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  3. Senior Data Engineer (Micro...

Senior Data Engineer (Microsoft Fabric & Azure Data Platform)

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Ascent logo

Senior Data Engineer (Microsoft Fabric & Azure Data Platform)

Ascent

Location

Ref: 26501, UK; Malta, Bulgaria, Portugal, United Kingdom

Experience

Senior

Posted

Jul 18, 2026

Apply by

August 17, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

Please note: for this role, you must be based in UK, Malta, Bulgaria, or Portugal. The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in. ## About Us Ascent has recently been acquired by [Acuity Analytics](https://www.acuityanalytics.com/). 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 deliver 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're looking for a Senior Data Engineer to design, build and optimise modern data platforms using the Microsoft Azure ecosystem. You'll develop scalable data pipelines, transform complex datasets, and help organisations unlock the value of their data through Microsoft Fabric, Databricks and Azure services. Working within a collaborative engineering team, you'll contribute to cloud-native data solutions, ensuring performance, scalability and best practices across enterprise data platforms. ## Responsibilities - Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse. - Develop ETL/ELT solutions using PySpark and SQL. - Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric. - Design scalable lakehouse and data warehouse solutions. - Optimise 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. ## Requirements - Strong commercial experience as a Data Engineer (5+ years). - 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 (ADF), Synapse Pipelines or Microsoft Fabric Data Factory. - Experience working with cloud-based data platforms. - Excellent problem-solving and communication skills. ## Nice to Have - Power BI - Graph Database experience - Node.js - REST API development - LLM / Generative AI experience - Data Science experience ## Certifications (Preferred) The following certifications are advantageous but not essential: - Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) - Microsoft Certified: Fabric Data Engineer Associate (DP-700) 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](https://www.acuityanalytics.com/working-here/ "https://www.acuityanalytics.com/working-here/") for more details If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. For more details about Acuity Analytics please see here: [Read here](https://www.acuityanalytics.com).

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks, and Azure Synapse.
  • Develop ETL/ELT 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.

Skills Required

PySparkSQLMicrosoft FabricAzure DatabricksAzure Synapse AnalyticsAzure Data FactorySynapse PipelinesMicrosoft Fabric Data FactoryCloud-based data platformsProblem-solvingCommunicationPower BIGraph DatabaseNode.jsREST API developmentLLMGenerative AIData Science

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

Ref: 26501, UK; Malta, Bulgaria, Portugal, United Kingdom

Application Deadline

August 17, 2026

Total Applicants

0

About Ascent

Ascent logo

Ascent is a leading company in the Technology sector, known for innovation and employee-centric culture.

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