Senior Data Engineer (Databricks, Azure)

Posted 13 Days Ago
Be an Early Applicant
4 Locations
Remote
Senior level
Cloud • Software • Consulting
The Role
The role involves designing and managing data solutions using Databricks and Azure, automating processes, optimizing pipelines, and collaborating with teams to deliver effective data workflows.
Summary Generated by Built In

If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers!

About Us

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.

About the role 

We are looking for a skilled Data Engineer with strong experience in Databricks, Azure Cloud, and data orchestration to join our team. 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. 

Key Responsibilities 

  • 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. 
  • Govern and manage data assets using Unity Catalog and Data Lakehouse patterns. 
  • Implement messaging and event-driven workflows with Azure Service Bus. 
  • Collaborate with architects, analysts, and data scientists to deliver end-to-end solutions. 
  • Utilize Azure DevOps for CI/CD pipeline management. 

Skills Required 

Data Engineering & Orchestration 

  • Databricks Workflows, Unity Catalog, Delta Lake 
  • ETL/ELT design and implementation 
  • Data Lakehouse architecture 

Programming 

  • Strong Python skills for data engineering, automation, and integration 
  • Experience writing modular, production-ready code 
  • CI/CD pipelines for Databricks and Azure 

Databases 

  • Strong knowledge of SQL (including query optimization and data modeling) 
  • Exposure to NoSQL databases (e.g., Cosmos DB) 

Azure Cloud Services 

  • Azure Key Vault 
  • Azure Logic Apps 
  • Azure Service Bus 
  • API Management (APIM) 

Nice to Haves 

AI & Cognitive Services 

  • Experience with Microsoft Cognitive Services (OCR, Layout, Form Recognizer, etc.) 
  • Integration of cognitive services into data pipelines 

Architecture & Monitoring 

  • Familiarity with event-driven and microservices architecture patterns 
  • Experience with monitoring tools like Datadog, Application Insights, or similar 

Collaboration & Methodologies 

  • Agile team collaboration 
  • DevOps practices 

Why join us

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.

Top Skills

Api Management
Azure
Azure Devops
Azure Key Vault
Azure Logic Apps
Azure Service Bus
Cosmos Db
Databricks
Delta Lake
NoSQL
Python
SQL
Unity Catalog
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The Company
London
452 Employees
Year Founded: 2005

What We Do

Ascent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We design, build and manage cloud-native products, solutions, platforms and experiences on Azure. Our community of engineers, architects, data scientists, experience designers and consultants is here to help customers do something new, or do something better. Ascent is home to 450+ technology specialists across 5 key European locations (UK, Germany, Portugal, Malta and Bulgaria). Our talented, consultative teams deliver a range of solutions, from digital product and service design to mobile app development, API integrations, data engineering, AI and data science. Our modern app, data and infrastructure platforms help businesses leave legacy behind and enable rapid, efficient innovation

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