Data Engineer Azure Global Data Analytics SaaS Solutions Fabric West London/Remote & Office Hybrid

Sure IT; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and comprehensive –

Flexible hybrid working model

Open, collaborative work environment

Job summary

Sure IT is seeking a skilled Azure Data Engineer to build next‑gen SaaS data platforms. You’ll ingest, model, provision, and store data at scale in Azure, designing robust ADF and Synapse pipelines and developing data products for internal and external customers.

Collaborate with Architecture, Delivery, Product, and Software Engineering teams in an Agile, DevOps‑driven environment. You’ll work in a flexible hybrid model balancing office and remote work, contributing to a modern, open, and

Qualifications

• Experience designing and developing complex ETL/ELT pipelines in the cloud using Azure Data Factory and Azure Synapse.
• Strong PySpark notebooks for data ingestion, processing, and provisioning.
• Deep understanding of data warehousing concepts across the full ETL lifecycle.
• Proficiency with relational databases and SQL querying; able to develop stored procedures.
• Familiarity with DevOps, CI/CD, and Agile delivery.

Responsibilities

• Ingest, warehouse, and store data at scale within the Azure cloud platform.
• Design, build, and optimize ADF and Synapse pipelines.
• Build high-value Data Products from underlying assets to meet commercial requirements.
• Own end-to-end releases from development through to production using CI/CD methodologies.
• Migrate Legacy databases and storage solutions into modern Azure data lakes and data warehouses.
• Collaborate with Architecture, Delivery, Product, and Software Engineering teams to release regular platform increments.
• Hands-on experience designing and developing complex ETL/ELT pipelines in the cloud using Azure Data Factory (ADF) and Azure Synapse.
• Strong background in PySpark Notebooks for data ingestion, processing, and provisioning.
• Deep understanding of data warehousing concepts (Data Lake, Lakehouse, Traditional DBs) across the full ETL lifecycle.
• Hands-on proficiency with relational databases (SQL Server, MySQL), SQL querying, and developing Stored Procedures.
• Understanding of DevOps, CI/CD deployment processes, and Agile delivery frameworks.
• Experience preparing technical data mappings from high-level requirements down to solution-level detail.

Skills

Azure Data Factory

Azure Synapse

PySpark

SQL

ETL/ELT

DevOps

CI/CD

Agile delivery

Data Warehousing concepts

Cloud data engineering

Tools

SQL Server

MySQL

CosmosDB

MongoDB

Job description

Are you a skilled Data Engineer looking to build out next‑generation SaaS products and enterprise data platforms? We are seeking a talented Azure Data Engineer to join a dynamic, agile product delivery team. In this role, you will leverage your data analysis, ETL, and cloud technology expertise to discover, model, provision, and store data at scale in the cloud. You will work closely with cross-functional teams to convert raw data assets into commercial data products provisioned for internal and external customers.,

• Data Ingestion & Storage: Ingest, warehouse, and store data at scale within the Azure cloud platform.
• Pipeline Design: Design, build, and optimize complex ADF and Azure Synapse pipelines following best practices and design principles.
• Product Provisioning: Build high-value Data Products from underlying Data Assets to meet commercial requirements.
• DevOps Ownership: Own end-to-end releases from development through to production using CI/CD methodologies.
• Data Migration: Migrate Legacy databases and storage solutions into modern Azure cloud-based lakes and data warehouses.
• Cross-Functional Collaboration: Partner with Architecture, Delivery, Product, and Software Engineering teams to release regular platform increments.
• Hands-on experience designing and developing complex ETL/ELT pipelines in the cloud using Azure Data Factory (ADF) and Azure Synapse.
• Strong background in PySpark Notebooks for data ingestion, processing, and provisioning.
• Deep understanding of data warehousing concepts (Data Lake, Lakehouse, Traditional DBs) across the full ETL lifecycle.
• Hands-on proficiency with relational databases (SQL Server, MySQL), SQL querying, and developing Stored Procedures.
• Understanding of DevOps, CI/CD deployment processes, and Agile delivery frameworks.
• Experience preparing technical data mappings from high-level requirements down to solution-level detail.

Desirable Skills:

• Hands-on experience with Microsoft Fabric, Power Automate, or Power BI.
• Exposure to non-relational databases (CosmosDB, MongoDB) and handling unstructured data.
• Background in automotive, data provider, or global market intelligence industries.

• Competitive salary and comprehensive benefits package.
• Flexible hybrid working model balancing office and remote working.
• Open, collaborative, and creative work environment with focus on continuous development.