Data Technician jobs in Ireland

The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.

Job Purpose:

role. Sterilization operates in a 24/7 shift pattern (12-hour shift).

Note Job shifts:

Day1 Mon to Wed (7AM to 7PM), alternating Sunday

Day2 Thurs to Sat (7AM to 7PM), alternating Sunday

Nights1 Sun to Tues (7pm to 7AM), alternating Saturday

Nights2 Wed to Fri (7PM to 7AM), alternating Saturday

Responsibilities:

• Work with Line Facilitators to manage the process, the process loads and Production Area.
• Work with Manufacturing Engineers in developing, trouble shooting, standardising and improving existing production methods and procedures.
• Work with Engineering team to commission and validate new sterilization equipment.
• Support and assist on equipment and cycle qualifications and validations.
• Proactive on PSPI and PDCA in the area.
• Work on Electronic/ Mechanical troubleshooting and electronic hardware interfacing.
• Investigate and implement new production methods.
• Interface with a variety of BSI personnel and with outside vendors when necessary while performing the above.
• Take responsibility for preventative maintenance procedures with an assigned process or area.
• Assists in implementing technical improvements under the teams C.I. program.
• Communicates any concerns about work process regarding environmental impact, health or safety issues to their manager.
• Owns the key performance metrics for the ME function.

Qualifications and Experience

• HETAC NFQ Level 6 Honors Degree in STEM
• Sterilization experiences an advantage.
• Strong focus on safety and safety procedure adherence.
• Strong electromechanical experience required.
• Plant equipment experience an advantage.
• Electrical level 2 or 2+ years relevant years experience required
• Comfortable working with full PPE (respiratory gear etc) – requirement to be clean shaven
• Experience with Gas cylinders an advantage
• Drives continuous improvement efforts
• Good technical capabilities, communication skills, teamwork abilities and initiative.
• Proven ability to work well both as part of a team but also able to work on own with minimum supervision

To search and apply for open positions, visit:

on

Job Purpose:

Reporting to the Senior Maintenance Engineer, the role of Maintenance Technician is to provide electrical and mechanical maintenance support to ensuring that equipment asset performance is maximised. A high maintenance standard is a must as is adherence to quality standards and safety.

Key Responsibilities:

• Maintain Planned Preventative Maintenance through CMMS System (BMRAM)
• Carry out the maintenance of production process equipment, to include planned preventative and unplanned maintenance tasks.
• Carry out detailed root cause analysis on breakdowns to implement corrective repairs. Review planned preventative maintenance procedures (PM’s) to improve their quality and effectiveness and manage amendments to same though the Senior Maintenance Engineer and/or CMMS admin where appropriate.
• Provide support to the Line support team and systems to maximise equipment uptime for the Value Streams in accordance with the requirements of the business.
• Assist the department in achievement of world class equipment uptime (M.T.T.R. and M.T.B.F. metrics) through the utilisation of downtime and OEE (Overall Equipment effectiveness) data.
• Work with Senior Maintenance Engineer and Value Streams to identify & implement projects for permanent solutions of known recurring equipment downtime issues. Promote an environment of continuous improvement and innovation in line with lean thinking and Operational Equipment Excellence.
• Participate and support the 5s + Safety program within the Value Streams & Equipment Management areas as appropriate.
• Promote and participate in the Maintenance departments Continuous Improvement Program.
• Reporting of work status on a timely basis to the Senior Maintenance Engineer and Value Stream team leaders as appropriate.
• Maintain log of activities carried out on equipment i.e. actual hours works, spare parts used, equipment downtime etc using the site Computerised Maintenance Management System (BMRAM).
• Ensure compliance to all aspects of the Company’s Health, Safety and Environmental procedures.
• Ensure all activities are carried out in accordance with the GMP requirements.

Education & Experience:

• NFQ Level 6 Higher certificate qualification in STEM, Automation Systems or or Mechatronics
• Relevant working knowledge of an FDA regulated industry and GMP requirements.
• Experience working in a Cleanroom environment
• Previous experience working with a CMMS (preferably BMRAM) in a maintenance role
• Minimum 3-5 years’ experience in a regulated manufacturing environment.
• Knowledge & Experience in OEE systems/software applications
• Strong electrical and electronic repair and diagnostic skills
• Strong mechanical systems problem solving & repair skills
• Experience in pneumatic fault finding and repair
• Experience with high-speed automated manufacturing equipment
• Experience with maintenance of Vision inspection systems
• Experience in the operation & programming of Programmable Logic Controllers, Drives, HMI’s etc.
• Demonstrate levels of theoretical knowledge with practical application.
• Good teamworking & communication skills
• Good computer skills.

To search and apply for open positions, visit:

General Information

Available for VISA Sponsorship:Yes

Contract Type:Full Time - Permanent

We are seeking an experienced Data Consultant with a strong background in managing data for Finance and Risk functions, including experience in data governance, processing, storage, quality management and remediation for financial, risk and regulatory change projects, understanding of data compliance requirements, hands on knowledge of relevant systems and tools, and awareness of current industry trends and best practices. The ideal candidate will have consulting experience working for Financial Services clients in Ireland or UK, functional understanding of data sets used in the relevant domains, as well as technical skills such as data modelling and warehousing, database technologies, ETL processing and tools, and proficiency in SQL.

Your Key Responsibilities:

• Collaborate with IT and business teams to understand business and technical requirements in order to identify, prioritise and document data management requirements for risk, finance or/ and regulatory change.
• Conduct thorough analysis of existing data management processes and systems, identifying areas for improvement and integration with new or improved risk, finance, or regulatory solutions.
• Analyse and conduct gap analysis in existing data management processes and lifecycle to identify impact areas and design solution options.
• Develop and implement data management solutions to support the implementation of risk, finance or / and regulatory technology and reporting changes, while ensuring internal and external data compliance. Understand impact of regulatory requirements on data solutions, such as BCBS239 principles.
• Monitor data quality and integrity throughout the transformation process, implementing controls and fixes as needed and maintaining compliance with the organisation’s Data Governance and Data Management policies and procedures.
• Implement Data Lineage process improvements and maintain documentation to trace data from source to report. Conduct data lineage gap analysis and provide insights on existing systems, technology, and recommended improvements.
• Provide technical expertise and support for data-related issues, including troubleshooting and resolving data integrity problems.
• Serve as a liaison between business stakeholders, technical and data teams, ensuring clear communication and understanding of data lifecycle requirements, challenges, and objectives.
• Support the design and implementation of risk, finance and/ or regulatory solutions with data lifecycle expertise, ensuring alignment with business goals and compliance with internal and external policies, procedures, and regulations.
• Conduct research and coordinate insights sessions in the selection and implementation of new data technologies, tools and systems for Finance and Risk Domains.
• Provide training and documentation to end-users to ensure successful use and adoption of available data management assets.

To qualify for the role, you must have:

• Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics/ Applied Mathematics, Quantitative Economics, Engineering, Finance, Economics, Business Administration, or equivalent professional education.
• Relevant work experience in client-facing data governance, data management, data engineering or data change delivery roles.
• Knowledge of data management frameworks, processes, compliance requirements, and impact of relevant regulations on data lifecycle (e.g. BCBS239 in banking).
• Minimum of 4 years of experience with a blue-chip consulting firm as a Data Consultant with a focus on finance, risk, and regulatory projects.
• Experience working with Financial Services clients (Banking, Insurance or Wealth and Asset Management).
• Familiarity with Finance, Risk or/ and Regulatory Reporting domains in Financial Services industry.
• Experience working with a selection of data tools and languages relevant to your specialism, e.g. Database Management Systems (DBMS) such as Oracle, Microsoft SQL Server, MySQL, and PostgreSQL; Data governance and metadata management tools like Collibra, Alation, and Informatica Axon; ETL tools like Informatica or Talend, Teradata, Oracle, IBM Bd2 etc, Collibra, Alteryx; AWS, Azure, Python, R. Advanced Excel, and SQL expertise are a must.
• Knowledge of data quality tools to assess, improve, and monitor the quality of data.
• Knowledge of version control systems such as Git for managing changes to code and data models.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication and interpersonal skills, with the ability to engage effectively with both technical and non-technical stakeholders.
• Ability to craft clear and professional PowerPoint presentations that effectively communicate complex data and insights.
• Team centric mindset, always ready support their colleagues and not afraid to ask for help when needed.
• Understanding and respect for client and team deadlines, great organisation skills and ability to organise and prioritise own work to achieve the delivery objectives.

Ideally, you’ll also have:

• Relevant Data Engineering or Data Management certifications and experience with Agile methodologies are a plus.
• Knowledge of graph database technologies a plus.
• Ability to deal with ambiguity and uncertainty.
• Growth and continuous learning mindset.
• Be able to conduct workshops and stakeholder interviews.
• Ability to build and manage relationships across business and technology stakeholders.
• Management of MI/ BI reports or preparation and delivery of regulatory reports as a bonus.

What we look for

• Someone who is passionate about reaching their full potential and excelling in their career
• Someone with energy, enthusiasm and courage who enjoys solving complex problems and variety in their day-to-day working life
• Someone who enjoys working as part of a community which values integrity, respect, teaming, and inclusiveness

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support and coaching from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

• Pension
• Discounted Health Insurance
• Web Doctor – Free unlimited online GP Consultations for you and your family
• The purchase of additional annual leave
• Hybrid Working
• Free Gym Membership
• Travel Pass
• Maternity & Paternity Leave
• Bike to Work Scheme
• Recognition Awards
• Cash incentives for Referrals
• Work Mobile
• Tech MBA paid by EY
• Wellness rooms available in some offices

Career Progression:

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.

Inclusion & Diversity

We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You will be embraced for who you are and empowered to use your voice to help others find theirs.

General Information

Available for VISA Sponsorship:Yes

Contract Type:Full Time - Permanent

We are looking for people with strong Data related Solutioning and Consulting client facing experience, passion for innovation, technology, data, analytics, and AI, where you will provide a consultative service on a variety of data driven decision making projects within a fast-paced consulting environment.

As a Data Architect, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. The responsibilities of the successful candidate will include:

Your Key Responsibilities:

• Understand client business needs and translate them into data architecture requirements.
• Collaborate with the Client’s business and IT teams to ensure seamless integration of data architectures.
• Design and implement data solutions that align with client objectives and industry standards.
• Create and present the solution design through a solution design document and estimate for complexity, effort, and costs.
• Demonstrate technical expertise in modern AI, analytics, big data and associated technologies, cloud platforms, data quality, governance, and architecture.
• Offer strategic advice on leveraging data for operational efficiency and competitive advantage.
• Provide technical guidance as a subject matter resource, and act as a hands on key technical delivery team member across multiple clients and engagements.
• Lead technology consulting engagements, due diligence activities and solution workshops.
• As a senior team member, shape and manage engagement teams as needed.
• Manage client expectations and communicate project progress and milestones.
• Nurture valuable relationships in the industry, with clients and within EY
• Understand EY’s service offerings and actively identify opportunities to better serve clients across our range of services.

Key Practice and People Development Responsibilities:

• Take a leading role in shaping and further growing our Data and Analytics team, and to further build our brand in the market as industry leaders in technology enabled business transformation.
• Take a leadership role in development of data architecture capabilities in the Team. Proactively develop Junior Architects and Data Team members through coaching, mentoring and career counselling.
• Stay updated on emerging data and AI technologies and industry trends to enhance service offerings. Engage in continuous learning and certification to maintain expertise in data architecture.
• Participate in business development activities including client presentations and proposals.
• Contribute to our internal team culture by taking a leading role in one of our practice pillars of interest to you.
• Play a part in driving our thought leadership agenda by maintaining an up-to-date point of view on the latest methodologies, technologies, and emerging trends for publishing as points of view or proof of concept.
• Contribute to thought leadership by writing white papers, articles, or speaking at industry events.
• Foster an innovative, supportive, and inclusive team-oriented work environment.

To qualify for the role, you must have

• Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics/ Applied Mathematics, Quantitative Economics, Engineering, Finance, Economics, Business Administration, or equivalent professional education.
• Minimum of 10 years of experience with a blue-chip consulting firm, 3+ of which in a data architecture position with client/ market facing responsibilities.
• Prior experience leading data teams in a data leadership role, e.g. data team lead, data project lead, data workstream lead etc.
• Solid experience in Enterprise Data Warehouse integration and reporting developing modern data platform solutions, data governance, architecture frameworks and processes.
• Technical leadership and the ability to work with a wider group of architects, application teams and business teams to define and socialise architectural concepts and approaches.
• Data architecture role(s) in major transformation programmes within the Financial Services sector.
• Knowledge of end-to-end finance data, e.g. source systems, accounting engines, sub-ledgers, data integration layers, analytics and reporting platforms.
• Knowledge of defining principles and guidelines for the design and management of finance data entities, finance data models and attributes across the Finance systems landscape.
• Experience of working with existing finance logical data model from package vendors (e.g. Teradata and IBM) and new cloud technologies such as GCP, AWS and Azure.
• Understanding of the current technology and data challenges and trends in Financial Services industry.
• Excellent communication and presentation skills.
• Demonstrated experience leading teams and leading medium to large data projects end-to-end.
• Technology Consulting experience.
• Client relationship management experience at senior level.
• Excellent communication, leadership, and interpersonal skills.
• Growth and continuous learning mindset

Ideally, you’ll also have

• Systems integration background or experience

• Financial Services background
• Experience of developing the Finance Data Strategy for large financial institutions, developing future state architecture
• Delivery experience in Big Data technologies and Apache ecosystem technologies such as Spark, Kafka, Hive etc and have experience building end to end data pipelines using on-premise or cloud-based data platforms.
• Hands-on experience with data design and requirements, data issues associated with the delivery of data for finance management and reporting
• Relevant technology and project/ programme management qualification are an additional bonus, e.g. Agile, Prince2, PMP, TOGAF, ITIL

What we look for

• Someone who is passionate about reaching their full potential and excelling in their career
• Someone with energy, enthusiasm and courage who enjoys solving complex problems and variety in their day-to-day working life
• Someone who enjoys working as part of a community which values integrity, respect, teaming, and inclusiveness

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

• Support and coaching from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:

• Pension
• Discounted Health Insurance
• Web Doctor – Free unlimited online GP Consultations for you and your family
• The purchase of additional annual leave
• Hybrid Working
• Free Gym Membership
• Travel Pass
• Maternity & Paternity Leave
• Bike to Work Scheme
• Recognition Awards
• Cash incentives for Referrals
• Work Mobile
• Tech MBA paid by EY
• Wellness rooms available in some offices

Career Progression:

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.

Inclusion & Diversity

We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You will be embraced for who you are and empowered to use your voice to help others find theirs.

Job Roles:

• Participate in engagements that involves Finance Transformation mostly on Digital Finance, Performance and Value Management, Regulatory Compliance and Global Business Services.
• Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and coordinate subordinate while provide updates to Manager or above as appropriate
• Participate and assist in preparing for meetings with target client's management teams
• Help prepare reports and schedules that will be delivered to clients and other parties
• Develop and maintain productive working relationships with client personnel
• Build strong internal relationships within Ernst & Young Business Consulting and with other services across the organization

Job Qualifications:

• A bachelor's degree, a master's degree focusing on Accounting from a reputable institution with minimum 3.2 GPA (out of 4.0); an advanced degree will be a bonus.
• 1-2 years of experience as a Financial Consultant/Auditor in consulting firms or as a Finance and Accounting staff/ Business Analyst in any industry. Fresh graduates with impressive internship experiences are welcomed to apply.
• Interested in business process re-engineering, finance technology implementation for finance process efficiency and digitalization.
• Good understanding of Business Value Chain and ERP finance related module is an advantage.
• Exposure on ESG finance related planning and analysis, risk assessment, financial metrics monitoring and reporting is an advantage.
• Excellent skills in both written and verbal Bahasa Indonesia and English, be able to speak other language would be a great advantage.
• Strong leadership, teamwork, across-disciplines and countries collaboration.
• Strong project management with multiple projects and diverse team members.
• Strong analytical thinking, problem solving skills, presentation and communication skills.

Dublin / Cork / Limerick / Galway / Waterford

Available for Work Visa Sponsorship:

UKI Data & AI

Contract Type:Full-Time – Permanent

General Requirements

• Independent Developer/Architect. Designs, codes, and deploys advanced GenAI/Agentic systems; owns subsystems end‑to‑end; establishes best practices at the project level; mentors juniors.
• Experience: 2-3+ years software engineering, with 2+ years focused on AI/ML.
• Academic Credentials: Beng/BSc or MSc in Computer Science, AI/ML, or related field (or equivalent experience with proven delivery).
• Expected Deliverables (not exhaustive): Enterprise-scale agent platforms and multi-agent systems; AI guardrails/safety layers; fault‑tolerant distributed services; caching/performance optimizations; evaluation pipelines; advanced prompt optimization; documented architectures.
• Core Skills: Python and/or Java, FastAPI, Docker/Kubernetes; CI/CD (GitHub); IaC (Terraform/Pulumi); workflows (Airflow/Prefect); logging/monitoring (LangSmith, MLflow).
• Patterns: ReAct, Self‑Ask, memory‑enabled RAG, multi‑agent orchestration.
• Strong interpersonal and communication skills.

Machine Learning / AI Skills

• Applied ML (deep learning, NLP, embeddings); fine‑tuning on domain data with PyTorch/TensorFlow and Hugging Face.
• Advanced prompt engineering (few‑shot, in‑context learning, dynamic prompt optimization).
• Experience with Model Context Protocol (MCP) is highly valuable.
• AI guardrails and safety (bias detection, jailbreak/hallucination mitigation, responsible AI).
• Vector databases and similarity search optimization (Pinecone, Weaviate, Milvus, FAISS).
• LLM Providers/APIs: OpenAI, Anthropic, Google Gemini; also Mistral/Llama via Hugging Face.
• Cloud: hands‑on deployment on AWS, Azure, and/or GCP; production Kubernetes; cost/performance tuning.

Ideally, You’ll also have

• MSc or PhD in a relevant field, or equivalent senior industry experience.
• Experience in designing evaluation frameworks and release gates for AI models.
• Knowledge of vector platforms like Pinecone, Weaviate, and Milvus.

What we look for

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
• Support and coaching from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you
All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:
• Pension
• Maternity & Paternity leave
• Discounted health insurance
• Bike to work Scheme
• Web Doctor - Free unlimited online GP consultations for you and your family
• Recognition Awards
• The purchase of additional annual leave
• Cash incentives for referrals
• Hybrid Working
• Work Mobile
• Free Gym membership
• TECH MBA paid by EY
• Travel Pass
• Wellness rooms Available in some offices

Career Progression

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.