Vagas remotas de SQL para candidatos em Reino Unido.

Take ownership of end-to-end data engineering projects.

• Senior
• AWS
• Docker
• Python
• +2

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.

• Senior
• Azure
• SQL

Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.

• Senior
• AWS
• Azure
• GCP
• +2

Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.

• Middle
• Python
• SQL

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.

• Senior
• AWS
• Azure
• GCP
• +3

Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.

• Senior
• Python
• Snowflake
• SQL

Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.

• Lead
• Azure
• SQL

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources

• Senior
• Java
• Python
• Snowflake
• +2

Collaborate with cross-functional teams to identify, collect, and validate data sources and analytics requirements

• Senior
• CI/CD
• GCP
• SQL

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

• Middle
• AWS
• Azure
• GCP
• +2

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.

• Lead
• AWS
• Azure
• Java
• +5

Work across the entire Linux stack, from kernel, networking, storage, to applications,

• AWS
• Azure
• GCP
• +4