49 Data Engineer jobs in Ireland

Job Title: Data Engineer (Daily Rate Contract) Location: Dublin - Hybrid (Republic of Ireland) Contract Type: Daily Rate About the Role We are seeking a highly skilled Data Engineer to join a centralised Data & Analytics function on a contract basis. In this role, you will play a key part in designing and building data solutions that enable advanced analytics, business intelligence, and AI initiatives. You'll be responsible for transforming raw data into structured, reliable datasets that drive business insights and decision-making. The Team You will be part of a specialist Data Solutions team focused on data sourcing, integration, and standardisation. The team's mission is to deliver clean, high-quality, and scalable data pipelines that underpin analytics and data management across the organisation. Working closely with peers across data engineering and operations, you will contribute to building a robust and future-ready data infrastructure. Key Responsibilities Design and implement ETL processes to deliver consumable data for analytics. Collaborate with engineering teams to ensure best practices in pipeline development and solution delivery. Support the resolution of complex data quality issues and drive continuous improvements. Contribute to technical documentation and cross-team knowledge sharing. Stay current with emerging technologies, suggesting improvements and best practices where applicable. Mentor and provide guidance to less experienced engineers within the team. Requirements Essential: Proven experience as a Data Engineer with expertise in enterprise-class data platforms (e.g. Teradata Vantage, Snowflake). Degree in Computer Science, Engineering, Mathematics, IT, or a related field. Strong experience with data pipeline creation, ETL development, data modelling, APIs, and working with both structured and unstructured data. Proficiency in Python, SQL, and familiarity with NoSQL databases and big data tools. Desirable: Experience with Teradata EDW and data warehousing. Familiarity with big data technologies (e.g. Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure). Exposure to service management tools such as JIRA and Confluence. Key Competencies Customer Focus Accountability & Decision-Making Strong Communication & Influencing Skills Team Collaboration Drive for Operational Excellence Skills: Teradata Vantage Snowflake ETL EDW Benefits: Work From Home

Position Description At ESB, data sits in the centre of our business, providing insights to support better business decisions. We are looking for Data Engineers to join our growing data engineering team. If you are passionate about data and want, be part of ESBs Net Zero Strategy, leading the transition to reliable, affordable, low carbon energy, we would love you to hear from you. The data function within ESB operates in a Hub and Spoke model, with the Hub acting as a Centre of Excellence, supporting the individual Spokes which sit directly within five business units across ESB. The Data Engineering team is an integral part of the Analytics Hub. This team has been set up to re-invent how ESB uses its data. It will be involved in the design, build, integration, and subsequent productionising of data pipelines from various sources across all business units to facilitate the optimal use of this data by appropriate analytics consumers such as Data Scientists, Data Analysts etc. Key Responsibilities Ensuring the successful delivery of all assigned Data Engineering work on projects across all ESB business units and their successful deployment to production, including use cases developed by our Data Science & Analytics team. Responsible for our data infrastructure platforms including SSIS, Azure Synapse, Cloudera. Responsible for building robust and scalable data models as well has helping to shape the vision and architecture of ESBs data infrastructure into the future Responsible for tracking the performance of our resources and growing our capability in line with business requirements. The development of Extract Transform and Load routines, modelling, queries, reports, and analysis. Experience and Qualifications Essential Minimum 3-5 years of relevant data engineering experience, including at least 3 years developing data pipelines. Proficiency in ETL development using Microsoft SSIS, Azure Synapse, or Hadoop platforms. Strong background in data modelling and data warehousing, with expertise in Kimball or Inmon methodologies. Demonstrated ability to build data products incrementally and manage data sets from multiple sources. Skilled in query performance tuning and writing Transact SQL scripts. Effective communicator with strong reporting skills and a proven drive to learn new development skills. Creative and solutions-oriented, continually seeking improved methods, systems, or processes. Desirable Experience including technical leadership, mentoring, and managing large-scale data extraction, ingestion, and processing for highly available, distributed systems; demonstrated ability in manipulating, processing, and extracting value from large data sets, and leading significant data warehousing and analytics projects. Proficient in big data tools such as HDFS, HIVE, Sqoop, Oozie, Spark, Sentry, and skilled in the use of Agile software development methodologies, including sprints. Strong knowledge of Azure services, including Azure Blob storage, Azure Data Lake storage, Logic Apps/Power Automate, Azure Synapse, Azure Data Factory, Azure SQL Pool, and Azure Spark Pool, as well as experience with Microsoft Visual Studio Team Services and Azure DevOps. Competent in data engineering programming languages and tools such as Transact SQL scripts, R, and Python; with additional familiarity in SAP ERP, SAP BW, and SAP Data Services. Experienced in designing and developing data visualisations using Power BI, Tableau, or similar platforms, and possessing professional certifications relevant to data engineering and Agile/Sprints methodology. Location This position will be based in ESB Head Office, F27, Dublin 2. ESB is committed to smart working - combining digital tools with a culture of trust and empowerment to enable flexible ways of working. The successful candidate may work flexibly within their jurisdiction with attendance at the workplace for in-person collaboration on at least one anchor day per week. All smart working arrangements are subject to manager approval and ongoing review, based on the operational requirements of the role, the team, and the individual. Reporting To The successful candidate will report to the Data Engineering Manager, Analytics, CIO, ESB Enterprise Services Why Work with Us? Opportunity to lead Ireland's transition tonet zero carbon future Career developmentthrough mentoring andtraining Corporate Social Responsibility Opportunities Sports and Social Clubs Networking opportunities Credit Union Generous Pension Access to staff well-being programmes Generous parental leave entitlements Strong values-based and inclusive culture Strong commitment to diversity, equity and inclusion Great team environment working to our Core Values: Courageous, Caring, Driven and Trusted Salary €48,000 - €6,500 per annum depending on experience. Closing Date 19th September 2025. Your application will be held in reserve for 6 months should you be suitable for the role. .buttontext4ebea33125a0ecd0 a{ border: 1px solid transparent; } .buttontext4ebea33125a0ecd0 a:focus{ border: 1px dashed #009DE0 !important; outline: none !important; } Diversity, Equity and Inclusion Statement ESB is committed to being an equal opportunities employer. We welcome applications from all sections of society and ensure that no one is discriminated against on the grounds of race, religion or belief, ethnicity or nationality, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation or gender identity, or any other basis as protected by law. Applicants who anticipate requiring assistance or reasonable accommodations for any part of the application or interview process may contact, in confidence, . About ESB Join us in our mission to achieve a net-zero electricity system by 2040. ESB is Ireland's leading energy utility, with activities spanning electricity generation, transmission and distribution, energy supply, energy services and international consultancy. Operating in Ireland, Northern Ireland and Great Britain, we invest over billion each year to deliver a new energy future based on reliable, affordable zero-carbon electricity. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Continue to Application or Login/Register to apply button below.

What you need to know An Industry leader in environmental and infrastructure services is seeking a Data Engineer to join their Dublin 4based site. The position will focus on ensuring accurate, reliable, and well-structured asset data that supports efficient maintenance, operational decision-making, and regulatory compliance. The role focuses on optimising the PEMAC CMMS, developing and reporting asset performance KPIs, and driving improvements in asset reliability through effective data management and analysis. Duties and responsibilities Manage and optimise the PEMAC CMMS to ensure accurate asset data, work order tracking, and maintenance records. Develop and report on plant availability and reliability KPIs (MTBF, MTTR, downtime, asset criticality). Maintain high data quality, including correct asset tagging, fault codes, and failure modes. Produce asset performance dashboards and analyse maintenance trends to improve reliability. Coordinate with teams and contractors to ensure timely completion and closure of work orders. Support procurement and inventory management for critical spares. Contribute to continuous improvement, predictive maintenance strategies, and regulatory compliance. What we need from you Degree or equivalent in Engineering, Maintenance Management, Data Analytics, or related technical field. Hands-on experience with PEMAC or another CMMS (e.g., Maximo, SAP PM, Infor EAM). Strong knowledge of plant availability metrics and maintenance performance KPIs. Competence in Excel, and preferably Power BI, for generating automated reports and dashboards. Apply for this job now by sending in a Word version of your CV or get in touch with Eugene at By applying, you are giving consent for Matrix Recruitment to contact you about this job. We collect your data for recruitment purposes only and will retain it for the duration required as outlined in our privacy policy. All CVs are kept confidential and will not be submitted to any clients without your knowledge and permission. Please note that due to the expected high volume of applications we can only reply to applicants suitable for the position. We Value Your Trust. Benefits: pension Annual Bonus / 13th Cheque illness cover GP Visits

Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum. As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
As a **Senior Data Engineer** you will be working on developing and maintaining data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake. Ensure the smooth flow of data from source systems to destination systems while adhering to data quality and integrity standards. In addition to having impact on a great team, you'll also discover the career opportunities you'd expect from an Industry Leader.
**Schedule:** Full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers. Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting
+ Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks
+ Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines
+ Implement data governance in line with company standards
+ Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionizing analytic pipelines
+ Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools and techniques that leverage the cloud environment (Azure, Snowflake, others)
+ Monitoring and Support: Monitor data pipelines and data systems to detect and resolve issues promptly. Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Bachelor's Degree (or higher) in Database Management, Information Technology, Computer Science or similar
+ Proven experience designing data solutions, including data modelling
+ Hands-on experience in data processing using PySpark and SQL
+ Experience with orchestration tools like Azure Data Factory or Airflow
+ Fluent in SQL, including advanced functions and window operations
+ Demonstrated experience with DevOps tools and CI/CD pipelines
+ Experience applying data governance controls in regulated environments
+ Well versed in Python regarding data manipulation, cleaning, transforming, and analyzing structured data to support our data-driven initiatives
**Preferred Qualifications:**
+ Proven Data Engineering experience
+ A motivated self-starter who excels at managing their own tasks and takes ownership
+ Experience working in projects with agile/scrum methodologies
+ Experience with Azure Databricks and Snowflake
+ Familiarity with production quality ML and/or AI model development and deployment
**Soft Skills:**
+ Effective communication skills and the ability to understand and adapt to changing requirements
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMRAQ

Job Description The senior data engineer will play a leading role in the management and development of an enterprise data platform that serves BI, analytic, and data integration functions for a large commercial organisation. The role will combine system administration and solution development. As a system administrator, you will provide operational support for the data platform, ensuring that system performance, stability, and data quality remain satisfactory. You will configure, monitor, and maintain regular operational processes such as data pipelines, and will identify and resolve issues as they arise. As a solution developer you will work with technical and business stakeholders to confirm requirements, and to design, develop, test, and deploy efficient and effective data solutions to deliver business value. Responsibilities The successful candidate will be expected to be able to: Work with business and technical stakeholders to design data solutions, using Microsoft cloud data services, including Azure Synapse, Azure data Factory, and Microsoft Fabric, that will apply complex business logic to large volumes of data, and present data to end users via Power BI and other means. Write complex SQL queries and procedures, both to process data, and to troubleshoot potential issues and defects. Develop and deploy production-quality code, with appropriate documentation, testing, according to business and technical requirements. Automate and orchestrate routine tasks and data pipelines to acquire, cleanse, transform, and load data into storage and reporting structures in destinations including data warehouse, reporting systems and analytics applications. Troubleshoot and maintain the data platform, and related elements and components. Support the development of innovative AI use cases Supervise and mentor junior data engineering staff. Experience and Qualifications The preferred candidate will have: 7+ years previous experience as Data Engineer in similar roles, building and optimising BI and analytic data systems, including data pipelines, and data models. 2+ years working with the Azure Data stack. Relevant Microsoft Azure Data certifications. Strong analytic skills related to working with data, and the ability to design and implement well written code. Ability to work to tight deadlines Ability to test the data from source to the presentation layer, and to support/troubleshoot data pipelines. Excellent communication skills. If this sounds like the job for you, please apply now and tell us why you would be perfect for this exciting and rewarding role! Dunnes Stores is an Equal Opportunities Employer

Job Description Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees. As a Data Engineer at JP Morgan Chase within the Employee Platforms team, you will design, build, and maintain scalable data pipelines and infrastructure to support our data-driven initiatives. Your expertise in AWS, Databricks, and graph database technologies will be crucial in delivering solutions that meet business needs. You will collaborate with data scientists, analysts, and other stakeholders to ensure data quality and consistency, while staying up-to-date with industry trends and technologies. J.P. Morgan Dublin thrives as a collaborative, tight-knit community, passionately driven by innovation, where curiosity fuels the relentless pursuit of groundbreaking ideas. The culture is centred around exploring new frontiers together by fostering an environment that encourages growth, creativity and forward-thinking. Job Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services, Databricks, and graph databases. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Implement data integration and transformation processes to ensure data quality and consistency. Optimise and manage data storage solutions, ensuring efficient data retrieval and processing. Monitor and troubleshoot data pipelines to ensure reliability and performance. Stay up-to-date with the latest industry trends and technologies in data engineering and make recommendations for improvements. Document data engineering processes, workflows, and best practices. Required Qualifications, Capabilities, and Skills: Formal training or certificate in Computer Science, Information technology and proficient advanced experience. Proven experience as a Data Engineer or in a similar role. Strong proficiency in AWS services such as S3, Lambda, Glue, and Redshift. Experience with Databricks for data processing and analytics. Familiarity with thatDot Streaming Graph for real-time data processing. Proficiency in programming languages such as Python for scripting and automation. Strong SQL skills for querying and managing relational databases. Experience with Cypher for querying graph databases. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications, Capabilities, and Skills: Experience with data modelling and ETL processes. Knowledge of big data technologies such as Apache Spark and Kafka. Familiarity with data visualization tools and technique About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Continue to Application or Login/Register to apply button below.

Senior Data Engineer Location: Galway Salary: € Hybrid My client is on the lookout for a Senior Data Engineer with extensive exposure t the Microsoft Azure stack to join their team. The successful candidate will architect and optimize data solutions on Microsoft Azure, leveraging its modern data services to deliver high-quality, reliable data flows. You'll collaborate with Data Scientists, Analysts, and Product Engineers to build robust, scalable systems for analytics and business intelligence. Requirements: 5+ years of experience in data engineering or related roles. Proven experience designing and implementing solutions on Azure. Deep knowledge of Azure Data Factory, Synapse, Data Lake, and Databricks. Strong SQL skills and experience with data modelling in a cloud context. Expertise in Python or Scala for data transformation. Understanding of CI/CD in Azure using Azure DevOps. Knowledge of security and compliance frameworks within Azure. Nice to Have Experience with Power BI and data visualization on Azure. Familiarity with machine learning on Azure ML. Benefits Pension Health and life cover Bonus scheme Stock options Flexible hybrid working arrangement If this role as a Senior Data Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior Data Engineer Azure ETL Python Galway Hybrid Benefits: Work From Home

Quest's Software Center for Advanced AI Architecture in Cork, Ireland is seeking visionary data science leaders to shape our AI strategy and drive organizational transformation. As the central hub for AI innovation across Quest's entire SaaS platform ecosystem, it will shape the future of enterprise AI solutions that serve millions of users worldwide. Are you ready to lead the future of enterprise AI and mentor the next generation of data scientists? As part of our Software Center for Advanced AI Architecture, you'll establish strategic direction for complex data science initiatives, drive cutting-edge research in machine learning and generative AI, and translate business challenges into breakthrough analytical solutions. You'll have the authority to set methodological standards, influence architectural decisions across multiple product lines, and see your strategic vision deployed at global scale. If you're ready to move beyond individual contributions and shape how an entire organization approaches AI, this is your opportunity to lead transformation. As a Senior Data Engineer, you will lead complex data science initiatives and drive strategic AI research across Quest's platform. You'll establish data science methodologies, guide technical decisions, and work closely with principal engineers to shape the AI research agenda for the organization. Responsibilities include: Lead end-to-end data science projects from research to production implementation Establish data science best practices, methodologies, and standards for the team Research and implement advanced machine learning techniques and emerging AI technologies Drive strategic data science initiatives that impact multiple product lines Mentor junior and mid-level data scientists and collaborate on cross-functional AI projects Present research findings and strategic recommendations to senior leadership Qualifications: Required: Master's/PhD in Computer Science, Statistics, Mathematics, or related field (or equivalent experience) 8+ years of data science experience with leadership in complex ML projects Expert-level proficiency in Python, advanced ML frameworks, and statistical modeling Proven experience with Azure ML, big data technologies, and production model deployment Strong research background with ability to translate business problems into data science solutions Nice to Have: Experience with generative AI, NLP, or computer vision applications Published research or contributions to the data science community Experience leading data science teams or mentoring junior scientists Company Description? At Quest, we create and manage the software that makes the benefits of new technology real. Companies turn to us to manage, modernize and secure their business, from on-prem to in-cloud, from the heart of the network to the vulnerable endpoints. From complex challenges like Active Directory management and Office 365 migration, to database and systems management, to redefining security, and hundreds of needs in between, we help you conquer your next challenge now? Were not the company that makes big promises. Were the company that fulfills them? Were Quest: Where Next Meets Now? ? Why work with us? Life at Quest means collaborating with dedicated professionals with a passion for technology? When we see something that could be improved, we get to work inventing the solution? Our people demonstrate our winning culture through positive and meaningful relationship? We invest in our people and offer a series of programs that enables them to pursue a career that fulfills their potential? Our team members health and wellness is our priority as well as rewarding them for their hard work? ? Quest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances? ? Come join us. For more information, visit us on the web at Job seekers should be aware of fraudulent job offers from online scammers and only apply to roles listed on using our applicant system. Note: We do not use text messaging or third-party messaging apps like Telegram to communicate with applicants, so please exercise caution if you are approached in this way and only interact with people claiming to be Quest employees if they have an email address ending

Overview PM Group's OTS (Outsourced Technical Services) department is currently seeking to recruit an experienced Asset Information and Data Engineer for one of our client's based in Dublin. Who we are PM Group is an employee owned, international project delivery firm with a team of 3,600+ people. We are world leaders in the pharma, food, medtech and mission critical sectors. From our network of offices in Europe, Asia and the US, we work with the world's leading organisations. We are focused on growing a sustainable business centred around our people, our clients and trade partners. Responsibilities Maintain and optimise the PEMAC CMMS to ensure accurate asset hierarchies, maintenance records, and work order tracking. Develop, implement, and report plant availability and reliability KPIs, including MTBF, MTTR, downtime analysis, and asset criticality. Ensure site safety file is up to date as according to the asset register Respond to requests for information from the Client; collate and communicate asset related data as required. Ensure data quality across all maintenance and asset-related systems, including correct asset tagging, fault codes, and failure modes. Support the Operations and Maintenance teams by delivering daily, weekly, and monthly asset performance dashboards. Liaise with engineers, supervisors, and external contractors to ensure timely and complete data entry into PEMAC. Develop and maintain processes for capturing and analysing breakdown and maintenance trends to inform predictive strategies. Contribute to continuous improvement in asset lifecycle management and maintenance optimisation. Support audit and regulatory compliance through effective data management and traceability. Follow up the procurement of spares used for service and repairs, Support stores to maintain spares for critical assets Qualifications Degree or equivalent in Engineering, Maintenance Management, Data Analytics, or a related technical field. Relevant certifications in CMMS/Asset Management (e.g., PEMAC training, IAM Certificate) - is a plus. Experience with PEMAC or another CMMS (e.g., Maximo, SAP PM, Infor EAM). Strong knowledge of plant availability metrics and maintenance performance KPIs. Competence in Excel, and preferably Power BI, for generating automated reports and dashboards. Experience in analysing maintenance trends, failure data, and operational logs. Understanding of maintenance workflows, asset hierarchies, and job scheduling processes. Why PM Group? As an employee-owned company, we are inclusive, committed and driven. Corporate Responsibility and Sustainability are the heart of our new 2025 business strategy. Please visit our PM Group website to read more in our Corporate Responsibility & Health and Safety Report 2021. Inclusion and Diversity are core to our culture and values. Wherever we work, we commit to a culture of mutual respect and belonging by building a truly inclusive workplace rich in diverse people, talents and ideas. Valuing the contributions of all our people and respecting individual differences will sustain our growth into the future. PM Group is committed to ensuring our hiring process is fair and accessible to all and will provide candidates with disabilities with reasonable accommodations required toparticipate in the recruitment process. If you require any assistance in this regard, please let us know.