1,073 Employee Data jobs in Ireland

Deloitte is the biggest professional services Firm in the world and making an impact is more than just what we do: it's why we're here. We're driven to create positive progress for our clients, community, people, and the planet. This sense of purpose inspires us to work to the highest standards, to tackle the challenges that matter.

Joining us means becoming part of a Consulting team that's at the top of its game and growing. Working with the best people and technology in the market, you'll tackle meaningful projects that transform the future for high-profile local and international clients. And you'll do it as part of a people-first culture that's supportive, collaborative and, above all, welcoming.

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Why you'll enjoy this new opportunity

At Deloitte Ireland, our AI & Data team is dedicated to unlocking the true value of data to drive business transformation and smarter decision-making. Joining this team means working at the cutting edge of AI, advanced analytics, and data engineering, collaborating with a diverse range of clients and industries. This role offers a unique opportunity to develop your technical expertise while contributing to impactful, data-driven solutions that shape the future of organisations. You will be part of a dynamic, supportive environment that encourages continuous learning, innovation, and cross-functional collaboration across Deloitte's Technology and Transformation business.

Key skills and prior experience that align well with this position

• Some relevant experience and a third-level degree in Computer Science, Statistics, Engineering, Mathematics, or a related discipline.
• Practical experience in AI, data engineering, or data analytics, including programming skills in Python or R and data analysis using SQL.
• Familiarity with cloud platforms such as AWS, GCP, or Azure, and a strong eagerness to develop expertise in these environments.
• Exposure to AI/ML frameworks (e.g., TensorFlow, Scikit-learn), experience with large datasets and distributed computing tools like Hadoop or Spark, and knowledge of Large Language Models and prompt engineering practices.

Success in the Role: Performance Outcomes in your first 6-12 months

• Effectively engage with clients to gather and analyse business requirements, identifying AI and data-driven opportunities that align with their strategic goals.
• Contribute to the design, development, and deployment of AI, data analytics, and engineering solutions that meet client needs and deliver measurable impact.
• Collaborate seamlessly with cross-functional teams, including data scientists, engineers, architects, and consultants, to deliver integrated end-to-end solutions.
• Stay abreast of emerging AI and data technologies, applying new knowledge to enhance Deloitte's offerings and your own professional growth.
• Demonstrate enthusiasm for data/AI and a strong commitment to ongoing learning in this rapidly evolving field.

Where is this role based?

This role is based in Dublin or Cork, Ireland, with a flexible hybrid working model that combines office presence and remote work. You will also have opportunities to work on client sites as required. For more information, please visit the Deloitte Works webpage.

If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process.

What we offer

Your reward at Deloitte is competitive, supports our purpose and enables our people to never stop growing. Your reward at Deloitte is not just your salary, we believe in investing in our people's personal and professional development and empowering their work-life balance. Our ambition is to achieve gender equality and enable continuous growth. We offer supports and benefits that suit you, wherever you are in life, including health and well-being, pension, savings, training, coaching and

enhanced leave options

among others.

Keep on being you. Bring your full, absolute self to work, every day. Explore, question and collaborate. Stretch your thinking, while building a career that inspires and energises you. And, whatever motivates you, keep growing both professionally and personally – because when you make an impact that matters, we do too.

HR Data Analyst

This role focuses on data management and analysis in support of Headcount (HC) and position operations. Working closely with corporate and local stakeholders, the position will play a key role in ensuring data accuracy, consistency, and timely reporting. The role also supports the Lead in data-related activities such as HC planning, data change processes, and HR expense tracking.

Your Responsibilities:

• Maintain and manage HC/position data in alignment with internal governance and data management standard.

• Support the Lead in daily HC and position data tracking, including planning, control, and data validation.

• Perform data updates and changes in the HR system for various scenarios (e.g. job title updates, data corrections, reorganizations)

• Generate and analyze regular and ad-hoc reports to support business and HR decision-making
• Collaborate with corporate and regional HR teams to continuously enhance data accuracy and reporting quality

• Participate in data-driven projects related to HC and position management

• Assist the Lead in analyzing HR expense budgets, including actual vs. budget comparisons and trend analysis

• Handle other data-related tasks as assigned by the Lead

Your Profile

Education

• Bachelor's degree and above Technical Competencies

• Proficient in excel, etc. Microsoft skills and good at Power BI is a plus

• Good at information integration

• Good command of both written and spoken English

Knowledge/Experience

• HR and process improvement experience is a plus

• Data analytics experience is a plus Behavioural Competencies

• Proactive, detail-oriented, result-focused

• Logical thinking and quick leaner

• Respect rules

The Company:
From our roots in Ireland, CarTrawler has grown into the leading B2B technology provider of car rental and mobility solutions to the global travel industry. If you've ever booked a flight and seen the option to rent a car, that was probably us; but it's our people that make everything we do possible – and we're growing

At CarTrawler, you'll find more than just a job. You'll find flexibility, meaningful impact, and a culture built by the people who live it every day. Our culture is built on high performance, genuine connection, and a shared commitment to making an impact, without sacrificing personal wellbeing. With flexible working models, meaningful time off, and dedicated growth opportunities, we enable people to do great work and feel good doing it.

We have a hybrid working policy with two mandatory days a week in our Dublin office, you have the freedom to design a routine that supports your productivity and personal life. The office offers ample car parking, a heavily subsidized (KC Peaches) canteen, convenient proximity to the Luas, and access to EV charging stations.

Role Purpose:
We are seeking a Data Engineer on a 6 month fixed term contract to develop and maintain our Snowflake data warehouse and data marts, designing and optimizing ETL processes and data models to ensure accuracy and scalability. The role requires strong skills in SQL, Python, and stored procedures, with hands-on use of Snowflake, Airflow MWAA, Soda, and DBT. Working closely with Data Engineering and wider P&T teams, you will build secure, high-performing data solutions that support business-critical initiatives.

Responsibilities & Accountabilities

• Build & Optimize Data Pipelines: Design, construct, and maintain robust, scalable ETL/ELT pipelines using dbt and Airflow to integrate new data sources and manage changes to SQL jobs.
• Troubleshooting issues with existing SQL/ETL processes and data loads to drive to solution.
• Design and build extensible data models and integration solutions using various tools such as Snowflake functionality, Airflow, Soda, DBT, AWS s3.
• Implement and enforce best practices for data quality, testing, and documentation to ensure data is accurate, consistent, and trustworthy.
• Continuously optimize our Snowflake data warehouse, refining data models and architecture to improve query performance, scalability, and cost-efficiency.

Skills & Experience Required

• 3+ years of experience in a Data Engineering or similar role.
• Hands-on experience with building data pipelines, data models and implementing data quality.
• Experience accessing and manipulating structured and semi-structured data(JSON) in various cloud data environments. Any of the following technologies Snowflake, Redshift, Hadoop, Spark, Cloud Storage, AWS, consuming data from APIs.
• Expert proficiency in Python(or scala) for data manipulation and scripting, advanced SQL and database stored procedures for complex querying and data modelling.
• Experience with orchestration and monitoring tools such as Airflow
• Solid understanding of ETL/ELT design patterns, data modelling principles and database architecture.
• Experience of full stack development, implementing continuous integration and automated tests e.g.  GitHub, Jenkins
• Proven ability to work creatively and analytically in a fast-paced, problem-solving environment.
• Excellent communication (verbal and written) and interpersonal skills.
• Proven ability to communicate complex analysis in a clear, precise, and actionable manner

Research shows that individuals from underrepresented backgrounds often hesitate to apply for roles unless they meet every single qualification, while others may apply when they meet only a portion of the criteria. If you believe you have the skills and potential to succeed in this role, even if you don't meet every listed requirement, we encourage you to apply. We'd love to hear from you and explore whether you could be a great fit.

Job Title: Health Data Insights Manager

Location: Dublin (preferred), with flexibility for London

Industry: Pharmaceutical & Biotechnology

Employment Type: Full-time | Assignment Duration: 2 Years

Are you passionate about turning patient and clinical data into insights that improve the way trials are planned and executed?

We are seeking a
Health Data Insights Manager
to join a global pharmaceutical leader. In this role, you will leverage patient-level data (EHR/EMR, claims, TriNetX, and related platforms) to generate actionable insights that enhance feasibility assessments and optimize clinical trial delivery.

Key Responsibilities:

• Collect, analyze, and interpret patient datasets to support feasibility and trial planning.
• Partner with senior leaders to deliver insights that influence decision-making.
• Ensure all outputs meet compliance, audit, and quality standards.
• Recommend and implement process improvements using advanced analytics, predictive modeling, and AI/ML.
• Stay current with emerging trends in health data science and apply innovative techniques.

What You Bring:

• 3–5 years' experience in pharma/biotech, data science, or clinical analytics.
• Hands-on experience with patient data (EHR/EMR, claims, coding systems).
• Knowledge of feasibility studies, clinical trial recruitment, or predictive modeling.
• Strong communication and stakeholder engagement skills.
• Advanced degree in Data Science, Public Health, Epidemiology, Life Sciences, Statistics, or related discipline.

Why Apply?

This is a unique opportunity to shape how patient-level data drives smarter, faster, and more efficient clinical trials — directly impacting patients' lives.

Please apply with your latest CV with all relevant experience, skills, and motivation for this long assignment.

You can also send your CV, daily rate/salary expectations, availability to interview and to start to marina.-

Dr Marina Economidou, Senior Client Partner

Data Engineer – Dublin OR London (Hybrid)

Permanent, Full-time Role

€90,000 / £78,000 (approx.) + Benefits

Overview

We are seeking a skilled Data Engineer to join our client's product engineering team, supporting Business Intelligence and Data Science initiatives primarily using AWS technologies. You will collaborate closely with their corporate technology team to build, automate, and maintain AWS infrastructure.

This role requires a highly competent, detail-oriented individual who stays current with evolving data engineering technologies.

Key Responsibilities

• Collaborate with data consumers, producers, and compliance teams to define requirements for data solutions with executive-level impact.
• Design, build, and maintain solutions for Business Intelligence and Data Science on AWS, including:
• Data ingestion pipelines
• ETL/ELT processes (batch and streaming)
• Curated data products
• Integrations with third-party tools
• Support and enhance the data lake, enterprise data catalog, cloud data warehouse, and data processing infrastructure.
• Provision and manage AWS services and infrastructure as code using Amazon CDK.
• Provide input on product/vendor selection, technology strategies, and architectural design.
• Identify and implement improvements to reduce waste, complexity, and redundancy.
• Manage workload efficiently to meet service levels and KPIs.
• Execute incident, problem, and change management processes as required.

Qualifications

• Degree in Information Systems, Computer Science, Statistics, or a related quantitative field.
• 3+ years experience with Spark in production environments, handling batch and stream processing jobs. Exposure to Ray is advantageous.
• 3+ years experience with cloud data warehousing tools such as Snowflake, Redshift, BigQuery, or ClickHouse.
• Expert SQL skills, with exposure to HiveQL.
• Proficiency in Java, Scala, Python, and Typescript programming.
• Strong understanding of AWS security mechanisms, particularly relating to S3, Kinesis, EMR, Glue, and LakeFormation.
• Experience with GitHub, DataDog, and AWS.
• Proven ability to learn and apply open-source tools independently.
• Strong ownership mindset and proactive approach.

Position Overview:
As an Annotation Associate, you will be responsible for manually annotating and labeling data items for our client in the Data Annotation space. This role includes supporting various streams that are part of the team/project. You will provide day-to-day support to the project leads and the teams, ensuring the accuracy and reliability of data sets.

Roles and Responsibilities:

• Manually annotate and label data items.
• Verify the accuracy and reliability of data sets.
• Create targeted sets to evaluate and improve judgment quality.
• Annotate search results based on how well they satisfy user needs.
• Verify annotated data and correct any errors.
• Maintain records of completed work.
• Ensure consistency in data annotation.
• Provide feedback to improve data annotation processes.
• Collaborate with team members to meet project objectives.
• Analyze test results to identify areas of weakness and make recommendations for improvement.

Skillset:

• Native Polish language proficiency + English C2 level proficiency.
• Excellent communication skills, verbal & written.
• Experience with data labeling and categorizing.
• A keen eye for detail to ensure accuracy in annotation.
• Strong research skills to analyze the possible intents behind user search queries.
• Ability to manage time effectively and meet deadlines.
• Ability to analyze data and follow complex instructions.

Minimum Skills to Hire:

• A bachelor's or master's degree.
• Ability to aggregate and analyze data in Excel.
• Experience with data labeling and categorizing.
• Listening to content and transcribing the content (Listening, Speaking, Reading, Writing).

Preferred Qualifications

• Understanding of the domain relevant to the annotation project (Ex: Audio, Text annotation, speech recognition, Natural language Processing.
• Experience with annotation tools and platforms.
• For certain projects, proficiency in specific languages may be required.

Benefits:

• Competitive salary
• Medical Insurance
• Life Insurance
• Pension scheme
• Leap card & Bike to work scheme

Job Title: Annotation Associate - Polish

Location: Dublin, 18

Experience: 0-1 Years

Position Overview:
As an Annotation Associate, you will be responsible for manually annotating and labeling data items for our client in the Data Annotation space. This role includes supporting various streams that are part of the team/project. You will provide day-to-day support to the project leads and the teams, ensuring the accuracy and reliability of data sets.

Roles and Responsibilities:

• Manually annotate and label data items.
• Verify the accuracy and reliability of data sets.
• Create targeted sets to evaluate and improve judgment quality.
• Annotate search results based on how well they satisfy user needs.
• Verify annotated data and correct any errors.
• Maintain records of completed work.
• Ensure consistency in data annotation.
• Provide feedback to improve data annotation processes.
• Collaborate with team members to meet project objectives.
• Analyze test results to identify areas of weakness and make recommendations for improvement.

Skillset:

• Native Polish language proficiency + English C2 level proficiency.
• Excellent communication skills, verbal & written.
• Experience with data labeling and categorizing.
• A keen eye for detail to ensure accuracy in annotation.
• Strong research skills to analyze the possible intents behind user search queries.
• Ability to manage time effectively and meet deadlines.
• Ability to analyze data and follow complex instructions.

Minimum Skills to Hire:

• A bachelor's or master's degree.
• Ability to aggregate and analyze data in Excel.
• Experience with data labeling and categorizing.
• Listening to content and transcribing the content (Listening, Speaking, Reading, Writing).

Preferred Qualifications

• Understanding of the domain relevant to the annotation project (Ex: Audio, Text annotation, speech recognition, Natural language Processing.
• Experience with annotation tools and platforms.
• For certain projects, proficiency in specific languages may be required.

Benefits:

• Competitive salary
• Medical Insurance
• Life Insurance
• Pension scheme
• Leap card & Bike to work scheme

We are seeking a highly skilled
Azure Data Engineer with strong experience in Dynamics 365
to join our team and support the delivery of our Dynamics 365 implementation. The ideal candidate will have extensive experience in Azure and Azure Data Factory and a strong background in integrating systems using various technologies and patterns. This role involves creating API interfaces using Azure Integration Services and integrating with Dynamics 365, leveraging Dataflows, ODATA, and other patterns.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF), including mapping data flows and parameterized pipelines.
• Integrate with Microsoft Dataverse and Dynamics 365 using ADF's native connectors, OData endpoints, and REST APIs.
• Collaborate with cross-functional teams to understand integration requirements and deliver robust solutions.
• Develop and optimise dataflows for transformation logic, including column reduction, lookups, and upsert strategies
• Implement delta load strategies and batch endpoints to manage large-scale data synchronisation efficiently
• Ensure data consistency and integrity across systems by leveraging unique identifiers and business keys.
• Collaborate with business analysts and architects to translate business requirements into technical solutions.
• Monitor, troubleshoot, and optimise pipeline performance using ADF's built-in diagnostics and logging tools.
• Contribute to data governance, security, and compliance by implementing best practices in access control and data handling.
• Collaborate on the development of new standards and practices to improve the quality, capability, and velocity of the team.
• Mentoring and coaching of junior team members new to Azure to ensure that the team builds up a strong capability

Requirements:

• ADF Expertise. Proficient in building pipelines, triggers, and mapping dataflows. Experience with parameterisation, error handling, and pipeline orchestration
• OData & API Integration. Strong understanding of the OData protocol. Experience integrating with REST APIs
• Dataverse & Dynamics 365. Hands-on experience with Dataverse schema, connector configuration, and data model mapping. Familiarity with D365 entity relationships
• Data Modelling. Understanding of conceptual, logical, and physical data models.
• SQL & Scripting. Strong SQL skills for data extraction and transformation
• Testing & Automation. Experience with end-to-end testing of data pipelines and automation of data validation processes
• Documentation & Collaboration. Ability to document data flows, transformation logic, and integration patterns. Strong communication skills for cross-functional collaboration.
• Azure Developer certification is highly desirable.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Dynamics 365 experience is a must

Company Overview
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries.

About The Role
We are seeking a experience leader to join our Treasury Platform Operations (TPO) team. This role is responsible for driving data governance, reporting, and strategic analytics to support global Treasury initiatives. The candidate will work cross-functionally with Treasury leadership, Client Services, Risk, Finance, Audit, and IT/Engineering teams to deliver scalable and forward-looking solutions.

Key Responsibilities

• Lead Treasury data governance strategy, including rule design in Collibra and quality monitoring across key data dimensions (completeness, timeliness, accuracy, etc.).
• Own Treasury reporting and analytics via Power BI, delivering insights on global cash positions, counterparty exposure, wire activity, KPIs, and account opening pipelines.
• Partner with IT and engineering to manage data ingestion (APIs/ETL) into Snowflake and maintain Treasury-owned data views.
• Enhance reconciliation processes across transactions, capital calls, and interest postings; drive automation and anomaly detection.
• Support risk integration by embedding risk-weighted metrics into Treasury dashboards and reporting.
• Collaborate with external platforms (Hazeltree, Bloomberg, SWIFT) to strengthen data flows, governance, and reconciliations.
• Drive adoption of AI/ML and advanced analytics for forecasting, stress testing, and performance optimization.

Qualifications

• 10+ years of experience in Data, Analytics, Finance, or Treasury roles, ideally within financial services or private equity.
• Bachelors Degree or equivalent work experience required
• Ability to manage standard reports, templates & dashboard.
• Ability to adhere to the compliance requirements of processes
• Ability to develop and enhance data protection and management tools or applications
• Ability to design and execute data management focusing on data governance and data quality activities.
• Demonstrated ability to collaborate with cross-functional stakeholders and translate business needs into technical solutions.
• Strong technical acumen with Treasury systems (TMS, SWIFT, Bloomberg), Snowflake, and Power BI.
• Proficiency in SQL
• Experience with Python is a plus
• Strategic thinker with interest in automation, AI/ML, and Treasury innovation
• Displays high attention to detail
• Demonstrates outstanding initiative and strong work ethic
• Focuses on delivery excellence and accountability
• Displays team-work orientation and is highly collaborative
• Displays strong integrity and professionalism
• Builds strong relationships with local and global colleagues
• Demonstrates strong track record in accuracy and organization
• Demonstrates excellent written, verbal, and interpersonal communication skills

Why Join Us

This is a high-impact role within a growing Treasury organization, directly enabling firm growth and transformation goals.

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.