Hybrid Data Engineer - Cloud & Snowflake Pipelines

Great British Energy Group; Greater London; Hybrid; GBP 44,000 - 52,000; Full time

Benefits offered by this job

Flexible benefits fund (15%)

Competitive benefits package

Job summary

HS2 Ltd is hiring a Data Engineer to support the Information Management Function. You will design and run scalable data pipelines, leverage Snowflake and cloud-native tools, and partner with analytics teams to deliver high-quality data products.

Hybrid working in London or Birmingham, with a strong emphasis on data integration and governance. The role requires experience with data modeling, SQL, Python, and modern data tools, enabling reliable, scalable data solutions across enterprise data

Qualifications

• Experience designing and building scalable data services across cloud platforms.
• Experience with end-to-end data pipelines: extract, transform, load to cloud warehouses.
• Strong knowledge of data modeling and reusable data models.

Responsibilities

• Design, develop and maintain scalable data pipelines across cloud platforms.
• Build robust data models and data warehousing solutions (Snowflake, Synapse, BigQuery).
• Ensure data quality, governance and performance of data pipelines.
• Collaborate with analytics teams to deliver data products and insights.

Skills

Cloud Platforms

Snowflake

SQL

Python

Airflow

dbt

Databricks

Data Modeling

ETL

Data Integration

Tools

AWS

Azure

GCP

Snowflake

Azure Data Factory

Synapse Analytics

Databricks

Spark

SQL

BigQuery

Job description

HS2 Ltd is hiring a Data Engineer to support the Information Management Function. You will design and run scalable data pipelines, leverage Snowflake and cloud-native tools, and partner with analytics teams to deliver high-quality data products.

Hybrid working in London or Birmingham, with a strong emphasis on data integration and governance. The role requires experience with data modeling, SQL, Python, and modern data tools, enabling reliable, scalable data solutions across enterprise data