Staff Engineer — Data Platform

Join rithum as a Senior Data Engineer!As a key player in our Data Engineering team, you will be responsible for designing, developing, and maintaining robust data pipelines and architectures that enable data-driven decision-making across the organization. Your expertise will help us harness the power of data and drive innovation.Key Responsibilities:Design and implement data models, ETL processes, and data integration strategies.Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs.Optimize data storage and retrieval processes to enhance performance and efficiency.Ensure data quality and integrity through rigorous testing and validation procedures.Stay updated with industry trends and best practices to continuously enhance data engineering strategies.

Senior Data Engineers at jobgether shape the foundation of the company’s data systems. This role centers on creating, improving, and maintaining data pipelines and architectures that support advanced analytics. Main responsibilities Design and develop data pipelines for efficient data movement and transformation Optimize data architectures to handle complex analytical workloads Collaborate with data scientists and analysts to align infrastructure with business needs What you bring Strong analytical skills for solving data challenges Proficiency in programming relevant to data engineering Deep understanding of data management principles This position is based in Ireland and focuses on building scalable, reliable data infrastructure to support jobgether’s analytical goals.

Rithum™ stands as the world's most reliable commerce network, revolutionizing the collaboration between brands, suppliers, and retailers to create seamless e-commerce experiences. Our unparalleled platform empowers brands and retailers to accelerate growth, optimize multichannel operations, expand product offerings, and enhance profit margins. Currently, over 40,000 companies rely on Rithum to drive their business growth across numerous channels, representing an impressive annual GMV exceeding $50 billion. With our comprehensive commerce, marketing, and delivery solutions, our clients craft optimized consumer shopping journeys from start to finish. Position Overview As a Senior Data Engineer, you will play a pivotal role in architecting, delivering, and maintaining a sophisticated data infrastructure that fuels advanced analytics. You are a seasoned data engineer with robust ETL pipeline and dimensional modeling expertise, prepared to harness AI as a formidable collaborator while ensuring its effective application for the sustainable health of our business systems. Your responsibilities include constructing complex data pipelines from the ground up and enhancing our database infrastructure to support advanced analytics, AI-driven decision-making, and autonomous data operations. You will collaborate across the organization, working closely with product teams, engineers, data scientists, and data analysts. In this capacity, you will enhance and support our company's cloud data architecture to facilitate our product and data initiatives for both external clients and internal stakeholders.

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.

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 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.

Role overview Jobgether is recruiting for a partner company in need of a Senior Python Data Scraping Engineer. This freelance position is fully remote within Ireland. The main focus is on building and maintaining advanced systems for extracting web data to support both artificial intelligence and human processes. What you will do Design and implement scalable solutions in Python for web data scraping Tackle challenges related to dynamic websites and large datasets Deliver structured and accurate data for analytics and AI-driven projects Update and refine scraping strategies to match evolving web environments Collaborate with AI agents and ensure high standards of accuracy and quality Requirements Extensive experience using Python for web scraping and automation Strong problem-solving skills and ability to work independently Background working with large datasets and dynamic web content Keen attention to detail and a focus on data quality Comfortable working remotely as a freelancer Location This role is remote and available to candidates residing in Ireland.

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.

About UsAMCS Group, a leader in sustainability software solutions, is based in Ireland with a global presence across Europe, the USA, and Australasia. We are proud to employ over 1,300 talented professionals in 22 countries, dedicated to pioneering technology solutions that support a carbon-neutral future.Our MissionOur cutting-edge SaaS products are designed to enhance efficiency and promote sustainability in resource-intensive sectors. Currently, over 5,000 customers in 23 countries leverage our Performance Sustainability software, which helps ensure that we provide effective solutions for profitability and environmental resilience worldwide.Position OverviewWe are on the lookout for a dynamic and experienced Data Engineering Manager to join our innovative engineering team. In this Agile environment, you will lead teams of Data Engineers and Data Scientists tasked with developing our next-generation Unified Data Platform.This role presents an exciting opportunity to shape and enhance our data platform by utilizing the latest technological advancements and methodologies. You will collaborate closely with Data Architects and Product Managers to deliver robust, Enterprise-ready solutions while ensuring effective team management and platform delivery.We value a strong work ethic, a proactive attitude, and a culture of friendly collaboration and teamwork. You will inspire continuous improvement and foster high-performing teams, keeping a close eye on KPIs and monitoring both individual and team performance. A passion for quality and a commitment to tackling new challenges is essential.The ideal candidate will boast a solid background in Data Engineering, coupled with a deep understanding of Data Platforms. As the Data Engineering Manager, you will guide our engineers and engage in architectural and strategic decision-making regarding technology choices, design approaches, and product roadmaps, with a focus on system reliability and performance centered around an outstanding customer experience.

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.

Role overview airapps seeks a Data Engineer in Dublin to design and build data solutions for its products and daily operations. The role requires a mix of technical expertise and teamwork, supporting both the technical and business sides of the company. What you will do Design and implement data architectures tailored to business requirements Maintain data integrity across several platforms Collaborate with teams from different departments to extract and interpret data-driven insights Streamline and improve workflows for handling data Location This role is based in Dublin.

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.

Are you ready to unlock your full potential? At Coinbase, we are on a mission to foster economic freedom globally through innovative cryptocurrency and blockchain solutions. Join us in shaping the future of the financial landscape.We are looking for an enthusiastic Senior Data Security Engineer who shares our passion for revolutionizing the financial system. If you thrive on challenging problems, seek continual feedback, and aim to leave a lasting impact, you may be the perfect fit for our dynamic team.Our work culture is driven and collaborative, ideal for those who excel in their expertise and are eager for mutual growth. While we embrace a remote-first approach, in-person collaboration is essential during key offsite events throughout the year.

Role overview jobgether seeks a Senior Data Analyst with marketing expertise to join the team in Ireland. This role focuses on working with large data sets to uncover insights that guide business decisions and strengthen marketing outcomes. What you will do Examine complex data sets tied to marketing campaigns and customer behavior Turn analytical findings into practical recommendations for the business Collaborate with colleagues across departments to help develop and refine marketing strategies Location This position is based in Ireland.

Join our dynamic team at tekenable as a Senior Data Architect, where you will play a pivotal role in a major digital transformation initiative within the public sector. This position is essential for designing and implementing a comprehensive data governance framework that ensures cohesion among systems and stakeholders. Your expertise in strategic planning and technical data management will be crucial in driving secure and scalable solutions, while facilitating effective knowledge transfer across teams.This hybrid role requires you to be on-site in Dublin for three days a week, fostering collaboration and innovation.Key Responsibilities:Lead the overall engagement by developing a detailed engagement and delivery plan, ensuring all deliverables meet required standards.Conduct thorough reviews of existing data workstream documentation to ensure new activities are properly aligned.Collaborate with internal stakeholders to design an initial data governance roadmap and operating model that includes policies and procedures for effective data ownership and stewardship, adaptable to changes in scope and scale.Document technical implementation steps for the data governance model, ensuring usability across all data storage, management, and reporting platforms.Engage with business stakeholders to secure approval on the current Critical Data Elements (CDE) list and identify any additional CDEs for documentation, aligning with the Business Requirements Document (BRD) and analytical architecture.Map CDEs to potential target CRM platforms based on analytics needs, resulting in detailed technical specifications and Entity Relationship Diagrams (ERDs).Enhance the migration strategy with comprehensive ETL processes, including source-to-target mappings and quality assurance checks, leading to the creation of a migration playbook and validation procedures.Design synchronization for SQL Server, CRM, and analytical platforms using iPaaS, prioritizing core CDEs and producing architecture documents and design specifications.Develop test cases for migration and iPaaS synchronization in collaboration with the QA lead, ensuring comprehensive coverage of all CDEs and analytics.Ensure alignment of all testing and validation activities across roles.Facilitate effective knowledge transfer activities.

Since its inception, Fivetran has aimed to simplify and ensure reliable access to data, akin to the reliability of electricity. Our technology enables organizations to seamlessly integrate customer data into their warehouses, making it readily available for querying without requiring engineering or maintenance. We take pride in empowering businesses to become truly data-driven through our innovative solutions.About the RoleAt Fivetran, we are revolutionizing the modern data stack by building robust data pipelines for thousands of companies.We are seeking an exceptional Sales Engineer to join our Commercial sales team. In this role, you will collaborate closely with our sales team to comprehend the intricate business needs of our Commercial clients and demonstrate how Fivetran's data replication solutions can drive their success. Your responsibilities will include providing technical insights, identifying client requirements, and ensuring a successful proof of value throughout the sales process.This is a full-time position based in our Dublin office, where we embrace a hybrid work model that combines remote flexibility with in-person teamwork, requiring two days in the office each week.

Join an exceptional success story rooted in Donegal, now a part of a prestigious global brand specializing in cloud data protection. Our client has rapidly expanded its reach, serving customers across more than fifteen countries. This is a remarkable chance to elevate your career by collaborating with a team of highly skilled engineers locally.As the company continues to grow, we invite you to seize the opportunity to become a lead technologist in this dynamic environment.Job Overview:We are on the lookout for Senior Full Stack Engineers with substantial expertise in Node.js and AngularJS. In this role, you will be responsible for managing the data interchange between the server tier and users. Your main focus will be on developing robust server-side logic, defining and maintaining the central database, and ensuring optimal performance and responsiveness to front-end requests. The ideal candidate will emphasize software delivery best practices and demonstrate a leading role in defining industry-aligned methodologies. Direct contributions to establishing quality delivery practices, both in technology and process, will be considered a significant advantage.

Position: Senior Data ConsultantDepartment: Data and AILocation: DublinContract Type: PermanentTravel Requirement: OccasionalReporting To: Data and AI Practice Director Company Overview:Storm Technology excels at empowering businesses to unlock the full potential of digital technology. As a distinguished Microsoft Solutions Partner with over 30 years of industry experience, we are the preferred partner for businesses seeking to advance and adopt Microsoft solutions. Our team consists of accomplished professionals in business, technology, and change management, all dedicated to delivering measurable ROI through a proven project methodology. We are passionate about crafting optimal Microsoft technology solutions tailored to our clients' needs. In August 2024, Storm was acquired by Littlefish, a prestigious managed IT and cybersecurity services provider from Nottingham, UK. This acquisition enhances our service offerings for both new and existing clients in Ireland, particularly in managed IT services and cybersecurity, while paving the way for future growth and the delivery of Microsoft business solutions in the UK market. Together, Storm Technology and Littlefish are committed to providing industry-leading services to our clients across managed IT services, cloud solutions, and strategic consultancy. Join us during this exciting phase of our growth! Role Overview:We are on the lookout for a Senior Data Consultant who is enthusiastic about data analytics and dedicated to helping clients maximize their data's potential. Within our Data and AI consultancy team, we strive to assist clients of all sizes in gaining deeper insights by understanding, modeling, and predicting favorable outcomes. As we expand in response to new client engagements, we invite you to consider joining our dynamic team. This role reports directly to the Data and AI Practice Director and collaborates closely with clients, team leads, technical consultants, resource managers, and developers to achieve our practice's goals and objectives. Key Responsibilities:Engage with clients to understand their data requirements.Provide expert advice on data strategy, architecture, and governance.Collaborate with cross-functional teams to deliver impactful data solutions.