Hybrid Data Engineering Analyst: Build Reliable Data Pipelines

The Hyde Group; City Of London; Híbrido; GBP 50.000 - 52.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible and hybrid working

Generous holiday allowance

Pension scheme

Healthcare and wellbeing support

iFlex scheme

Descripción de la vacante

The Hyde Group is seeking a Data Engineering Analyst to join the Data Engineering & Information Systems Architecture team within Digital and Information in London. You will help build and maintain data pipelines, bring data sources into Snowflake and ensure data is accurate, secure and available for reporting and analysis.

You’ll collaborate with Senior and Lead Data Engineers and business colleagues to deliver reliable data solutions.

Formación

• Experience developing or supporting data pipelines, integrations or data warehouse processes in cloud environments.
• Proficient in writing, testing and debugging SQL and Python code.
• Understanding of data modelling, ETL/ELT and data quality concepts; familiarity with Snowflake or AWS benefits.
• Ability to investigate issues methodically and communicate clearly with colleagues.

Responsabilidades

• Build, maintain and improve data pipelines and integrations using approved tools and practices.
• Transform, cleanse and validate data to meet quality requirements for reporting and analysis.
• Monitor scheduled processes, investigate failures and escalate as needed.
• Test changes, maintain version-controlled code and document data flows for support.
• Collaborate with colleagues to gather requirements and identify automation opportunities.
• Apply data governance and UK GDPR requirements to daily work.

Conocimientos

SQL

Python

Data pipelines

Data integration

Data quality

Herramientas

Snowflake

AWS

Descripción del empleo

The Hyde Group is seeking a Data Engineering Analyst to join the Data Engineering & Information Systems Architecture team within Digital and Information in London. You will help build and maintain data pipelines, bring data sources into Snowflake and ensure data is accurate, secure and available for reporting and analysis.

You’ll collaborate with Senior and Lead Data Engineers and business colleagues to deliver reliable data solutions.