Direct message the job poster from Full Circle Partners
Are you passionate about building scalable data platforms and driving data-driven decision-making? Join a dynamic Digital & Technology Services team where your work will directly empower operational and corporate analytics, AI-driven insights, and data innovation.
About the Role
As a Data Engineer, you will be instrumental in developing and supporting a modern Data, Integration and Analytics (DIA) Platform that transforms how the organisation harnesses data for real-time analytics and predictive insights. You will collaborate closely with cross-functional teams, including business stakeholders, data scientists, product teams, and infrastructure experts to design and deliver scalable data pipelines and integrations that meet evolving business needs.
What You'll Do
* Develop, optimize, and automate data platforms and pipelines using cloud technologies such as AWS, with hands-on experience in Databricks, Fivetran and related tools.
* Design and maintain data pipelines across batch and streaming workloads, ensuring high data quality, lineage, and performance.
* Implement CI/CD workflows using Microsoft DevOps to streamline pipeline deployment across development, staging, and production environments.
* Build secure, resilient data integrations for APIs, event-driven, and batch ETL/ELT processes across ERP, IoT, and SaaS systems.
* Collaborate with data architects and stakeholders to extend enterprise data models and support analytics and reporting needs.
* Support AI/ML workflows by developing data pipelines that enable predictive analytics and data-driven insights.
* Engage with stakeholders regularly to understand business needs and translate them into scalable technical solutions.
What We're Looking For
* 3-6 years of experience in data engineering and analytics with proven skills in cloud platforms (AWS).
* Hands-on experience with Databricks, Fivetran, Delta Lake, Kafka, Apache Spark, and emerging MLOps practices.
* Familiarity with cloud storage solutions (S3, Blob Storage) and serverless compute (Lambda, Azure Functions).
* Experience in building automated, modular, and reusable data pipelines with Infrastructure as Code principles.
* Exposure to AI/ML pipeline development or enthusiasm to grow in this area.
* Strong analytical, problem-solving, and collaboration skills with an agile mindset.
* Formal qualifications in Computer Science, Engineering, or related fields are preferred. Cloud certifications are a plus.
Why Join Us?
* Work with cutting-edge cloud data technologies and contribute to a modern data platform that supports critical business outcomes.
* Thrive in a collaborative, agile environment that values continuous improvement and innovation.
* Access professional development opportunities to build your skills in cloud and AI/ML technologies.
* Be part of a diverse, inclusive culture that respects different perspectives and drives positive change.
If you're ready to play a pivotal role in shaping the future of data and analytics within a forward-thinking organisation, we want to hear from you
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology
* Industries
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