206 Data Acquisition jobs in Ireland

Who We Are
At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

See Yourself at Twilio
Join the team as Twilio's next Senior Talent Acquisition Data Reporting Analyst.

About The Job
Twilio seeks a data-driven TA Data Reporting Analyst to empower our Talent Acquisition and People teams by analyzing key data, building custom reports, and translating complex insights, and stories into business impact. You'll partner extensively with Talent Acquisition, People Insights, Workforce Planning, and leaders across the business to optimize recruiting effectiveness, enable hiring quality talent and guide strategic talent intelligence. Your expertise will enable informed decisions and operational excellence through compelling storytelling, robust data governance, enable data literacy and deliver advanced analytics.

Responsibilities
In this role, you'll:

• Build and evolve the Recruiting Data Strategy, designing metrics, requirements, and definitions in partnership with key stakeholders.
• Partner with People Insights, WFP, Finance, and Talent leaders to deliver and maintain actionable analytics, dashboards, and solutions that enhance recruiting capacity and effectiveness.
• Perform advanced data analysis using available dashboards and tools to extract insights, preparing memos and presentations that empower business and talent decision-making.
• Develop a reliable Headcount (HC) Plan to support capacity planning and resourcing. This HC Plan should proactively contribute to our talent strategy by ensuring that the organization is well-prepared for future staffing needs and can effectively align talent acquisition efforts with business goals
• Build custom reports and conduct ad hoc data blending to reveal recruiting trends, measure program effectiveness and ROI, and support operational excellence.
• Develop, document, and implement system audits to ensure global data accuracy, and drive process improvements including automation opportunities.
• Act as a bridge between business and technical teams, gathering requirements to enhance data tooling and the user experience.
• Work with internal teams to identify opportunities for improved data processes, reporting automation, and better program outcomes.
• Oversee Candidate data governance by implementing policies, audits, and controls for data quality, compliance, and privacy.
• Continuously adopt and enable new analytics tools and methodologies to work with internal teams to identify opportunities for improved data processes, reporting automation, and better program outcomes.

Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table

Required

• 2+ years of experience working in recruiting and recruiting leadership across various contexts (e.g., Technology, Executive Search, Global recruiting teams).
• 8+ years of industry experience, managing, designing and delivering world-class data, insights and technology solutions in the HR domain.
• Proficiency in SQL for data querying, reporting and analyzing data
• Strong understanding of the talent data landscape, the functions and processes that produce this data, including existing challenges and best practice.
• Expertise in analyzing, interpreting and utilizing people-related data.
• Strong analytical skills and experience with multiple data analysis and visualization tools, including AI-powered analytics platforms (i.e. visier).
• Demonstrated ability to craft clear, compelling data stories, present insights effectively to a wide variety of audiences, and translate complex analyses into actionable recommendations.
• Proven stakeholder management skills, with a track record of collaboration and influence across technical and non-technical teams.

Desired

• Experience developing and implementing talent acquisition data strategies and roadmaps in a global or technology-driven organization.
• Familiarity with workforce planning, Capacity planning, headcount planning, operational and data transformations
• Experience with business intelligence (BI) tools such as Tableau, Visier, and/or expertise with platforms like Visier or Eightfold.
• Demonstrated success creating enablement documentation and facilitating end-user adoption of analytics tools.

Location
This role will be remote, and based in Ireland.

Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

The participants will have to record 2 unscripted audio samples (each approx. 30s long) - one natural and one with emotions, according to the provided instructions. The goal is to obtain natural recordings showcasing your native accent.

In addition to the recordings, each participant needs to provide accurate transcriptions of the audios.

Please note: The participant-provided recordings may be used publicly by the client. By participating in this project, participants acknowledge and accept that their audio samples may be utilized in public-facing applications or services.

Expected Project Duration: September – November 2025

Estimated time to complete the task: up to 1 hour

Qualification path

Requirements:

• 18+ years of age.
• Have access to a smartphone with either iOS 17.0 (or above) OR Android 8.0 (or above).
• Native English speaker.
• Located in Ireland
• Stable Internet connection for the duration of the task.
• A quiet environment to record the audios.

Payment:

• $42.50 USD for the whole task, paid upon successful completion and submission of the task.
• This is an independent contractor opportunity.
• Payment will be processed via our AI Community platform through Hyperwallet.

We are seeking an experienced operations professional to manage critical data acquisition infrastructure supporting advanced AI model development. This contract role requires exceptional operational acumen, demonstrated ability to scale complex workflows, and meticulous attention to quality standards across high-volume data collection initiatives.

Strategic Operations Management

• Oversee end-to-end execution of multiple concurrent data acquisition programs encompassing speech, visual, textual, and audio content streams

• Develop and implement scalable operational frameworks ensuring consistent achievement of volumetric targets while maintaining stringent quality thresholds

• Drive continuous process improvement through systematic identification and elimination of operational inefficiencies

Stakeholder & Contributor Management

• Design comprehensive contributor engagement strategies optimizing recruitment, onboarding, retention, and successful task completion

• Establish robust support infrastructure delivering timely resolution of technical and procedural inquiries

• Cultivate productive relationships with internal stakeholders through transparent communication and data-driven insights

Quality Assurance & Compliance

• Implement rigorous quality control methodologies maintaining data acceptance rates exceeding 95%

• Ensure strict adherence to data governance protocols, consent management, and regulatory requirements

• Develop predictive quality indicators enabling proactive intervention and remediation

Performance Analytics & Reporting

• Generate comprehensive operational intelligence providing actionable insights for strategic decision-making

• Establish KPI frameworks measuring throughput, quality, efficiency, and contributor satisfaction

• Deliver regular executive summaries highlighting achievements, challenges, and optimization opportunities

This position offers complete location flexibility within European time zones. Candidates must maintain reliable high-speed internet connectivity and professional home office environment conducive to managing distributed operations.

Qualified candidates should demonstrate clear alignment with outlined competencies and provide specific examples of operational excellence in similar environments. We value diverse perspectives and encourage applications from candidates with non-traditional backgrounds who possess relevant transferable skills.

Professional Experience

• Minimum 1-3 years operational management experience within data-intensive environments (crowdsourcing platforms, research operations, content moderation, or similar domains)

• Demonstrated success managing distributed contributor networks (100+ simultaneous participants)

• Proven ability to meet aggressive performance targets while maintaining exceptional quality standards

Technical & Analytical Competencies

• Proficiency in operational tools and platforms for workflow management, data tracking, and process automation

• Strong analytical capabilities with experience translating complex data into actionable operational strategies

• Familiarity with quality assurance methodologies and statistical sampling techniques

Communication & Leadership

• Exceptional written and verbal communication skills in English (additional languages highly valued)

• Experience delivering technical support through multiple channels (email, chat, ticketing systems)

• Ability to influence without authority and drive results through collaborative partnerships

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.

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.

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

Role Description

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable efficient data collection, processing, and analysis. This role ensures that high-quality, reliable data is available to support business intelligence, analytics, and machine learning initiatives. The ideal candidate is technically strong, detail-oriented, and passionate about building robust data systems that transform raw data into actionable insights.

Key Responsibilities

• Design, develop, and optimize data pipelines, ETL/ELT processes, and workflows for structured and unstructured data.
• Build and maintain scalable data architectures that support data warehousing, analytics, and reporting needs.
• Integrate data from multiple sources such as APIs, databases, and third-party systems into centralized data platforms.
• Collaborate with data analysts, data scientists, and business teams to understand data requirements and ensure data accuracy and availability.
• Develop and enforce best practices for data governance, security, and quality assurance.
• Monitor, troubleshoot, and optimize data processes for performance and cost efficiency.
• Implement data validation, cleansing, and transformation procedures to maintain data integrity.
• Work with cloud platforms (e.g., AWS, Azure, GCP) to manage data storage, orchestration, and automation tools.
• Create and maintain documentation for data models, data flow diagrams, and pipeline configurations.
• Support the development of analytics and machine learning pipelines by providing clean and well-structured datasets.
• Collaborate with DevOps teams to deploy, scale, and maintain data infrastructure in production environments.
• Continuously improve data engineering practices through automation, monitoring, and innovation.
• Stay updated on emerging technologies and trends in data architecture, big data, and cloud computing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 2–5 years of experience in data engineering, data warehousing, or database development.
• Strong proficiency in SQL and at least one programming language (Python, Java, or Scala preferred).
• Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, dbt, or Talend).
• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Familiarity with cloud-based data services (AWS Redshift, Google BigQuery, Azure Synapse, or Snowflake).
• Solid understanding of data modeling, schema design, and database management (relational and NoSQL).
• Knowledge of APIs, data integration, and data streaming methodologies.
• Strong problem-solving, analytical, and debugging skills.
• Excellent collaboration and communication abilities to work cross-functionally.
• Experience with containerization tools (Docker, Kubernetes) and CI/CD pipelines is a plus.
• Commitment to building efficient, scalable, and reliable data systems that support business growth.

Data Engineer - Flexible Working

Permanent | Hybrid | Dublin

€50,000 - €0,000 DOE

TechHeads is excited to bring you a new opportunity for a Data Engineer to join a growing team within a forward-thinking organisation that values collaboration, innovation, and continuous improvement.

In this position, you will be responsible for gathering requirements from stakeholders and building complex and scalable reports that will be used by users throughout the organisation. You will work with modern tools such as, Power BI, DAX, Azure and more, allowing you to develop your technical skillset with industry relevant tech.

This fulltime role, based in Dublin, will give you the opportunity to join an employee focused organisation. They support a flexible working model of 2 days onsite as well as a culture of internal progression, offering you excellent work-life balance and growth potential.

If you're looking for an impactful role where you can work with flexibility and modern technologies, this role is for you

Required:

• 2+ years experience developing interactive dashboards and reports in Power BI.
• 2+ years experience working SQL.
• Experience working with DAX for creating measures, calculated columns, and complex business logic.
• Experience with ETL or any Data Engineering related activities.
• Experience implementing security and RLS in Power BI and Azure.
• Strong analytical and problem-solving skills.

Salary: ,000 - ,000 DOE

Benefits: Pension, Flexible Working and more

If you would like to be considered for this position, please share a copy of your updated CV to

Data Engineer – 6 Month Contract, Hybrid, Dublin

What's Involved

• Build and maintain data pipelines using Snowflake.
• Optimise Snowflake architecture and models for performance and scalability.
• Translate business requirements into technical solutions in collaboration with analysts and architects.
• Implement data governance, access control, and security best practices.
• Monitor, troubleshoot, and fine-tune pipeline performance using ADF and Snowflake tools.
• Document data flows, transformations, and integrations clearly and consistently.
• Mentor and support junior engineers in data engineering best practices.

What's Needed

• 7+ years' experience in data engineering or integration roles.
• Strong Snowflake and SQL Server skills for data design and optimisation.
• Proven ability with ADF pipelines, including parameterisation and error handling.
• Solid grasp of data modelling and modern data-warehouse design.
• Experience with data testing, automation, and validation.
• Strong collaboration and documentation skills.
• Snowflake or Azure Data Engineer certification preferred.