ascent

Senior Data Engineer (Databricks, Azure)

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Key Requirements

Required Skills

AgileAzureCI/CDData EngineeringDatabricksDevOpsETLMicroservicesPythonSQL

Domain Knowledge

  • Automation
  • Engineering

Requirements

Data Engineering & Orchestration

Databricks Workflows, Unity Catalog, Delta Lake

ETL/ELT design and implementation

Data Lakehouse architecture

Strong Python skills for data engineering, automation, and integration

Experience writing modular, production-ready code

Compensation & Benefits

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out

this page

for more details.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

Responsibilities

You will be responsible for designing, building, and managing scalable data solutions in a cloud-native environment, with a focus on automation, performance, and collaboration.

Build and manage Databricks Workflows for large-scale data orchestration.

Develop and deploy PyFunc models and integrate them into production pipelines.

Implement secure secrets and configuration management using Azure Key Vault.

Automate data flows using Azure Logic Apps.

Design and optimize ETL / ELT pipelines in line with best practices.

About the Company

Ascent has recently been acquired by

Acuity Analytics

.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.