Hybrid Senior Data Engineer – Cloud Pipelines AI Ready Data

Clearwater People Solutions; Guildford; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Clearwater People Solutions is seeking a Senior Data Engineer to design, develop, and maintain both legacy and modern cloud-based data platforms and pipelines. The role enables efficient data collection, processing, and analysis and is hybrid, with 2-3 days onsite in Guildford.

You will build robust ETL/ELT pipelines, contribute to data architectures, and monitor performance using Azure Data Factory, Synapse, Spark, Python, SQL, and related tools, supporting analytics and AI initiatives.

Qualifications

• Experience designing scalable ETL/ELT pipelines across on-premise and cloud platforms.
• Proven ability to build robust data architectures and warehouses.
• Strong focus on security, compliance, and reliable data delivery.

Responsibilities

• Design, implement, and maintain ETL/ELT pipelines ingesting diverse data sources.
• Contribute to data architectures, warehouses, and data lake solutions.
• Monitor performance, troubleshoot issues, and optimize pipelines.
• Utilise Azure Data Factory, Synapse, Fabric, Spark, Python to enable analytics and AI initiatives.
• Maintain legacy data pipelines until replacement by modern platforms.

Skills

ETL/ELT pipelines

Cloud data platforms

Azure Data Factory

Synapse

Fabric Data Factory

Spark

Python

SQL

T-SQL/PLSQL

SSIS

Oracle

SQL Server

SAP Data Services

Git

DevOps

Tools

Oracle DBMS/SQL Server

Python

SQL

T-SQL/PLSQL

SSIS

SAP Data Services

Azure Data Factory

Fabric Data Factory

Synapse

Fabric

Spark

Notebooks

Git

Job description

Clearwater People Solutions is seeking a Senior Data Engineer to design, develop, and maintain both legacy and modern cloud-based data platforms and pipelines. The role enables efficient data collection, processing, and analysis and is hybrid, with 2-3 days onsite in Guildford.

You will build robust ETL/ELT pipelines, contribute to data architectures, and monitor performance using Azure Data Factory, Synapse, Spark, Python, SQL, and related tools, supporting analytics and AI initiatives.