Senior Data Engineer

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BlueCloud

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

🤖 Artificial Intelligence

Artificial Intelligence • Data Analytics • Cloud

BlueCloud is a global tech company that specializes in transforming businesses through data, analytics, and generative AI. Their services include data engineering, analytics, software design, DevOps, and data governance, leveraging revolutionary AI technology to enhance decision-making and efficiency. As a recognized Data Cloud Services Growth Partner, BlueCloud provides end-to-end cloud solutions that empower organizations to maximize their data potential and support digital transformation through scalable and high-performing global teams.

📋 Description

• This is a senior-level role focused on the design, development, and ownership of data solutions built primarily on Snowflake Data Cloud. • You will lead the architecture and implementation of scalable data pipelines, establish robust data models, and enforce data governance and security standards across the platform. • Design, build, and own scalable data pipelines and ingestion processes using SQL, Python, dbt, and cloud-native tools. • Architect and implement ELT/ETL patterns across batch, incremental, and CDC pipelines. • Lead the development of data models using Dimensional Modeling, Data Vault, or Lakehouse approaches. • Own the design and optimization of Snowflake environments, including warehouse sizing, cost governance, storage standards, schema management, and performance tuning. • Work with cloud platforms (AWS, Azure, or GCP) to integrate with Snowflake and deliver high-performance, cost-efficient solutions. • Lead pipeline orchestration using Airflow, dbt Cloud, or similar tools. • Establish and enforce data governance frameworks, access controls, and security protocols with particular focus on Snowflake-native capabilities such as row-level security, dynamic data masking, and data sharing. • Define and maintain data quality standards, lineage documentation, and compliance requirements.

🎯 Requirements

• 5+ years of hands-on experience in data engineering, with a strong professional track record in place of formal credentials. • Proven, deep expertise with Snowflake- including performance optimisation, cost management, security features, and data architecture. • Solid working knowledge of SQL and at least one scripting language, preferably Python. • Experience designing and building ELT/ETL pipelines across batch, incremental, and CDC patterns. • Familiarity with data modeling approaches such as Dimensional Modeling, Data Vault, or Lakehouse. • Experience with at least one cloud platform (AWS, Azure, or GCP) in a data engineering context. • Nice to Have: Hands-on experience with dbt, Airflow, or dbt Cloud. • Exposure to data governance frameworks and security best practices within cloud environments. • Experience working in a consultancy or multi-client environment.