Infrastructure Engineer Azure Job Overview We are seeking an Azure and On-premise Infrastructure engineer to join our IT Team. This candidate will work in a team environment on a major transformation and cloud migration project and provide expertise in the areas of on premise and cloud-based networking and infrastructure, cybersecurity and access management. The ideal candidate will be a team player with strong interpersonal and collaboration skills and must be a good communicator. He/she will take a structured approach to project delivery and work to clear timelines with the provision of appropriate levels of documentation. There must be a clear understanding of management of IT risk and single points of failure and design and implementation must achieve the required standards without loss of service during the transition. Ideally the candidate would have gone through major transformation and cloud migration in an Azure and Microsoft environment. Main Responsibilities Responsibilities include the following: Setup Active Directory, Group policy and integration with Azure using AD Connect. Implement single sign on Identity and access management solution with MFA for employees, partners and customers. Design and implementation of cloud based WAN with high performance fault tolerant linkages to on premise systems and customer sites. Design and implementation of Azure cloud environment for development and production systems including VNET setup, VPN connectivity, Azure backup and site-recovery. Design and upgrade of infrastructure components to remediate risks, single points of failure migration to the cloud and achievement of IS027001 standard. Implementation and management of cloud based services such as event hubs, notification systems, alarm systems etc. Implementation of cybersecurity tools, processes and metrics to protect networks, clients, servers and data on prem and in the cloud. Systems administration, maintenance, and management of on prem company networks and infrastructure Responsible for management of IT monitoring systems and identify the appropriate resolution in the event of an incident Investigation and Diagnosis - establish failing component, confirm impact, identify any events that may have been a contributing factor Working with external stakeholders and outsource service providers on the delivery of infrastructure services and solutions. Act as a mentor to other team members, i.e. coaching in the delivery of projects, tasks and/or troubleshooting exercises Produce high-quality documentation to support workarounds and/or resolutions to assist in knowledge transfer and efficiencies Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance and innovate solutions and improve process efficiency. Required Experience and Skills A minimum of 10 years' professional experience is required. Demonstrated ability to design and deliver fault tolerant, scalable, cloud based infrastructure. Expert knowledge of Unix, Linux, Office 365, and large scale Windows environments Web Server and SQL administration experience (IIS preferred). Certifications as well as 3+ years hands on experience in Microsoft Azure cloud services design, migration, deployment, management, security and audit as well Maintaining applications running in on premise data centers and cloud environments Strong scripting experience (preferably Powershell, but other scripting languages also considered). Understanding of TCP/IP, DNS, routing, load-balancing, SMTP, VPN, Firewalls, IPS devices Demonstrated knowledge of implementing Identity and access management systems, in particular Active Directory, group policies, single sign on and multifactor authentication. Proven track record and qualifications in the implementation of IT standards preferably ITIL or ISO27001. Technologies Technologies: Azure IaaS and PaaS services, Azure monitoring, Active Directory, IT Security setup, OWASP and penetration testing, On-premise and cloud networking, VPN setup, SQL Server including backups and replication, Office 365, Core Programming languages: Power Shell, Azure API, Python, T-SQL Benefits Competitive salary, pension and life cover benefits The successful candidate will gain extensive knowledge and experience in the evolving Smart Grid and energy industries across multiple jurisdictions. Candidate must have a valid visa to work in Ireland
Senior Data Engineer Job Overview: We are seeking a senior data engineer to join our Data and Analytics IT Team. This candidate will work in an agile development environment and build a Data Lake and Data Warehouse solution to meet the needs of Data Science and Business Management teams. The solution will integrate data from external sources, IOT sensors from client database and business data from CRM, Billing and other IT systems. This integrated data will be used by Data science teams to create and test solutions for energy optimisation, energy trading and predictive fault detection. Moreover, the solution will be used to develop Power BI reports for internal and external stake holders. You will have an opportunity to contribute to the company platform developing through analysis, design, implementation and delivery of industry leading big data and data warehousing solutions. The solution will be developed using Azure's Cloud services and the candidate should have hands on experience of using Azure Data Platform. Ideally the candidate would have gone through the whole development life cycle from design to implementation to production on Azure during previous projects. Main Responsibilities: Leading the design and delivery of innovative data solutions using latest services from Azure eco-system. Exploiting industry best practices and your experience to create a data platform to enable business growth. Liaise with internal and external stakeholders in order to collect and document technical requirements. Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance and innovate solutions and improve process efficiency. Required Experience and Skills: A minimum of 5 year's professional experience is required. Azure/AWS Experience (3+ years). Azure Data Certification a plus Experience with Data Warehouse design and Kimball methodology ETL experience using SSIS and Azure Data Factory Experience working with SQL Server, SQL Data Warehouse and Azure Data Lake SQL server schema design and optimization to meet performance requirements Python programming for Data engineering and clean up. Spark/Data bricks experience will be a plus Experience of working with Power BI and DAX programming. Good understanding and experience of working with data security options on Azure. Proven ability to translate complex business requirements into design of end-to-end data systems including scalability, HA and DR. Technologies: Technologies: SQL Server, data integration, ETL Design, Azure Data Lake, Azure Data Factory, Azure SQL Server and Azure Synapse. Core Programming languages: T-SQL, Power Shell, Azure API, DAX. Desired Qualifications and Other Experience: A minimum of 5 years of experience, a third level degree in Maths, Physics, Engineering, Computer Sciences or a related discipline. Commercial experience in Data Warehousing and business intelligence projects. Experience in handling large and complex datasets using multiple programming languages (T-SQL, Python, R etc.) is essential. Experience analysing multiple business domains and translating them to dimensional designs for analytics and reporting. Basic knowledge of or exposure to machine learning, data visualisation, and artificial intelligence techniques. Experience working with Data Scientists and Machine Learning teams. Data governance experience desirable. The following experience would be advantageous but not essential: Experience working in an energy related industry combined with a passion for energy sustainability and innovation. Benefits: Competitive salary. Pension. Life cover benefit. The candidate must have a valid visa to work in Ireland.
Senior Data Analytics Lead Job Overview: We are seeking a Senior Analytics and Data Science Lead to join our growing IT Team. This candidate will work in an agile development environment and will lead a team to build Data and Analytics solutions for energy balancing and trading markets. The solution will combine data from energy markets and IOT sensors to deliver smart energy optimisation recommendations as well as energy trading strategies. The solution will communicate, monitor and orchestrate the implementation of recommended load profiles. Similar to financial portfolio management the solution will have a dynamic component which will make real time decisions to move energy assets between different market opportunities to maximise financial return. The solution will be developed using Azure's Cloud services and the candidate should have hands on experience of using Azure or other cloud services for developing data analytics solutions. Ideally the candidate would have gone through the whole development life cycle from design to implementation to production on Azure/AWS during previous projects. Main Responsibilities: Leading a team of Data Scientists, trading analysts and other subject matter experts to deliver an end-to-end energy optimisation and trading solution Design data solutions using latest services from Azure eco-system. Present various design choices, trade offs and lead the team through picking the right technology choices. Exploit industry best practices and your experience to create a data platform to enable business growth. Liaise with internal and external stakeholders to collect and document technical requirements, translate them into solution design and lead a cross functional team to deliver a production ready analytics solution. Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance and innovate solutions and improve process efficiency. Apply data visualisation tools and implement dashboard solutions that are customer focused and help drive product design decisions Leverage expertise to develop and lead new data analytics technologies for product development, providing new growth opportunities in addition to supporting existing products and businesses Excellent communication, presentation, and team leadership skills. File patent applications, publish, and present at conferences. Collaborate with external research teams to build capabilities and applications to solve emerging challenges. Required Experience and Skills: A minimum of 5 years' professional experience is required. Azure/AWS Experience (3+ years) applied to delivering a data driven analytics solution. Azure/AWS Data Certification a plus DataScienceandAnalytics experience including team leadership Machine Learning (Neural Networks, Decision Trees, etc.) Deep learning libraries such as Keras, Tensorflow, Theano, or Python. SQL and relational database concepts Distributed computing platforms such as Spark Experience working with Data Warehouse, Data Lake and Cloud AI to deliver a customer facing analytics solution Experience of working with Big Data stack including real time streaming using Spark/DataBricks or similar technologies to meet tight time budgets. Python/R programming for Data Science and Data Engineering. Experience of working with Power BI, Tableau or similar for designing internal and external dashboards and data analyses. Proven ability to translate complex business requirements into design of end-to-end data systems Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns Ability to deal with the ambiguity of early stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available Leadership qualities such as excellent communication skills (oral, written and presentation), networking skills, self-motivation, and self-direction. Previous experience working in financial, or trading market will be plus. Previous experience working in energy sector will be a plus. Technologies: Technologies: Data Science, Data Integration, Orchestration, Data Warehouse, Data Lake Core Programming languages: Python, R, T-SQL, Power BI DAX Desired Qualifications and Other Experience: A minimum of 5 years with a third level degree in Maths, Physics, Engineering, Computer Sciences or a related discipline. Commercial experience in designing mission critical data intensive analytics solutions. Experience in handling large and complex datasets using multiple programming languages (T-SQL, Python, R etc.) is essential Experience analysing multiple business domains and translating them to production ready data/analytics solutions Experience of using machine learning, data visualisation, and artificial intelligence techniques. Experience leading a cross functional team including Data Scientists, Data Engineers and SMEs to deliver and end to end analytics solution The following experience would be advantageous but not essential: Experience working in an energy related industry combined with a passion for energy sustainability and innovation Experience designing a data driven solution for financial or trading industry Benefits: Competitive salary. Pension. Life cover benefit. The candidate must have a valid visa to work in Ireland
Infrastructure Support Specialist Experis IT ManpowerGroup is the global leader in professional resourcing and workforce solutions. We operate in over 50 countries worldwide, deploying more than 38,000 skilled professionals across the IT every day. We are currently looking for experienced Infrastructure Level 3 Engineer to join our client onsite in Co. Dublin on full-time permanent basis. ESSENTIALS SKILLS/QUALIFICATIONS: 2-5 years of experience working in a large datacentre - datacentre operations experience. experience racking & stacking IT gear, cable management. experience migrating and decommissioning of datacentre assets. Work experience in engagement in a process-oriented organisation. technical support experience with HPE server. troubleshooting blade platforms. Work experience with deployment and cabling methodologies. A professional degree in a technical discipline. JOB DESCRIPTION: Part of a best-in-class datacentre support team, responsible for the deployment, Decommissioning and processing of legacy hardware in and out of data centre facilities. Moving/lifting servers & IT equipment. Relocating and moving of large enterprise equipment. Creating/attaching labels and barcode. Ability to perform duties constantly and without deviations unless otherwise instructed. Removing HDD/SSD/Flash/ from servers for destruction. Basic Networking removal. Updating progress to supervisors. Escalating to senior technicians and management as needed/required. The Candidate Must have a valid visa to work in Ireland.