Senior Data Engineer

Guildford Source: WhatJobs

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Overview

As a Senior Data Engineer, you design, build, and maintain cloud-based data platforms and pipelines to enable efficient data collection, processing, and analytics. You will work across legacy and modern environments, ensuring scalable, reliable data flows and optimising performance and cost. You’ll contribute to data architectures, warehouses, and data lakes that support reporting, analytics, and AI initiatives, while staying aligned with security and reliability standards. This role offers the chance to influence data strategy in a hybrid, collaborative setting and to modernise critical data infrastructure.

Responsibilities

Design, implement, and maintain ETL/ELT pipelines ingesting data from diverse sources
Monitor overnight loads, resolve failures, and implement automated alerts for timely data availability
Contribute to design and optimisation of data architectures, warehouses, and data lakes for analytics and AI
Tune system, pipeline, and query performance to improve efficiency and scalability
Leverage modern data engineering tools and frameworks (e.g., Azure Data Factory, Synapse, Spark, Python) and evaluate new technologies
Maintain legacy data warehouses and pipelines until replaced by modern data platform tooling

Key requirements

Significant experience in data engineering across traditional and cloud platforms
Proven track record designing and maintaining scalable data architectures and pipelines
Experience delivering in complex data-driven environments emphasising security and reliability
Proficiency in Oracle DBMS/SQL Server, Python, SQL, T-SQL/PLSQL, SSIS, SAP Data Services
Experience with cloud platforms (Azure, AWS, Snowflake) and data tools (Azure Data Factory, Synapse, Spark, Notebooks)
Knowledge of source control (Git) and DevOps practices
Ability to design, maintain, and optimise scalable ETL/ELT pipelines
Strong analytical and problem-solving abilities
Ability to troubleshoot data issues and monitor performance