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Acuity Analytics

Data, AI, and cloud consulting

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeUnited KingdomNo salary listed

About the Job

Requirements

  • Strong commercial experience as a Data Engineer with 5+ years of experience.
  • Strong experience with PySpark.
  • Advanced SQL skills.
  • Experience with Microsoft Fabric, Azure Databricks, and/or Azure Synapse Analytics.
  • Experience building data pipelines using Azure Data Factory, Synapse Pipelines, or Microsoft Fabric Data Factory.
  • Experience working with cloud-based data platforms.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks, and Azure Synapse.
  • Develop extract, transform, and load or extract, load, and transform solutions using PySpark and SQL.
  • Build and optimize data integration solutions using Azure Data Factory and Microsoft Fabric.
  • Design scalable lakehouse and data warehouse solutions.
  • Optimize data performance, reliability, and quality across cloud platforms.
  • Collaborate with data scientists, analysts, and software engineers to deliver business solutions.
  • Implement data governance, security, and best practices.
  • Participate in code reviews and contribute to engineering standards.
  • Troubleshoot production issues and continuously improve platform performance.

Desired Qualifications

  • Power BI.
  • Graph database experience.
  • Node.js.
  • REST API development.
  • Large language model or generative artificial intelligence experience.
  • Data science experience.
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) certification.
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700) certification.

About the Company

Acuity Analytics

Data, AI, and cloud consulting

Acuity Analytics is a data and digital engineering consultancy. It helps organizations design and implement data platforms, analytics, artificial intelligence, cloud, software, and digital experience solutions. Its clients include enterprises and public organizations modernizing how they collect, manage, analyze, and use information. The consultancy delivers through multidisciplinary project teams that combine strategy, architecture, engineering, design, implementation, and managed support. Work spans data engineering, analytics, AI, cloud, software development, product design, consulting, and delivery management.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Sofia, Bulgaria
Founded
2012

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