Senior Data Engineer

CI&T National Capital Region, Philippines CI&T National Capital Region, Philippines 4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This range is provided by CI&T. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.With over 7,400 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are seeking a Senior Data Engineer with extensive hands-on experience in Data Architecture and Engineering to serve as a technical contributor within our team. This role focuses on working primarily with Australian clients and the broader APAC region. As a Senior Data Engineer, you will be responsible for designing, building, and deploying cutting-edge data solutions while contributing to establishing our data practice in Australia. Key Accountabilities ● Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure services to support ingestion, transformation, and curation of ● Collaborate with architects, analysts, data modellers, and business stakeholders to deliver ● Participate in solution design and technical discussions to ensure robust, scalable, and ● Implement performance-optimised and secure data workflows, ensuring compliance with relevant governance and quality standards. ● Create and maintain clear, accurate, and up-to-date technical documentation for developed data assets, pipelines, and processes. ● Engage effectively with technical and non-technical team members to ensure shared understanding of requirements, solution approaches, and delivery expectations. ● Translate business and analytical requirements into actionable technical solutions by leveraging appropriate Microsoft Fabric components and Azure services. ● Ensure a stable and productive development environment, following CI/CD best practices, monitoring pipeline performance, and addressing issues promptly. Knowledge and Experience ● Proven experience of more than 6+ in data engineering, data warehousing, and analytics projects, covering data ingestion, transformation, curation, and delivery. ● Strong knowledge of modern data file formats such as Delta Tables, Apache Iceberg, and Parquet. ● Proficiency in Python, Spark, Azure Data Factory, and other relevant data transformation tools and frameworks. ● Expertise in data modelling across conceptual, logical, and physical layers, with knowledge of Dimensional Modelling and Data Vault 2.0 methodologies. ● Experience with cloud data services, preferably within the Microsoft Intelligent Data Platform ecosystem, with exposure to AWS or GCP data services as an advantage. ● Hands-on experience with cloud data platforms such as Microsoft Fabric, Databricks, and/or Snowflake. ● Skilled in data pipeline orchestration using Azure Data Factory and related orchestration frameworks. ● Experience with CI/CD pipelines and familiarity with DevOps practices to enable automated deployment and integration workflows. ● Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Bicep for environment provisioning and configuration. ● Solid understanding of data governance, data management practices, and security considerations for cloud data platforms. ● Competence in database performance tuning, optimisation, and advanced SQL development. ● Familiarity with design patterns, clean architecture, and clean coding principles for maintainable and scalable data solutions. ● Knowledge of unit, integration, and end-to-end testing in the context of data engineering. Personal Attributes ● Mentorship: Ability to mentor and share knowledge with junior team members, fostering their growth and development. ● Consulting Mindset: Demonstrate adaptability in diverse situations, effectively managing changing priorities while maintaining a positive attitude and thriving in ambiguous ● Communication: Strong communication skills, capable of communicating clearly and efficiently with team members and clients and presenting ideas effectively according to the audience and context. ● Non-functional Requirements: In-depth understanding of non-functional requirements, including performance, security, data privacy, and protection. ● Passion for Data: A genuine passion for working with data, evident in your enthusiasm for coding, experimenting, and problem-solving. ● Innovative Spirit: Excited by the challenge of deploying pipelines and dashboards, with a drive to continuously improve and innovate. ● AI Enthusiast: Keen interest in AI technologies, such as Generative AI, for self-augmentation and performance improvement. About us: We’re global digital specialists, here to Collaborate, Innovate and Transform business into the future. We bring a 29-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at CI&T by 2x Sign in to set job alerts for “Senior Data Engineer” roles. 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