TechBiz Global is partnering with a leading organization to recruit a Senior Data Engineer / Data Architect who will play a pivotal role in shaping the company’s data infrastructure. This hybrid position offers a unique blend of hands-on data engineering and strategic data architecture responsibilities, aimed at enabling advanced analytics and supporting critical investment decision-making processes. The role is ideal for professionals seeking to advance their careers in an innovative and dynamic environment.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and architectures that support large-scale data processing and analytics.
- Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
- Implement best practices for data governance, quality, and security to ensure reliable and compliant data management.
- Lead efforts to optimize data workflows, improve system performance, and reduce latency in data delivery.
- Architect and deploy data models that facilitate advanced analytics and reporting capabilities.
- Provide technical leadership and mentorship to junior data engineers and cross-functional teams.
- Stay current with emerging technologies and industry trends to continuously enhance the data platform.
Required Qualifications
- Extensive experience in data engineering and data architecture, preferably within financial services or investment domains.
- Proficiency in programming languages such as Python, Java, or Scala for data processing tasks.
- Strong expertise in building and managing data pipelines using tools like Apache Spark, Kafka, or similar technologies.
- In-depth knowledge of cloud platforms (AWS, Azure, or Google Cloud) and their data services.
- Solid understanding of relational and NoSQL databases, data warehousing solutions, and ETL processes.
- Experience with data modeling, schema design, and metadata management.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Excellent problem-solving skills and the ability to work effectively in a collaborative, fast-paced environment.
Preferred Qualifications and Benefits
- Previous experience working in hybrid roles combining data engineering and architecture is highly desirable.
- Exposure to investment analytics or financial data systems will be an advantage.
- Strong communication skills to effectively liaise with technical and non-technical stakeholders.
- Opportunities for professional growth within a forward-thinking organization committed to innovation.
- A hybrid working model that balances remote flexibility with in-office collaboration.
This role represents an exciting opportunity to contribute to a high-impact team while advancing your expertise in data engineering and architecture. If you are passionate about leveraging data to drive business outcomes and thrive in a challenging environment, this position could be an excellent match.