Data Engineer at airapps | Dublin

Join Starling Bank, the UK's pioneering digital bank, dedicated to revolutionizing the banking experience! Our goal is to leverage cutting-edge technology, provide fair service, and uphold honest values, all accessible through your mobile device.As a fully licensed UK bank, we embody the innovative spirit of a tech company, offering a fairer, user-friendly approach to banking that simplifies money management for everyone.With over 3,000 employees across our locations in London, Southampton, Cardiff, and Manchester, our talented technologists are at the core of our mission, thriving in a fast-paced environment focused on creativity, innovation, and the latest advancements in fintech. We promote a flat organizational structure, empowering you to make impactful decisions while collaborating with your team for optimal results.At Starling, we value self-drive and ownership, encouraging you to engage in building, designing, discovering, and sharing knowledge to ensure efficiency and productivity in delivering exceptional customer outcomes. Our guiding principles are embodied in our five core values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.Hybrid WorkingStarling embraces a Hybrid work model, ideally requiring you to be within a commutable distance to one of our offices for in-person collaboration. In the Technology department, we ask for a minimum of one day per week in the office.Our Data EnvironmentThe Data teams at Starling focus on various Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. We are passionate about providing valuable insights to both our business and our customers. Explore more about our team in our latest blogs or through our case studies with Women in Tech.We invite talented data professionals at all levels to join our dynamic team. We appreciate individuals who are engaged, customer-focused, and take pride in their contributions.

Join Primark as a Data Platform & Engineering Lead and drive the evolution of our data architecture and engineering practices. In this pivotal role, you will lead a dynamic team focused on building robust data platforms that support our expansive retail operations. Your expertise will guide the development of innovative data solutions, ensuring data integrity, scalability, and availability.

At Manna, we’re revolutionizing delivery services by taking them to the skies. Our ambitious mission is to make high-speed delivery in suburban areas not only affordable but also environmentally friendly and safe. We design and manufacture our own aviation-grade drones, delivering food, groceries, coffee, and more directly from local vendors to customers’ doors within minutes.Our team embodies principles of Impact, Safety, and Authenticity. We believe that the best ideas come from collaborative team players who are passionate about their work. We move quickly, embrace a growth mindset, and are committed to continuous improvement in everything we do.If you’re eager to create technology that has a meaningful impact on the world—and enjoy a fun work environment while doing it—you’ll fit right in at Manna.Welcome to Manna — where we deliver the future.Role PurposeWe are seeking a Lead Data Engineer to evolve our data infrastructure. This role combines hands-on data engineering with the responsibility of managing our core data platform, utilizing Postgres and Snowflake. You will build scalable data pipelines, manage database performance, and enable analytics and AI applications across the organization. Collaborating with engineering, analytics, and leadership, you will help shape data architecture, enhance data quality, and meet our growing data needs.Key ResponsibilitiesOversee and manage production, development, and reporting Postgres databases.Develop and improve the data platform architecture across Postgres and Snowflake.Design, implement, and maintain scalable data pipelines from raw files and source systems.Optimize data models for analytics and reporting purposes.Ensure Snowflake performance and cost efficiency.Monitor and enhance Postgres performance (including query tuning, indexing, and scaling).Guarantee data platform security, access control, and governance.Establish and uphold data engineering standards, best practices, and documentation.Introduce monitoring, alerting, and observability across data systems.Collaborate with teams to understand and deliver on their data requirements.Support AI and advanced data use cases by managing high-quality datasets.Act as a key technical authority for data platform decisions and direction.

Join our dynamic team as a Senior Engineer specializing in Infrastructure Platforms. You will play a crucial role in shaping our infrastructure, enhancing our scalability and performance. Collaborate with cross-functional teams to design and implement robust systems that support our growing user base.As a Senior Engineer, you will be expected to leverage your extensive experience in software engineering, systems architecture, and cloud technologies to drive innovation within our infrastructure.

Toast, Inc. supports restaurants and local businesses with technology that streamlines operations, increases sales, and strengthens customer relationships. Our team helps business owners use data to make better decisions and build strong teams. Role overview The Product Manager for Reporting Platform shapes how Toast customers interact with their business data. This role focuses on designing intuitive reporting tools, delivering insights that customers can act on, and building APIs that open new possibilities for using Toast’s data. The work directly impacts how restaurants understand and improve their performance. What you will do Design user-friendly reporting products for restaurant operators and other clients Develop APIs that help partners and teams access and use Toast’s data advantage Work with teams across Toast to turn complex data into useful insights Establish systems that support data-driven decisions across the company Who we’re looking for Experience building products that deliver clear, actionable insights from data Interest in creating strong user experiences and collaborating with cross-functional teams Comfort working at the intersection of strategy and hands-on execution Location This position is based in Dublin.

At Intercom, we are at the forefront of AI-driven customer service, dedicated to empowering businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology, enabling businesses to provide continuous, flawless service that enhances customer interactions. By integrating Fin with our Helpdesk, we offer a comprehensive solution known as the Intercom Customer Service Suite, designed to tackle complex, high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom has gained the trust of nearly 30,000 businesses globally, continuously setting the benchmark for outstanding customer service. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver remarkable value to our customers.What is the opportunity?We are seeking experienced Senior Product Engineers to join our AI Infrastructure team at Intercom, focused on the development of AI-powered products. As a Product Engineer within AI infrastructure, you will collaborate closely with our Machine Learning (ML) engineers and scientists. You will gain a profound understanding of our product offerings, ML technology stack, and our development processes, with the aim to enhance and expedite these processes further.The broader AI group is tasked with defining new ML features, investigating suitable algorithms and technologies, and quickly deploying initial prototypes to our customers.Our AI infrastructure team is building a platform that enables rapid adaptation to new AI advancements within days, while ensuring a reliable service for our customers. We provide foundational services for AI systems and develop framework-level code utilized daily by other engineers and scientists in the AI division.Our passion lies in leveraging machine learning technology, having successfully productized a spectrum of solutions ranging from traditional supervised models to innovative unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the tangible customer impact of every model and adjustment we implement.If you are a seasoned backend engineer with an analytical mindset and practical experience in ML systems and platforms, we invite you to connect with us!

Innovative Technology that Transforms TravelAt CarTrawler, we are a pioneering global travel technology company dedicated to facilitating seamless connections between individuals, destinations, and opportunities. From enhancing car rental services to devising smarter mobility solutions, we strive to make travel smoother for millions around the globe. Our vibrant culture fosters curiosity, collaboration, and enjoyment, where every idea is valued and every journey is significant. Are you ready to create a meaningful impact? Let’s embark on this journey together.Our Product & Technology team at CarTrawler champions innovation at every turn. By uniting engineers, product managers, designers, and analysts, we leverage creativity, data, and AI advancements to tackle challenges that simplify travel for all. Whether it's crafting intuitive digital experiences or enabling intelligent automation behind the scenes, we are shaping a future where technology and humanity coexist harmoniously.Your Journey Begins Here!As a Principal Data Engineer, you will spearhead the development of our data platform, merging extensive technical knowledge with leadership skills to enhance how data drives business decisions. You will architect and implement scalable, high-performing data solutions while mentoring your team toward engineering excellence. Operating at the crossroads of data, AI, and product innovation, you will influence system architecture, expedite project delivery, and uphold high standards. This role is hands-on in nature, allowing your contributions to resonate within both the codebase and the team’s capabilities. If you are enthusiastic about constructing robust systems and guiding others in their development, this is your chance to leave a lasting impact.

Join MongoDB, a leader in the database market, as we revolutionize the way developers create and manage applications. Our distributed systems support mission-critical services for thousands of customers worldwide.We are seeking a skilled Software Engineer to become part of our Cloud Core Alerts Platform team. You will be instrumental in designing scalable, fault-tolerant, and highly available systems that can process millions of events and alerts in real-time.This role is based in Dublin, where we embrace a hybrid working model.Our domain includes:Alert Streaming Systems: Real-time alerting pipelines using Apache Flink and Amazon Kinesis, delivering critical insights for MongoDB Atlas customers.Event Systems: SOA-based event platforms utilizing gRPC and streaming architectures to efficiently manage the MongoDB activity feed at scale.Communication Systems: Distributed services that ensure reliable delivery of alert notifications across multiple channels (email, SMS, Slack, PagerDuty).Third-Party Integrations: Secure management of customer credentials and seamless integration with external observability providers, ensuring encryption both at rest and in transit.Cross-team Collaboration: Working closely with the broader Customer Observability teams to provide unified telemetry and monitoring experiences.What you'll do:Design and develop distributed systems capable of processing millions of events per second while maintaining high availability and low latency.Lead projects from design to production, ensuring scalability, observability, and operational excellence.Enhance our streaming alerting and eventing platforms to improve reliability, throughput, and the overall developer experience.Collaborate with cross-functional teams to integrate alerting, event, and communication services into the broader customer observability ecosystem.Create secure, multi-tenant integrations with third-party providers, handling sensitive customer credentials with care.Promote best practices in distributed systems design, focusing on resilience, scalability, and fault tolerance.Mentor and guide fellow engineers, sharing expertise in distributed architectures and streaming technologies.

Innovative Technology that Transforms TravelAt CarTrawler, we are a leading global travel technology company, facilitating seamless connections among individuals, destinations, and a world of opportunities. Our services range from enhancing car rental solutions to pioneering innovative ways to enhance mobility, making travel experiences smoother for millions across the globe. Our vibrant culture thrives on curiosity, teamwork, and the joy of shared experiences, where every idea is valued, and every journey is significant. Are you ready to leave your mark? Join us on this exciting adventure!The role of AI Engineer is pivotal in delivering intelligent, safe, and scalable customer experiences. Focusing on Salesforce and customer contact platforms, this position harnesses the power of Generative AI and automation to create tangible enhancements in customer experience, agent efficiency, and cost-effectiveness. Collaborating closely with the Customer Contact, Technology, and Data teams, you will influence the design, deployment, and integration of AI solutions throughout CarTrawler's customer operations.Your Journey Begins Here!

About the Opportunity We are seeking a Senior Data Engineer to join our team and play a crucial role in designing, building, and scaling innovative data solutions that enhance analytics, operational reporting, and strategic business decision-making across the organization. Collaborating closely with our data, analytics, and business teams, you will create high-quality data pipelines, models, and integrations to provide clean, reliable, and actionable data. You will be part of a small, cross-regional engineering team that operates with a product-oriented approach, delivering iterative value while closely partnering with business and analytics stakeholders. You will take ownership of both the build and operational responsibilities of a mission-critical platform. What to Expect? Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources. Develop high-quality data models that support analytics, reporting, and operational use cases. Collaborate with analytics, product, and business stakeholders to understand their data requirements and translate them into effective technical solutions. Implement robust data quality, validation, and monitoring processes to ensure data reliability and trustworthiness. Optimize data storage, processing, and performance within cloud data warehousing environments. Contribute to the continuous development and enhancement of our modern data platform, including tools, standards, and best practices. Support data platform operations by troubleshooting issues, enhancing reliability, and ensuring Service Level Agreements (SLAs) are met. Work with cross-functional teams on data governance, documentation, definitions, and stewardship. Apply CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management. Engage in code reviews, design discussions, and operational on-call rotations as needed. Share your expertise by mentoring team members and promoting data engineering best practices. What You Need to Succeed? Required Qualifications Minimum of 5 years of experience as a Data Engineer or in a similar technical role. Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Proficient in building and maintaining ETL/ELT pipelines using tools like dbt, Airflow, or equivalent frameworks. Expertise in Python or another scripting language. Solid understanding of data modeling, data structures, and modern data engineering practices.

Join Contentful as a Senior Backend Engineer and play a pivotal role in our AI Platform team. You will be responsible for designing, developing, and maintaining scalable backend services that power our innovative solutions. This is an exciting opportunity to work with cutting-edge technologies in a collaborative environment.

PlayStation, part of Sony Interactive Entertainment, develops well-known gaming products and services such as PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, and titles from PlayStation Studios. The company emphasizes diversity and inclusion, aiming to build an environment where everyone can contribute and grow. Role overview The Manager of People Technology Platform Engineering (Workday) leads a team of Platform and Integration Engineers who design, implement, and improve the global Workday platform for Sony Interactive Entertainment. This position blends technical leadership with platform ownership, working closely with the Director of People Technology Services to deliver scalable and reliable solutions across the People Technology ecosystem. The manager helps shape both the development and ongoing maintenance of the Workday platform, ensuring long-term effectiveness. The role operates within an Agile product delivery framework and contributes to building an engineering-focused operational model. Regular collaboration with Product, Data, and Architecture teams keeps platform capabilities aligned with business needs and priorities. Team leadership This role manages a distributed team across multiple regions, emphasizing alignment and consistency. The manager delivers high-quality outcomes in a global, matrixed structure and works to keep teams connected across time zones. Location This position is based in Dublin, Ireland.

Intercom is a leading AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our AI agent, Fin, stands out as the most sophisticated customer service AI available, enabling businesses to offer round-the-clock, flawless customer service and significantly enhance their customer interaction quality. Fin can be integrated with our Helpdesk to form the Intercom Customer Service Suite, delivering AI-powered assistance for more intricate or personalized inquiries needing human intervention.Founded in 2011 and trusted by nearly 30,000 businesses across the globe, Intercom is redefining customer service standards. Guided by our core values, we continually push boundaries, build with urgency and precision, and consistently provide outstanding value to our customers.What’s the opportunity?Intercom’s websites, including intercom.com and fin.ai, serve as vital growth drivers for the company — facilitating storytelling, branding, experimentation, and product discovery. As our Lead Principal Engineer, you will be instrumental in shaping the technical direction and architectural advancement of our web platform and systems.You will serve as the technical lead across our marketing and growth web surfaces. This role involves cross-functional engineering leadership, collaborating with marketing, analytics, design, data science, and engineering teams to ensure our web stack is contemporary, efficient, measurable, and enjoyable to work on.Your role will entail a high degree of autonomy where you will be responsible for establishing the long-term technical strategy for the team and executing it effectively.What will I be doing?As a senior technical leader, you will:Oversee and advance the architecture of Intercom’s web stack.Define the long-term technical strategy for the web team, prioritizing scalability, performance, developer productivity, observability, and system reliability.Work closely with marketing, design, analytics, and data science teams to ensure the platform accurately supports their objectives with efficiency and agility.Lead and steer the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.Collaborate with engineers across web, infrastructure, and data to develop a high-quality, unified technical ecosystem.Mentor and elevate engineers across the team and organization — providing insights on architecture, data modeling, and best practices.

Intercom is at the forefront of AI-driven customer service, dedicated to revolutionizing how businesses engage with their customers.Our cutting-edge AI agent, Fin, is the most advanced solution available, allowing companies to provide round-the-clock, exceptional customer support that significantly enhances customer experiences. When combined with our Helpdesk, it forms the comprehensive Intercom Customer Service Suite, tailored to address intricate queries that necessitate human intervention.Established in 2011 and trusted by almost 30,000 businesses worldwide, Intercom is redefining customer service standards. Guided by our core values, we continuously strive to push boundaries and deliver unmatched value to our clientele.What is the opportunity?As the volume and speed of data continue to expand at Intercom, driven by our growth and the integration of advanced AI solutions, the Data Engineering team stands as a vital force propelling our future.We are on the lookout for a talented Senior Data Engineering Manager to spearhead key data initiatives and propel our efforts forward.What will I be doing?This position emphasizes impact and leadership. You will guide a team responsible for designing and enhancing the core infrastructure that underpins our comprehensive data ecosystem.Next-Gen Platform Evolution: Collaborate with product and business teams to lead the architectural design and implementation of our next-generation data stack, ensuring it meets the requirements of advanced analytics and AI applications.Enablement Through Tooling: Work closely with Analytics Engineers, Analysts, and Data Scientists to create self-service tools and infrastructure that facilitate rapid deployment and safe operations.Data Quality Guardianship: Establish advanced monitoring systems to proactively identify, highlight, and resolve data quality issues within our high-throughput environment.Driving Automation: Innovate automation and tooling that optimizes the creation and discovery of high-quality analytics data, enhancing the overall data lifecycle's efficiency.

About UsAt Davy, we believe that the unique talents of our team have been the cornerstone of our success for over 100 years. As we expand, so do you. You are not just a part of our organization – you are a vital contributor to shaping our future.Founded in 1926, the Davy Group is a leader in wealth and capital management in Ireland, delivering an extensive range of services to high-net-worth individuals, self-directed investors, SMEs, credit unions, corporations, and both domestic and international institutional investors.Our culture is founded on three core values: prioritizing client success, unity as one Davy, and fostering a proud legacy. United by common goals, we collaborate to achieve exceptional outcomes for our clients. As part of a diverse team of over 900, you will be encouraged to advance both your professional and personal growth.About the RoleWe are on the lookout for a Senior Investment Data Engineer with extensive knowledge in investment data workflows. You will collaborate closely with business experts, analytics teams, and fellow engineers to build a scalable and robust data framework that facilitates both internal reporting and client-facing insights. In this role, you will:Lead the complete development lifecycle, focusing on the design and maintenance of data models that fuel Davy’s investment team analytics.Manage data pipelines for the ingestion, transformation, and delivery of investment data from various sources, including Factset and Bloomberg.Design and maintain data models for securities master, pricing, positions, and transactions.Establish data quality frameworks comprising validation rules and reconciliation processes.Ensure our Snowflake environment is scalable to accommodate increasing data volumes and complex reporting requirements. Guide engineering and analytics teams on Snowflake best practices and cost-efficient solutions, sharing your expertise to enhance the entire product development lifecycle while fostering a culture of design and development excellence.Work alongside the Investment team to convert business requirements into effective solutions.Identify and develop processes for monitoring, alerting, and resolving issues.Continuously assess and integrate new Snowflake capabilities, refining our tech stack to keep Davy at the forefront of cloud data innovation. Advocate for automated testing, improved Azure DevOps pipeline deployment, and other innovative strategies to maintain a future-proof data foundation.

At StepStone, we are experts in global private markets, dedicated to delivering customized investment solutions, advisory services, and insightful, data-driven analysis that empowers investors worldwide. By harnessing the strength of our platform and our unparalleled intelligence across various sectors, strategies, and geographies, we equip our clients with the insights necessary for success.Position OverviewWe are seeking a meticulous (Senior) Analyst to join our Platform Analytics team within the private debt sector. This role involves close collaboration with senior professionals across diverse teams, including business development, research, legal, and compliance, to fulfill extensive data analytics needs for both internal and external stakeholders.The ideal candidate will possess a solid understanding of investments, preferably within private markets, along with strong analytical, numerical, and technical skills, as well as exceptional organizational and communication abilities.Core Responsibilities IncludeCollaborate with the portfolio analytics team to execute internal and external data analyses focused on private debt markets.Enhance and refine existing data analytics tools.Create and adapt new data analysis reports and tools for multiple data deliverables.Regular analytics tasks encompass total expense ratios, track records, ESG reports, and compliance data requirements.Interpret output data and effectively communicate insights to senior team members.Manage ad hoc requests from internal and external clients.Critically assess the quality and content of data analyses and deliverables, raising any issues identified.Assist with various projects and analyses within the portfolio analytics team and the broader analytics and reporting framework.

Digital Platforms ManagerContract Type: Specified Purpose Contract (Maternity Leave Cover)Reporting To: Head of Cinema ProgrammingSalary: €35,000 per annum, with opportunities for performance-based progression as outlined in our competency framework.Benefits: Enjoy hybrid and flexible working options, 24 days of annual leave, a bike-to-work scheme, enhanced sick pay, discounts at the IFI Film Shop & Cafe Bar, local business discounts, complimentary cinema tickets, and a pension scheme.About the Irish Film InstituteThe Irish Film Institute (IFI) stands as Ireland’s premier cultural institution dedicated to film. Nestled in the vibrant heart of Temple Bar, our historic venue on Eustace Street is home to three cinemas, extensive research and access facilities via the IFI Irish Film Archive, the IFI Film Shop, and IFI Café Bar, as well as our four digital streaming platforms: IFI@Home, IFI Archive Player, IFI@Schools, and IFI International. The IFI aims to fulfill strategic objectives through three core activities:Exhibit: Delivering unparalleled access to the finest independent, Irish, and international cinema across Ireland.Preserve: Safeguarding and promoting Ireland’s cinematic heritage through the IFI Irish Film Archive.Educate: Providing opportunities for audiences of all ages and backgrounds to engage with and learn about film through IFI Education.At the IFI, you’ll be part of a dynamic and creative community that is passionate about film and values mutual trust and respect. Our core values shape our culture and guide our approach to our mission of Exhibiting, Preserving, and Educating.Key Responsibilities:Platform Management & User Experience:Overseeing the audience journey across all IFI online platforms.Coordinating with various departments on programming priorities and ensuring timely promotions.Developing project plans and managing workflows associated with platform initiatives, coordinating timelines with relevant departments.Ensuring timely uploading and removal of content.Managing customer service inquiries related to the platform, whether public-facing or liaising with internal contacts.Ensuring a cohesive and engaging customer journey across platforms.Monitoring, identifying, and addressing any potential issues on IFI Platforms.Applying quality design standards across all platforms, while adhering to brand guidelines.

Join Toast, a leading technology company, as a Senior Software Engineering Manager overseeing our dynamic Web Platform and driving Product Led Growth initiatives. In this pivotal role, you will lead a talented team of engineers, fostering innovation and excellence while ensuring the seamless integration of our platform with customer needs and market trends.

Speechify builds text-to-speech tools that help over 50 million people convert written content, PDFs, books, Google Docs, news, and websites, into audio. Our products span iOS, Android, Mac, Chrome, and web. Recent recognition includes Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. The company operates fully remote, with nearly 200 team members worldwide. The team includes frontend and backend engineers, AI researchers, and alumni from Stanford, Amazon, Microsoft, Google, Stripe, Vercel, and Bolt. Role overview This Software Engineer position sits within the AI team and focuses on data infrastructure and acquisition. The work centers on optimizing data collection and building large-scale, high-quality datasets to support model training. The team combines infrastructure, engineering, and research to deliver petabyte-scale data pipelines. What you will do Identify and integrate new audio data sources into the ingestion pipeline Manage and extend cloud infrastructure on Google Cloud Platform (GCP) using Terraform Collaborate with scientists to improve data quality, throughput, and cost-effectiveness for next-generation models Work with the AI team and company leadership to shape the strategic roadmap for datasets powering Speechify’s consumer and enterprise products Location This role is based in Dublin, Ireland. The team works fully remotely.