Cloud Data Engineer – Databricks & Azure (Hybrid Cardiff)

Tenth Revolution Group

Cardiff

Hybrid

GBP 54,000 - 66,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work
Cardiff offices
Databricks & Azure tech
Professional development
Collaborative culture
Career progression

Job summary

Tenth Revolution Group in Cardiff is seeking a Data Engineer to join its expanding Data team. You will design, build and maintain scalable data pipelines using Databricks and Azure, supporting reporting and analytics.

The role collaborates with stakeholders across technology and business, develops data models and ensures high-quality datasets while embracing modern cloud data platforms.

Qualifications

  • Commercial experience with Databricks in a data engineering role.
  • Strong SQL development and data manipulation skills.
  • Experience building cloud-based data pipelines in Azure.
  • Knowledge of Azure Data Factory / Data Lake or related services.
  • Experience with ETL and data integration.

Responsibilities

  • Design, build and maintain scalable data pipelines using Databricks and Azure.
  • Develop and optimise ETL processes for reporting and analytics.
  • Work with structured and unstructured data from multiple sources.
  • Support data models and data warehouse solutions.
  • Collaborate with analysts, engineers and stakeholders to deliver data-driven solutions.
  • Monitor and improve data pipeline performance and reliability.
  • Produce technical documentation and follow engineering best practices.

Skills

Databricks experience
SQL development
Azure data services
Python/PySpark
Problem solving

Tools

Azure Data Factory
Azure Data Lake

Job description

Tenth Revolution Group in Cardiff is seeking a Data Engineer to join its expanding Data team. You will design, build and maintain scalable data pipelines using Databricks and Azure, supporting reporting and analytics.

The role collaborates with stakeholders across technology and business, develops data models and ensures high-quality datasets while embracing modern cloud data platforms.

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