Senior Data Engineer

Hire Resolve; Johannesburg; On-site; ZAR 780,000 - 1,200,000; Full time

Job summary

A recruitment agency is seeking a talented Senior Data Engineer/Developer to enhance their data infrastructure for real-time analytics and fraud detection. The successful applicant will optimize Azure-based data pipelines, ensuring data quality and performance. This position requires 7+ years of experience, proficiency in T-SQL, and familiarity with various Azure services including Data Factory and Synapse Analytics. Strong problem-solving skills and leadership abilities are essential for mentoring junior staff. A competitive salary is offered based on expertise.

Qualifications

• 7+ years of professional data engineering experience, ideally in a senior/lead position.
• Deep understanding of Microsoft Data Stack including Azure services.
• Strong problem-solving skills and ability to mentor junior team members.

Responsibilities

• Build and optimize Microsoft-based data infrastructure.
• Design scalable data pipelines using Azure Data Platform.
• Ensure data quality and governance across systems.

Skills

T-SQL

Azure Data Factory

C#/.NET

SQL Server Integration Services (SSIS)

Power BI

Azure DevOps

Data Processing

Education

BSc/BEng in Computer Science or Data Science

Tools

Azure Synapse Analytics

Azure Databricks

Event Hubs

Git

Job description

Job Title: Senior Data Engineer/Developer

Location: Remote

Industry : IT

Salary: R 780 000 - R1200 000

Hire Resolve’s Client is seeking a talented and experienced Senior Data Engineer/Developer. The successful candidate will build and optimize the Microsoft-based data infrastructure powering real-time financial analytics, fraud detection, and business intelligence systems. You will also design scalable data pipelines using Azure Data Platform, implement cutting-edge solutions with Microsoft Fabric, and ensure data quality and governance across our fintech ecosystem - all with uncompromising security, performance, and reliability.

Responsibilities

• Maintaining an understanding of the latest SQL features and programming practices through education, study, and participation in conferences, workshops, and groups.
• Back up files from local directories to share and VSTS.
• Identifying problems uncovered by customer feedback and testing and correcting or referring problems to appropriate personnel for correction.
• Evaluating code to ensure it meets industry standards, is valid, is properly structured, and is compatible with various Azure SQL versions.
• Determining user needs by analysing technical requirements.
• Managing data analysis and integration of disparate systems.
• Ensuring high quality and optimum performance of code delivered.
• Following internal standard guidelines.
• Understanding database operations and optimization for Microsoft SQL Server.
• Developing reporting systems that provide accessible information for decision-making.
• Test and prove that the software meets major architectural requirements.
• Prove for scalability and performance of a software.
• Ensuring the quality of the system as a whole.
• Staying up to date with the latest Microsoft data technologies, Azure services, and data engineering best practices.
• Troubleshooting and optimizing Azure data pipelines, SQL Server performance, and resolving data quality issues.
• Continuously improving data infrastructure to reduce latency, increase throughput, and optimize Azure costs using FinOps principles.
• Evaluating and integrating new Microsoft data tools and Azure services to enhance our data platform capabilities.
• Mentoring and guiding junior data engineers on the team.
• Participating in architecture reviews and ensuring all data solutions adhere to high-quality standards and best practices.
• Communicating with stakeholders to understand data requirements and provide technical solutions.
• Working independently and delivering 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.
• Data Processing: 7+ years T-SQL/SQL Server expertise, deep Azure Synapse Analytics skills, C#/.NET for data processing applications.
• Microsoft Data Stack: Strong Azure Data Factory, Azure Databricks, SQL Server Integration Services (SSIS), Azure Stream Analytics, Event Hubs.
• Cloud & Infrastructure: Azure Synapse Analytics, Power Designer for data modelling, Azure DevOps for CI/CD.
• Data Modelling: Dimensional modelling with Power Designer, SQL Server Data Tools (SSDT), schema design for OLAP/OLTP, performance optimization.
• Business Intelligence: Power BI integration, SSAS/SSRS experience, DAX/MDX knowledge, semantic layer design.
• DevOps & Orchestration: Azure DevOps pipelines, ARM templates/Bicep, Azure Monitor, Application Insights.
• Testing: 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 advanced 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.

How To Apply :

Contact Hire Resolve today for your next career‑changing move

Our client is offering a highly competitive salary for this role based on experience.

Send your CV to: [e-mail] or connect with Sonique Beetge via LinkedIn.

Alternatively, you can also contact me directly at Hire Resolve [e-mail]

We will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable, we will put your CV on file and contact you regarding any future vacancies that arise.