Data Engineer - Remote, Snowflake & Databricks Expert

NPAworldwide; Cardiff; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Flexible working

Hybrid/remote working

Dev budget for conferences and courses

Career development

Social events

Pension

Job summary

NPAworldwide is seeking an experienced Data Engineer to join its engineering team in the UK. You will design, build and maintain robust data pipelines, ensuring data availability, accuracy, security, and performance across central government, defence, national security and critical infrastructure projects.

Working with customers and internal stakeholders through the full lifecycle, you will contribute to data engineering strategy, roadmaps and adopting emerging technologies, with flexible

Qualifications

• Proven Data Engineer with experience in complex or regulated environments.
• Solid knowledge of Snowflake and Databricks.
• Experience with cloud platforms AWS and Azure.
• Strong SQL and Python; familiarity with Airflow and Spark.

Responsibilities

• Interpret and validate data requirements across complex environments.
• Design and maintain scalable ETL/ELT pipelines.
• Develop data models and storage strategies in cloud environments.
• Implement data quality controls and governance.
• Collaborate with customers and stakeholders throughout projects.
• Evaluate new data technologies and roadmaps.
• Present findings and recommendations to clients.
• Ensure data security and compliance.

Skills

Data modelling

Data integration

Data quality & governance

SQL

Python

Stakeholder management

Analytical thinking

Communication

Tools

Snowflake

Databricks

Apache Airflow

Spark

AWS

Azure

BigQuery

Job description

NPAworldwide is seeking an experienced Data Engineer to join its engineering team in the UK. You will design, build and maintain robust data pipelines, ensuring data availability, accuracy, security, and performance across central government, defence, national security and critical infrastructure projects.

Working with customers and internal stakeholders through the full lifecycle, you will contribute to data engineering strategy, roadmaps and adopting emerging technologies, with flexible