Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Sales xDR Operations Team (Sales Development Operations) strives to be the brain and the spine of the Global xDR org at Okta.Your primary responsibility will be to drive operational excellence for the EMEA xDR organization and report to the Sr. Manager of AMER/Global xDR Strategy & Operations. You will equip EMEA SDRs and BDRs — including teams operating across country-specific and multilingual GTM motions — with the data insights, tools, processes, and strategies needed to meet ambitious Pipeline Generation targets. The Manager, xDR Sales Strategy & Operations Opportunity As the Manager, xDR Sales Strategy & Operations for EMEA, you will be the operational backbone of the EMEA xDR team. You will partner closely with EMEA xDR Leadership to ensure the organization has the structures, insights, and processes it needs to hit its "Stage 2 Opportunity" and Pipeline Generation quotas. You will collaborate with your AMER and APJ xDR Operations counterparts and Marketing Operations to align on global KPIs, while tailoring execution for the unique dynamics of the EMEA market. What You'll Be Doing... Business Partnership Act as a trusted advisor to EMEA xDR Leadership & Managers, providing strategic guidance and operational support. Establish and maintain the operational rhythm of the AMER/EMEA xDR business, including weekly pipeline reviews, monthly performance check-ins, and quarterly business reviews. Support the implementation of broade
Jobs in Ireland
Data Analytics Engineer in Ireland
95 active opportunities · Updated October 2026
Showing
15 jobs
Explore current data analytics engineer jobs across Ireland. Filter by work mode, employment type, experience, department, date posted and distance.
Work Flexibility: Onsite This role will be based in one of our Cork sites. Perform testing on medical device products and components using automated, semi-automated and manual methods. Follow test request protocols and report through mainly written but also verbally on the results of the tests. Evaluate variable data and understand and articulate attributes of product and component performance. Throughout the placement, you will be an integral part of Stryker’s 2026 Cooperative cohort. Tasks and responsibilities may include: Together, with your Stryker team leader and college supervisor, identify a process improvement project along with project objectives, scope, success factors, milestones and evaluation metrics Provide support to Research & Development, Advanced Operations and Global Quality Operations on the development and verification testing of new and existing products Develop and coordinate inspection and testing procedures for prototypes, components and products Formulate test guidelines and procedures and recommend revisions of specifications where necessary Set up and perform routine to non-routine experiments of moderate scope which comply with FDA requirements and appropriate engineering standards Extract and process test data/findings into both formal written and verbal reports which comply with FDA requirements and appropriate engineering standards Assist in designing, installing and maintaining process sampling systems, procedures, statistical techniques, testing mechanisms, equipment and fixtures Comply with documentation procedures and maintain test laboratory housekeeping standards to the highest level Coordinate with facilities and
About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf
We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp
We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together. W
We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. The Collections team is a newly formed team within MongoDB's Observability & Adoption Org focused on making telemetry onboarding and collection significantly easier across MongoDB. We own key parts of the observability collection stack, including onboarding experience, telemetry collection agents across the data and control planes, and ingestion services for metrics, logs, and traces that support both internal and customer observability in MongoDB, driving insights, recommendations, and alerting. Our mission is to reduce friction for teams implementing and iterating on Observability while partnering closely with development teams to instrument their services using shared best practices, helping define the conventions our telemetry should follow, and building collection and ingestion systems that are stable, performant, secure, well-documented, and self-service. We also work closely with the Data Pipeline and Storage & Query teams to help ensure MongoDB has a stable and performant observability stack end to end. This is an opportunity to join a team shaping how observability works across MongoDB and to have outsized impact on both the developer experience and the reliability of the platform underneath it. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Grafana, Sp
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Dublin for our hybrid working model. As an ideal candidate, you will have 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role. Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience implementing scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership. Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle. A Bachelor’s degree or equivalent work experience Must be fluent in Italian You may also
MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the produ
The MongoDB Query Execution Team is hiring software engineers who want to join us in developing a high performing, reliable and modular distributed query system. Our engineers work on implementing and maintaining execution algorithms, building new query language features, tuning database performance, and more to power our customers' critical workloads. This role can be based out of our Dublin office or remotely in Ireland. Relocation can be supported. Position Expectations Understand and improve current functionality of the MongoDB query engine Contribute high quality C++ code and give and solicit feedback in code reviews Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work constructively with peers to deliver excellent technical solutions Candidate Profile 5+ years of experience in systems programming Experience in databases and/or data management systems is a huge plus, but not a requirement Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases, preferably in C++, C, Rust or a similar compiled language B.Sc in Computer Science or similar field, or equivalent practical experience Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Success Measures In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series In six months, you’ll have taken on code review responsibilities and are independently delivering complex functionality and squashing bugs independently In twelve months, you’re leading the development of a new major feature and are h
MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape t
With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and per
With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and perfo
The Opportunity We are searching for an ambitious Associate Commercial Growth Account Executive. Your role will primarily be identifying new workloads to expand MongoDB's usage into accounts that are already leveraging our Database as a Service (DBaaS), Atlas, in a self-serve manner. You'll focus on helping customers understand the continuous evolution of our developer data platform and its additional features that could be leveraged for their specific use cases. You will support customers at any stage of their journey, fostering greater adoption, retention, and overall satisfaction. This role provides an excellent opportunity for growth in a highly dynamic sales team. This role will be based in our Dublin or Cork office on our hybrid working model. Day to Day Identify new workloads and potential use cases within existing accounts to drive increased Atlas consumption via your own pipeline generation and outbound activities Articulate the value of MongoDB's expanded feature set and evolving developer data platform Support customers throughout their journey, addressing any queries and ensuring optimal product usage Develop relationships within customer accounts to promote greater visibility and deepen the partnership between MongoDB and your account's decision-makers Strategically navigate diverse industries with a data-driven discovery and sales process to help land and expand customer workloads What you bring to the table At least 1 years of Sales experience, with a preference for database or software Consistent record of meeting or exceeding targets in a highly competitive environment (top 10% performer) Dynamic, enthusiastic, tenacious, team-oriented mindset Excellent verbal and written communication skills Experience working within a quota and commission structure College degree or equivalent work experience Native Arabic Speaker High EQ, coachability, intellectual curiosity, and motivation to build a career at MongoDB Things we love Familiarity with database, de
The Opportunity We are searching for an ambitious Commercial Growth Account Executive. Your role will primarily be identifying new workloads to expand MongoDB's usage into accounts that are already leveraging our Database as a Service (DBaaS), Atlas, in a self-serve manner. You'll focus on helping customers understand the continuous evolution of our developer data platform and its additional features that could be leveraged for their specific use cases. You will support customers at any stage of their journey, fostering greater adoption, retention, and overall satisfaction. This role provides an excellent opportunity for growth in a highly dynamic sales team. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Day to Day Identify new workloads and potential use cases within existing accounts to drive increased Atlas consumption via your own pipeline generation and outbound activities Articulate the value of MongoDB's expanded feature set and evolving developer data platform Support customers throughout their journey, addressing any queries and ensuring optimal product usage Develop relationships within customer accounts to promote greater visibility and deepen the partnership between MongoDB and your account's decision-makers Strategically navigate diverse industries with a data-driven discovery and sales process to help land and expand customer workloads What you bring to the table At least 1-2 years of Sales experience, with a preference for database or software Consistent record of meeting or exceeding targets in a highly competitive environment (top 10% performer) Dynamic, enthusiastic, tenacious, team-oriented mindset Excellent verbal and written communication skills Experience working within a quota and commission structure College degree or equivalent work experience High EQ, coachability, intellectual curiosity, and motivation to build a career at MongoDB Native German speaking Things we love Familiarity with d
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of Stripe's products. Product Designers work directly with Engineers, Product Managers, Data Scientists, and Marketers, as strategic partners, in each product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined. Designers are responsible for building elegant, functional products that users love—and want to tell others about. The Global design team crafts product experiences that make cross-border selling as simple, performant, and scalable as domestic sales. Experiences empower businesses to easily expand into new markets worldwide without the friction of complex global operations, ranging from localized checkout experiences and comprehensive payment method coverage to handling global tax compliance and cross-border money management. Because of its global reach, this team's efforts drive significant impact for our users and business and navigate the unique challenges of designing for regions with dozens of currencies, languages, and regulatory frameworks. What you'll do As a product designer, you'll work closely with product managers and engineering teams to envision features in the Stripe Dashboard and checkout surfaces and partner with go-to-market teams to bring them to users. That includes new feature development, loca
Other cities to consider
More places hiring for this role
Get new data analytics engineer jobs in Ireland by email
Daily job updates · Unsubscribe anytime