{"id":3964107,"url":"https://alion.io/job/network-recruitment-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4496313,"name":"Network Recruitment","domain":"networkrecruitmentinternational.com","url":"https://alion.io/company/network-recruitment","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Svelte","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"Docker","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Pandas","optional":true},{"name":"Platform Engineering","optional":true},{"name":"PostgreSQL","optional":true},{"name":"TimescaleDB","optional":true}],"status":"live","first_seen_at":"2026-11-09T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-09T00:00:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"SUMMARY:\n\n We are seeking a highly skilled Senior Data Engineer to join a dynamic engineering team where data engineering, software development, and platform architecture intersect. This role is ideal for an experienced engineer who enjoys building scalable systems, designing reusable frameworks, and contributing to the evolution of modern data platforms.\nThe successful candidate will play a key role in shaping data architecture, developing production-grade integrations, building internal tooling, and enhancing engineering standards across the organization.\n\n POSITION INFO:\n\n Key Responsibilities Data Engineering & Platform Development Design, develop, and maintain robust production data integrations. Build reusable integration frameworks, libraries, and shared engineering components. Improve data processing pipelines, validation processes, reliability, and overall platform performance. Contribute to the ongoing development and modernization of the data platform architecture. Ensure high standards for data quality, maintainability, and scalability. Software Architecture & Application Development Design and implement scalable, maintainable software solutions. Translate architectural requirements into practical technical implementations. Develop backend services and internal applications using modern technologies. Build and enhance shared application frameworks and developer tooling. Drive initiatives to reduce technical debt and improve system architecture. Evaluate and implement engineering best practices to support long-term platform growth. Production Engineering & System Reliability Investigate and resolve complex production issues and technical challenges. Enhance monitoring, observability, error handling, and recovery processes. Develop sustainable solutions that improve platform reliability and operational efficiency. Support mission-critical systems and ensure business continuity. Technical Leadership & Collaboration Partner with architects, engineers, and cross-functional teams to deliver high-quality solutions. Participate in technical design discussions and strategic engineering decisions. Conduct code reviews and promote software engineering best practices. Mentor junior engineers and contribute to technical knowledge-sharing initiatives. Support the continuous improvement of development processes, standards, and tooling. Required Skills & Experience Software Engineering Strong commercial experience building and supporting production software applications. Advanced Python development skills. Experience developing applications and services using Go (Golang) . Experience building modern web applications using React or Svelte . Strong understanding of software architecture, design patterns, and modular application development. Experience designing and developing APIs, backend services, and reusable software components. Data Engineering Strong SQL and database development experience. Experience developing and maintaining data integrations and data-intensive applications. Understanding of data quality, validation, integrity, and reliability principles. Experience working with large datasets and complex data processing workflows. DevOps & Engineering Practices Strong experience with: Git Code Reviews Automated Testing CI\\/CD Pipelines Monitoring and Observability Tools Experience troubleshooting and supporting complex production environments. Ability to assess technical trade-offs and independently deliver complex engineering solutions. Preferred Experience Experience with any of the following technologies would be advantageous: Data & Integration Technologies Apache Airflow Pandas Data Quality Frameworks Data Contracts Industrial Data Integrations Cloud & Infrastructure AWS S3 Lambda Step Functions Docker Kubernetes Cloud and Hybrid Infrastructure Environments Databases PostgreSQL TimescaleDB Platform Engineering Internal Developer Platforms Application Framework Development Developer Tooling Integration Frameworks Key Competencies Strong analytical thinking and problem-solving abilities. Excellent software design and architectural judgment. Ability to take ownership of complex technical initiatives. Strong collaboration and stakeholder engagement skills. Clear written and verbal communication skills. Passion for mentorship and developing engineering talent. Adaptability and a practical approach to solving technical challenges. Commitment to engineering excellence and continuous improvement. Apply now! For more IT jobs, please visit \\/> I also specialise in recruiting in the following: Software Development Data Engineer Data Analyst Infrastructure Architecture ... and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \\/ positions. 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