enhance data analytics techniques

Key Requirements:
• A bachelor’s degree (MQF Level 6) in Data Science, Statistics, Computer Science, Engineering or a related field
• 1+ years of relevant, professional work experience in data and analytics
• Proficiency in data analytics tools and programming languages such as Python, R, SQL and SAS
• Experience with data visualization tools like Tableau, Power BI or similar
• Experience building and applying data analysis techniques and algorithms
• Excellent communication, documentation and presentation skills
• Strong analytic and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment

We provide attractive salaries, excellent benefits and reward you for your performance. You will also be given full training and the opportunity to undertake industry recognised professional qualifications. As an investor in people, we will provide:

• Support and coaching from some fantastic colleagues
• Opportunities to quickly progress your career
• Flexibility to handle your role in a way that’s right for you
• EY also offers multitude of learning resources including the possibility to pursue an accredited Tech MBA program through self-paced learning

This multifaceted role is pivotal in transforming clients' operations through the power of data. By driving data strategy and governance, along with designing advanced architectures and models, the Data Engineer/Architect ensures that organizations can harness their data effectively and intelligently. Whether through crafting innovative solutions, streamlining data pipelines, or implementing cutting-edge platforms, this position is dedicated to empowering clients to achieve their goal of becoming truly data-driven. Furthermore, the work spans across diverse technologies and industry sectors, providing a dynamic and enriching environment to address unique challenges and opportunities in various fields.

Key Responsibilities

Define, guide, and advise clients on developing data strategies that embrace innovation and drive transformative outcomes.Innovation & Transformation:

• Define and design cutting-edge Data & Analytics architectures and solutions that enable businesses to harness the full potential of their data assets.
• Oversee and develop advanced data platforms, including data acquisition and integration, data modeling, transformation, and quality processes, as well as master data management, data warehousing, data lakes, ontologies, and metadata layers.
• Support the strategy, planning, and implementation of data design services by providing sizing and configuration guidance and conducting thorough needs assessments. Collaborate with other architects to implement complex, end-to-end enterprise solutions that integrate seamlessly into existing ecosystems.

Technology:

• Evaluate and select tools and components essential for optimal data management and analytics capabilities, ensuring innovative solutions are implemented effectively.
• Develop and maintain comprehensive data lake and data warehouse schematics, layouts, architectures, and relational/non-relational databases to enable robust data access and advanced analytics.
• Define, design, and implement efficient data ingestion flows and data pipelines, ensuring high performance and scalability for large-scale data operations.
• Take an active role in coaching and developing junior consultants, fostering an innovative and collaborative team environment. Support business development activities by contributing thought leadership and technical expertise to strengthen client relationships and drive new opportunities.

Skills and Attributes for Success

• Proven track record and experience in data strategy, architecture, data modeling, data governance, AI, Machine Learning, and data platform design.
• Experience with Big Data technologies, containerization platforms, databases (SQL and NoSQL), and cloud platforms such as AWS, Azure, and Google Cloud.
• Good understanding of ETL, ELT, data ingestion/cleansing, and engineering skills. Knowledge of Python, Java and other programming languages a plus.
• Excellent communication and presentation skills, ability to adapt quickly and positively to change, strong analytical and problem-solving skills.
• Eager to learn and grow professionally.
• Must have a strong entrepreneurial and team spirit, balanced by a healthy sense of autonomy.

Qualifications

• Bachelor or Master’s Degree in Artificial Intelligence, Information Systems, Software Engineering, or other related fields.
• At least 3 years’ experience in software engineering, data strategy, technology consulting, or similar roles.
• Understanding of the different data architecture patterns is a real asset.
• Excellent English communication skills. A good level of another foreign language would be an asset.

This multifaceted role is pivotal in transforming clients' operations through the power of data. By driving data strategy and governance, along with designing advanced architectures and models, the Data Engineer/Architect ensures that organizations can harness their data effectively and intelligently. Whether through crafting innovative solutions, streamlining data pipelines, or implementing cutting-edge platforms, this position is dedicated to empowering clients to achieve their goal of becoming truly data-driven. Furthermore, the work spans across diverse technologies and industry sectors, providing a dynamic and enriching environment to address unique challenges and opportunities in various fields.

Key Responsibilities

Define, guide, and advise clients on developing data strategies that embrace innovation and drive transformative outcomes.Innovation & Transformation:

• Define and design cutting-edge Data & Analytics architectures and solutions that enable businesses to harness the full potential of their data assets.
• Oversee and develop advanced data platforms, including data acquisition and integration, data modeling, transformation, and quality processes, as well as master data management, data warehousing, data lakes, ontologies, and metadata layers.
• Support the strategy, planning, and implementation of data design services by providing sizing and configuration guidance and conducting thorough needs assessments. Collaborate with other architects to implement complex, end-to-end enterprise solutions that integrate seamlessly into existing ecosystems.

Technology:

• Evaluate and select tools and components essential for optimal data management and analytics capabilities, ensuring innovative solutions are implemented effectively.
• Develop and maintain comprehensive data lake and data warehouse schematics, layouts, architectures, and relational/non-relational databases to enable robust data access and advanced analytics.
• Define, design, and implement efficient data ingestion flows and data pipelines, ensuring high performance and scalability for large-scale data operations.
• Take an active role in coaching and developing junior consultants, fostering an innovative and collaborative team environment. Support business development activities by contributing thought leadership and technical expertise to strengthen client relationships and drive new opportunities.

Skills and Attributes for Success

• Proven track record and experience in data strategy, architecture, data modeling, data governance, AI, Machine Learning, and data platform design.
• Experience with Big Data technologies, containerization platforms, databases (SQL and NoSQL), and cloud platforms such as AWS, Azure, and Google Cloud.
• Good understanding of ETL, ELT, data ingestion/cleansing, and engineering skills. Knowledge of Python, Java and other programming languages a plus.
• Excellent communication and presentation skills, ability to adapt quickly and positively to change, strong analytical and problem-solving skills.
• Eager to learn and grow professionally.
• Must have a strong entrepreneurial and team spirit, balanced by a healthy sense of autonomy.

Qualifications

• Bachelor or Master’s Degree in Artificial Intelligence, Information Systems, Software Engineering, or other related fields.
• At least 3 years’ experience in software engineering, data strategy, technology consulting, or similar roles.
• Understanding of the different data architecture patterns is a real asset.
• Excellent English communication skills. A good level of another foreign language would be an asset.