[Job - 26613] Junior Data Developer

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 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. The Junior Data Engineer will be the primary technical resource supporting the data, analytics, and AI roadmap for 2026 and beyond. The role spans data engineering, analytics engineering, and machine learning deployment, ensuring reliable pipelines, curated data models, and smooth operationalization of ML/AI solutions. Key Responsibilities Maintain & Operate Data Pipelines - Monitor, maintain, and troubleshoot pipelines running in BigQuery, Google Cloud Storage (GCS), and other cloud systems. - Ensure accuracy, reliability, and timeliness of data for reporting and analytics. - Investigate issues quickly and escalate where needed. Build & Optimize Data Pipelines - Develop new ingestion and transformation pipelines to support reporting, analysis, forecasting, and AI workloads. - Optimize storage, compute, and transformation logic to manage and reduce cloud costs. - Improve testing, observability, and documentation across pipelines. Support Data Modeling & Analytics Engineering - Assist in building curated models in Dataform to power reporting and dashboards. - Implement tests, data quality checks, and pipeline automation. - Collaborate with business teams to translate requirements into scalable data models. - Ensure underlying datasets are accurate and up to date. Machine Learning & AI Deployment - Partner with Data Science to deploy forecasting, pricing, and AI models to production. - Build and maintain feature pipelines for ML models. - Support scheduling, monitoring, and alerting for deployed models. Strategic Project Contributions - Revenue Management & Pricing: Build/maintain pricing pipelines and support automation for pricing optimization and approvals. - Forecasting (Wholesale & M2M Deployment): Build feature pipelines and assist in deploying/monitoring forecasting solutions for supply chain and planning. - AI & Agent Solutions: Support development/deployment of AI models and agent-based workflows; integrate outputs into business systems and dashboards. - Operations & Procurement: Develop/maintain datasets and pipelines supporting procurement, operations, supplier performance, and stock management visibility; improve data visibility and quality. Training, Learning & Global Collaboration - UK Team Enablement: Contribute to training on BigQuery and engineering toolsets; document processes, datasets, and pipelines for scalability. - Global Alignment: Collaborate with global teams on data definitions, modeling methods, and shared datasets; follow global standards to ensure scalability across markets. Must-Have Skills Technical Skills Basic SQL knowledge and understanding of data transformation concepts Familiarity with Google BigQuery and cloud data platforms Basic programming skills (Python preferred) Understanding of data pipeline concepts (ETL/ELT) Familiarity with workflow orchestration tools like Airflow Understanding of data integration platforms (Airbyte preferred) Familiarity with PowerBI Awareness of data quality practices: testing, validation, and monitoring Basic knowledge of version control (Git) Nice-to-Have Skills Cost optimization in cloud environments (compute/storage tuning). Experience with CI/CD for data pipelines. Familiarity with GCP services beyond BigQuery/GCS (e.g., Pub/Sub, Cloud Functions, Cloud Composer). Experience integrating AI outputs into dashboards and business systems. Basic understanding of pricing optimization and forecasting workflows.