Data EngineerData Analytics Platform (Contract) GautengHybrid ISB8500596
Share
Job Location:
Midrand - South Africa
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Our client is looking for a Senior Data Engineer to join the Data Analytics Platform team.
This platform is a critical driver for global integration providing process-overarching analytical capabilities and high-quality ad-hoc data assets that generate significant business value across multiple domains.
If you are a cloud-data expert who thrives on building self-service data architectures and delivering high-speed data solutions this is your next mission.
6-8 Years related experience
Expertise in Designing Cloud-Based Data Solutions
Focus on Data Availability & Self-Service Provisioning
Position Details:
- Contract Start Date:
- Contract End Date:
- Location: Midrand/Menlyn/Rosslyn/Home Office Rotation
The Mission: You will be a key technical contributor in the horizontal usage of data across the enterprise.
Your role involves designing and implementing scalable cloud data solutions that ensure high implementation speeds through readily available high-quality data assets.
You will drive the Self-Service data model allowing business units to access and analyze data efficiently while maintaining rigorous global standards.
Qualifications & Experience:
- Relevant IT Mathematics Engineering and Business degree or equivalent practical work experience.
- Bachelor s or Master s degree in Computer Science Data Engineering Information Systems or related fields preferred.
- Minimum 5 years of hands-on data engineering experience with senior-level responsibilities in complex data environments.
- Experience designing and implementing cloud-based data solutions.
- Cloud certifications (e.g. Azure AZ-900 AWS Certified Solutions Architect) are advantageous but not required.
Essential Skills (Verified):
- Proven experience designing building and optimizing scalable data pipelines and data models using modern
- big data frameworks (e.g. Apache Spark Flink or equivalents).
- Strong programming skills in Python or similar languages for complex data processing and automation.
- Experience working with cloud data platforms and object storage solutions (e.g. Azure AWS Google Cloud) for
- enterprise-scale data engineering.
- Solid understanding of data governance data quality lineage and compliance concepts.
- Hands-on experience implementing CI/CD pipelines and orchestration for data workflows using tools like
- GitHub Actions Jenkins or cloud-native alternatives.
- Strong analytical and problem-solving abilities with a strategic mindset and attention to detail.
- Demonstrated ability to lead and collaborate effectively within cross-functional and distributed teams.
Advantageous Skills:
- Familiarity with cloud services and serverless architectures across platforms such as Azure AWS or Google Cloud.
- Experience with monitoring logging and data exploration tools (e.g. Splunk Azure Data Explorer ELK stack).
- Hands-on experience with streaming platforms or messaging systems (e.g. Kafka MQTT RabbitMQ).
- Basic knowledge of frontend frameworks (e.g. React ) is beneficial.
- Experience providing user support and managing tickets at various support levels.
- Strong business acumen with a solution-oriented mindset focused on meeting business goals.
- Excellent communication skills and team-oriented work behavior in distributed environments.
- Ability to understand and translate business requirements into technical solutions and successfully implement them.
- Willingness to engage with international customers including overcoming language and cultural barriers.
- Self-starter with strong work ethics flexibility to take on diverse tasks and a coaching mindset.
- Willingness and ability to travel internationally (up to 2 weeks at a time).
- Agile methodology experience and ITIL process knowledge are advantages.
- Proficiency in German is a plus but not mandatory.
Key Responsibilities:
- Develop and deliver data engineering solutions primarily using Python or other relevant programming languages.
- Actively participate in agile ceremonies such as sprint planning refinement and retrospectives.
- Collaborate closely with stakeholders and team members to clarify requirements and refine user stories.
- Lead knowledge sharing mentoring and coaching initiatives within the team and across related teams.
- Proactively identify and resolve open points including proposing and prototyping solutions for discussion.
- Provide ongoing support and maintenance of existing data engineering solutions using DevOps practices.
- Embrace flexible task assignments across projects and contribute to continuous improvement.
Important Application Details Location & Relocation Applicants based outside of Gauteng must be willing to relocate. Please note that relocation to the province will be at the candidates own cost.
Eligibility & Legal * Citizenship: South African citizens and residents are preferred.
- Work Permits: Candidates with valid work permits will be considered.
- Privacy: By applying you consent to being added to our database and receiving updates until you unsubscribe.
Application Status If you do not receive a response within 2 weeks please consider your application unsuccessful.
#isanqa #isanqaresourcing #fuelledbypassionintegrityexcellence #DataEngineer #SeniorDataEngineer #CloudData #BigData #DataAnalytics #DataArchitecture #GautengJobs #TechCareersSA
iSanqa is your trusted Level 2 BEE recruitment partner dedicated to continuous improvement in delivering exceptional service. Specializing in seamless placements for permanent staff temporary resources and efficient contract management and billing facilitation iSanqa Resourcing is powered by a team of professionals with an outstanding track record. With over 100 years of combined experience we are committed to evolving our practices to ensure ongoing excellence.
