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Data Engineer at Ten Group. At Ten our goal is simple, to become the most trusted service business in the world.  . We are already the global market leader for lifestyle management and concierge services, providing services from a strong global office network with over one thousand employees.   . We deliver our service through a combination of Ten’s proprietary, unique technology-enabled platform and the expertise of our highly trained lifestyle managers. Ten is growing quickly and has ambitious plans to innovate and to keep inspiring and to continue to improve the lives of millions of members. Will you help take us there?  . As Data Engineer, you will lead on building a robust, scalable, and high‑quality data foundation that supports analytics, reporting, and product decision‑making across the organisation. . Your role involves designing, implementing, and maintaining end‑to‑end data infrastructure - including ingestion, transformation, modelling, and delivery — ensuring data is accurate, accessible, and optimised for business use. You will partner with Data Analysts, Engineering, Client Services, and other teams to translate business needs into technical solutions that enable high‑quality decision‑making. . The priority for this role is to build and maintain scalable pipelines, enforce data quality and governance, and deliver high‑performance data systems that support analytical workloads and operational processes across [region]. . You will work closely with Engineering, Product, Data Analysts, and operational teams on shared data initiatives and development of the data ecosystem roadmap. . ESSENTIAL DUTIES AND RESPONSIBILITIES:  . The information below is representative of the work performed in this position; however, it is not all-inclusive. Duties and responsibilities are subject to change based on business needs. Scope of role is defined outside of the job description.   . Data Quality, Governance & Documentation . Establish and maintain data quality checks, validation processes, and governance standards. . Ensure consistent documentation across data sources, pipelines, and models. . Maintain transparency and visibility of data lineage and data definitions. . Data Pipeline Development & Modelling . Build scalable ingestion, transformation, and normalisation pipelines across multiple internal systems. . Develop clean, well‑structured data models optimised for analysis and reporting. . Implement pipelines in Java, Python, or Scala. . Manage both batch and (ideally) streaming data processes. . Data Access & Delivery (APIs & Feeds) . Build APIs and data‑delivery mechanisms that provide fast and reliable access to analytics and reporting. . Collaborate with Data Analysts to ensure data products are consumable and business‑ready. . Develop ingestion APIs and solutions for importing external or client data. . Own and maintain data feeds, ensuring timely fixes and high reliability. . Performance & Database Optimisation . Improve data accessibility, query performance, and overall database efficiency. . Work closely with Engineering on architectural improvements and best practices. . Monitor and tune performance across data pipelines and storage layers. . Impact & Roadmap Support . Model and analyse the impact of product or engineering roadmap items. . Provide input into prioritisation and technical planning. . Support strategic and operational decision‑making with data‑driven insights. . Scalable Infrastructure & DevOps . Design, operate, and maintain scalable data infrastructure in AWS (or equivalent cloud platforms). . Apply engineering best practices including CI/CD, infrastructure‑as‑code, monitoring, and automation. . Ensure data platforms follow high‑availability and fault‑tolerant patterns. . BEHAVIORAL EXPECTATIONS:  . As Data Engineer, you will be expected to role model the behaviors associated with our Ten Standards and our core business values of Member Focused, Trustworthy, and Pioneering. This means approaching your work every day with a positive, solution-oriented, and supportive attitude. You will also be expected to translate technical concepts into clear communication, apply strong problem‑solving skills, collaborate effectively across teams, and approach challenges with ownership, curiosity, and high engineering discipline. . We encourage diverse philosophies, cultures and experiences.  . We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline or terminate, will be based on merit, competence, performance and business needs. . EDUCATION/EXPERIENCE:   . Bachelor’s degree in Computer Science, Software Engineering, or a related field. . Minimum 5 years’ experience building data pipelines using Java, Python, or Scala. . Familiarity with frameworks such as Spark or Pandas. . Experience handling batch and ideally stream processing. . Proven ability to build APIs and data‑integration solutions. . Extensive experience with SQL for transformations, validation, and optimising analytical workloads. . Fluent in English with strong communication skills. . ROLE SPECIFIC COMPETENCIES:  . Record of success in data engineering, including pipeline development and infrastructure design. . Knowledge and expertise in SQL, Python, Java/Scala, Spark, Pandas, and AWS/cloud architecture. . Demonstrated ability to apply engineering best practices (CI/CD, IaC, monitoring, automation). . Ability to promote data quality, governance, and documentation standards. . Strong problem‑solving, optimisation, and analytical abilities. . Ability to translate complex technical concepts for business stakeholders. . Strong organisational, time‑management, and project‑delivery skills. . Proficiency in modern data tooling and engineering workflows. . Company Location: South Africa.