• Design and build scalable data pipelines • Optimize data workflows for performance & reliability • Handle large-scale structured & unstructured data • Collaborate with cross-functional teams • Ensure data quality, governance & security • Implement best practices in data engineering

This is a remote position. Location: South Africa | Work Type: Remote | Job ID: J107154 About our client: Over the past 20 years, our client has built a stellar reputation in the development and system integration space. Through their extremely ethical values, they have earned the trust and respect of their clients. They prioritise finding effective solutions over being proficient in any particular technology making each project unique and challenging. Our client is continuously growing and looking for adaptable individuals who are interested in the latest tech, who enjoy problem solving and enjoy adapting to optimise continuous improvement for their clients. This requires a candidate who enjoys staying up-to-date with the latest technology trends and who is adaptable. Our client boasts an impressively low staff turnover rate and has a cosmopolitan culture that values building long-term relationships. They prefer to hire permanent employees and offer flexible working hours, work-from-home options, and the most generous bonuses in the industry. What you will be doing: - Define and execute the overall data strategy, leveraging Google Cloud services such as BigQuery, Dataflow, Cloud Storage, and Pub/Sub. - Lead the design, development, and maintenance of scalable and robust data pipelines and data warehouse solutions on GCP. - Manage and mentor a team of data engineers and analysts, fostering a culture of technical excellence and continuous improvement. - Establish and enforce best practices for data governance, quality, security, and compliance within the GCP environment. - Collaborate with product, engineering, and business stakeholders to understand data needs and translate them into technical requirements. - Evaluate and recommend new GCP data technologies and tools to optimize performance and efficiency. - Oversee the deployment of machine learning and analytical models built on GCP's AI Platform. What our client is looking for: - A relevant tertiary qualification would be beneficial (Computer Science, Engineering, etc.) - Google Cloud Professional Data Engineer or Cloud Architect certification. - 3+ years of experience in data engineering, data architecture, or a related field. - 2+ years of experience specifically with the Google Cloud Platform (GCP) data services. - Extensive experience with BigQuery, including complex query optimization and performance tuning. - Experience with Infrastructure as Code (e.g., Terraform) and CI/CD pipelines on GCP. - Familiarity with business intelligence tools (e.g., Looker, Tableau). - Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. For a more comprehensive list of opportunities that we have on offer, do visit our website - https://www.parvana.co.uk/careers Requirements Data Lead, GCP, BigQuery, Dataflow, Cloud Storage, data pipelines, data warehouse, data strategy, data governance, security, compliance, Infrastructure as Code (Terraform), CI/CD, Looker, Tableau, machine learning, AI Platform, data engineering, Cloud Architect

• Design and implement automated validation frameworks to ensure data integrity, accuracy, and compliance across all migration cycles • Work closely with business stakeholders, functional leads, and the data conversion team to understand data requirements • Identify data anomalies and provide expert recommendations on optimal reporting designs • Reconcile transformed data against legacy sources to ensure completeness and accuracy • Develop dashboards and readiness metrics that provide real‑time insight into migration status • Support data validation, quality assurance activities, and defect resolution • Assist with UAT planning, execution, and stakeholder review sessions

• Own and manage the full sales cycle, from prospecting and pipeline development to negotiation and closing • Develop and execute strategic sales plans to drive adoption of cloud data platforms • Build and maintain strong relationships with key stakeholders, including C-level executives • Identify client needs and position Snowflake and Databricks solutions to deliver measurable business value • Collaborate with technical and delivery teams to ensure successful implementation and client satisfaction • Monitor market trends, competitive landscape, and emerging technologies in the data and analytics space