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Senior Data Engineer - Remote

Senior Data Engineer - Remote

RPO RecruitmentZA
30+ days ago
Job type
  • Remote
Job description

Job title : Senior Data Engineer - Remote

Job Location : Gauteng, Deadline : September 09, 2025 Quick Recommended Links

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Job Description

  • RPO's client is actively seeking a skilled Senior Data Engineer to join our client based in Gauteng remotely.
  • This is an exciting opportunity for a dedicated data professional to elevate their career by building and optimizing Microsoft-based data infrastructure powering real-time financial analytics, fraud detection, and business intelligence systems.
  • If you have extensive experience in data engineering within a Microsoft environment and a passion for fintech innovation, we want to hear from you!

    • Responsibilities :

  • Maintain an understanding of the latest SQL features and programming practices through continuous learning.
  • Back up files from local directories to share and VSTS.
  • Identify problems uncovered by customer feedback and testing and correct or refer them to appropriate personnel.
  • Evaluate code to ensure it meets industry standards, is valid, properly structured, and compatible with various Azure SQL versions.
  • Determine user needs by analysing technical requirements.
  • Manage data analysis and integration of disparate systems.
  • Ensure high quality and optimum performance of code delivered.
  • Follow internal standard guidelines.
  • Understand database operations and optimization for Microsoft SQL Server.
  • Develop reporting systems that provide accessible information for decision-making.
  • Conduct troubleshooting on code, tables, indexes, and SQL server instances.
  • Generate and deliver quality reports to customers and perform quality assurance checks on reports.
  • Collaborate with various teams; translate business requirements into scalable data solutions.
  • Participate in design reviews and provide input on requirements, product design, and potential problems.
  • Test and prove that the software meets major architectural requirements.
  • Prove for scalability and performance of a software.
  • Ensure the quality of the system as a whole.
  • Stay up to date with the latest Microsoft data technologies, Azure services, and data engineering best practices.
  • Troubleshoot and optimize Azure data pipelines, SQL Server performance, and resolve data quality issues.
  • Continuously improve data infrastructure to reduce latency, increase throughput, and optimize Azure costs using FinOps principles.
  • Evaluate and integrate new Microsoft data tools and Azure services to enhance data platform capabilities.
  • Mentor and guide junior data engineers on the team.
  • Participate in architecture reviews and ensure all data solutions adhere to high-quality standards and best practices.
  • Communicate with stakeholders to understand data requirements and provide technical solutions.
  • Work independently and deliver high-quality work within tight deadlines.

    • Requirements :

  • BSc / BEng in Computer Science, Data Science, or comparable experience.
  • 7+ years professional data engineering experience, 3+ years in a senior / lead capacity.
  • 7+ years T-SQL / SQL Server expertise, deep Azure Synapse Analytics skills, C# / .NET for data processing applications.
  • Strong Azure Data Factory, Azure Databricks, SQL Server Integration Services (SSIS), Azure Stream Analytics, Event Hubs.
  • Azure Synapse Analytics, Power Designer for data modelling, Azure DevOps for CI / CD.
  • Dimensional modelling with Power Designer, SQL Server Data Tools (SSDT), schema design for OLAP / OLTP, performance optimization.
  • Power BI integration, SSAS / SSRS experience, DAX / MDX knowledge, semantic layer design.
  • Azure DevOps pipelines, ARM templates / Bicep, Azure Monitor, Application Insights.
  • Unit testing for T-SQL and data pipelines, data quality frameworks, integration testing with Azure Data Factory.
  • Strong in basic DB concepts, joins, aggregate functions and commands (DDL, DML, TCL DCL) and help write and optimize in-application SQL statements.
  • Proficiency in advance SQL concepts like CTE, Recursive queries, Pivots, Self joins, Temporary functions, UDF, etc..
  • Deep understanding of relational database concepts with a solid knowledge of MS-SQL.
  • Proficiency with version control systems such as Git and Azure Repos.
  • Strong problem-solving and troubleshooting skills in Microsoft environments.
  • Experience with ETL tools.
  • Expertise in SQL Server performance tuning and optimization of large-scale data systems.
  • Good communication and leadership skills.

    • Advantageous Skills :

  • Azure Machine Learning and Azure Cognitive Services experience for ML pipelines.
  • Experience with Microsoft Fabric and its unified analytics platform.
  • Real-time analytics with Azure Stream Analytics and Complex Event Processing.
  • Azure Cost Management and FinOps experience optimizing data workloads.
  • Power Platform integration (Power Apps, Power Automate) for data workflows.
  • Experience with Cosmos DB for multi-model database scenarios.
  • Microsoft Certified : Azure Data Engineer Associate or Azure Solutions Architect certification.

    • Benefits :

  • The opportunity to work on cutting-edge fintech solutions that make a real impact.
  • A remote-first work environment that values work-life balance.
  • Regular team get-togethers to foster collaboration and innovation.
  • Continuous learning opportunities in the fast-paced world of fintech.
  • A culture that encourages creativity, hard work, and pushing technological boundaries.

    • Closing Date :  28 July 2025

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