Senior Data Engineer

CI&T National Capital Region, Philippines

CI&T National Capital Region, Philippines

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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.

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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

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