Job Description About Us HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we've achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies across the globe such as Monzo, Happy Socks, Fiverr, and VaynerMedia rely upon Bob to help them create the best work experiences for their people. Come and be you with us Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If that's bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, we're waiting with open arms. Come join us. We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team. You'll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep Hibob's data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders. About the Platform group The Platform Group accelerates Hibob's productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, you'll help shape the technical foundation that supports our entire engineering team. Job Requirements - 5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems - Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code - Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming) - Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery) - Solid hands-on experience with event-streaming platforms such as Apache Kafka - Familiarity with data-orchestration frameworks such as Airflow - Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure) - Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners Bonus Skills - Experience building data governance or security/compliance-aware data platforms - Familiarity with Kubernetes, Docker, and infrastructure-as-code tools - Experience with data quality frameworks, lineage, or metadata tooling Job Responsibilities - Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals - Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off - Improve system observability, testing and incident response processes for the data stack - Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards - Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement - Stay current with evolving data-engineering tools and bring pragmatic innovations into the team Benefits Join our village HiBob is a village filled with amazing people and we're especially proud of that. It's a place where Bobbers can be themselves. We're about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you'll receive competitive compensation, benefits, and pre-IPO equity alongside all of this: - Company share options plan - We have a flexible hybrid working model - Work from home allowance - to get your home office set up! - Payment for sick leave from the first day - 2 Social Impact days per year for volunteering - Annual Headspace subscription and wellness benefits - Awesome employee referral program - $2,500 for each successful referral with an additional ambassador programme - 10bis or Cibus/Wolt - you get to pick! - Transportation allowance - Dog-friendly - Temporary remote work from anywhere in the world for up to 2 months (after 6 months of employment) - Fun company and team social events (locally and virtually with our global teams) - Bob Balance Days - 4 additional days within a calendar year - Enjoy a company-wide long weekend at the beginning of each quarter If this sounds like something you've been looking for, we'd love to have you. Come on, join our village!

Role Description Você busca uma oportunidade 100% remota, com times distribuídos e uma cultura de colaboração, valorizando a confiança, autonomia e responsabilidade? Buscamos um(a) Engenheiro(a) de Dados Sênior para atuar em uma arquitetura moderna de dados na OCI (Oracle Cloud Infrastructure), com ingestão near–real time e processamento distribuído em PySpark. O papel envolve construir e evoluir pipelines robustos, garantir qualidade das camadas do modelo medalhão (Bronze → Platinum) e disponibilizar dados para consumo via MySQL HeatWave e Metabase. - Desenvolver e otimizar pipelines em PySpark (Bronze/Silver/Gold/Platinum). - Ingestão via EventHub, flat files e MongoDB (API). - Operar arquitetura Lakehouse em OCI (buckets, HeatWave, external tables). - Criar e manter DAGs no Airflow. - Automatizar processos com GitHub + GitHub Actions. - Implementar integrações e exports com Python + Metabase API. - Garantir padrões de qualidade, observabilidade e performance. Qualifications - Domínio avançado em PySpark, Python e SQL. - Domínio avançado em Modelagem de dados. - Domínio de Data Lake / Delta Lake. - Experiência com arquitetura medalhão e pipelines near–real time. - Experiência com Airflow e Git/GitHub Actions. - Experiência em infraestrutura em cloud (AWS, GCP, Azure, OCI...). - Integrações com APIs e MongoDB. Requirements - Conhecimento na Cloud OCI (Dataflow, buckets, HeatWave, external tables). - DataOps. - Governança de dados. - Observabilidade.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. Senior Data Engineer Hiring Location: Singapore What you'll do Part 1. Data Modeling - Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs. - Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases. - Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models. - Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines. - Maintain data consistency, traceability, and quality across multiple data sources and domains. Part 2. ETL and Data Pipeline Management - Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow - from data ingestion to transformation and delivery. - Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions. - Bonus if you've worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency. Part 3. Data Governance - Participate in and contribute to data governance strategies, policies, and standards. - Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle). Part 4. Data + AI - We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways. These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them - especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field. - Minimum 5 years of proven experience designing and implementing ETL pipelines, with a strong understanding of the strategies, rules, and processes involved in building scalable and reliable data pipelines. - Experience with streaming data pipelines or real-time data processing technologies, such as Apache Kafka or Apache Flink. - Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions. - Familiarity with Google Cloud Platform (GCP) and modern data infrastructure tools, including Databricks and Airflow. - Knowledge of data governance practices and regulatory requirements within the financial industry. - Excellent problem-solving skills with strong attention to detail and a commitment to producing high-quality work. - Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment. - Outstanding verbal communication skills, with the ability to collaborate effectively with globally distributed teams. Preferred qualifications: - Experience with financial industries, payment systems, or fintech platforms. - Knowledge of data governance practices and regulatory requirements in the financial industry. - Experience with scripting languages (e.g., Python, R) for data analysis and automation. - Certification in data management or related technologies At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you'll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Meet the Team Cisco ThousandEyes is a Digital Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios. Your Impact As a Site Reliability Engineering (SRE) Technical Leader on the Network Assurance Data Platform (NADP) team, you will play a key role in ensuring the reliability, scalability, and security of our cloud and big data platforms. You will represent the NADP SRE team, working in a dynamic environment, tackling challenges with creativity, providing technical leadership in defining and delivering on the team's technical roadmap. You will collaborate with cross-functional teams, including software development, product management, customers and security teams, to design, influence, build, and maintain SaaS systems operating at multi-region scale. Your work will directly impact the success of our machine learning (ML) and AI initiatives by ensuring the underlying platform infrastructure is robust, efficient, and aligned with operational excellence. Responsibilities: - Design, build, and optimize cloud and data infrastructure to ensure the high availability, reliability, and scalability of big-data and ML/AI systems to meet customer needs, while implementing SRE principles such as monitoring, alerting, error budgets, and fault analysis. - Collaborate closely with cross-functional teams, including customers, development, product management, and security teams, to create secure, scalable solutions that support ML/AI workloads and enhance operational efficiency through automation. - Troubleshoot complex technical problems in production environments, perform root cause analyses, and contribute to continuous improvement efforts through postmortem reviews and proactive performance optimization. - Lead the architectural vision and shape the team's technical strategy and roadmap, balancing immediate needs with long-term goals, driving innovation, and influencing the technical direction. - Serve as a mentor and technical leader, guiding teams and fostering a culture of engineering and operational excellence by sharing your deep knowledge and experience. - Engage with customers and stakeholders to understand use cases and feedback, translating them into actionable insights and effectively influencing stakeholders at all levels. - Utilize your strong programming skills to integrate software and systems engineering, building core data platform capabilities and automation to meet enterprise customer needs and roadmap objectives. - Develop strategic roadmaps, processes, plans, and infrastructure to efficiently deploy new software components at an enterprise scale while enforcing engineering best practices. Minimum Qualifications - Ability to design and implement scalable and well tested solutions, with focus on operational efficiency. - Strong hands-on cloud experience, preferably AWS. - Infrastructure as a Code expertise, especially Terraform and Kubernetes/EKS. - Hands-on expertise scaling and orchestrating production AI/ML infrastructure using the Hadoop ecosystem (Spark, Hive, HDFS, Gobblin), Airflow , and AWS big data services like EMR and SageMaker . - Ability to write high quality code in Python, Go, or equivalent programming languages. Preferred Qualifications - Solid understanding of Unix/Linux systems, the kernel, system libraries, file systems, and client-server protocols. - Have experience with architecting software and infrastructure at scale with a sense of ownership and accountability. - Experience with observability tools including Prometheus (Alertmanager), Grafana, Thanos, CloudWatch, OpenTelemetry, and the ELK stack. - Certifications: CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), AWS Certified DevOps Engineer, or equivalent certifications in cloud and security domains. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.