Data Engineer - Cape Town

Ten Lifestyle Group

Cape Town

Hybrid

ZAR 700,000 - 1,000,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work possibilities
Paid time off
Sabbatical after 5 years
Employee discounts on travel and娱乐

Job summary

Ten Lifestyle Group is seeking a Data Engineer to design, implement, and maintain a robust data foundation enabling analytics and product decisions. You will partner with Analysts, Engineering, and Client Services to translate business needs into scalable data solutions.

The role focuses on building end-to-end data infrastructure in AWS, establishing data quality, and delivering accessible data products to drive insights and strategic decisions in a hybrid Cape Town environment.

Qualifications

  • 5+ years' experience building data pipelines using Python.
  • Proven experience with AWS Lambda and ECS.
  • Strong knowledge of Airflow for ETL/ELT data pipelines.
  • Extensive SQL experience with data transformations and analytics workloads.
  • Ability to work with batch and streaming data processing.

Responsibilities

  • Establish and maintain data quality checks, validation processes, and governance standards.
  • Build scalable pipelines that ingest, normalise, and transform data from multiple sources into a central data store.
  • Develop clean, structured data models ready for analysis and reporting.
  • Build APIs and data delivery mechanisms for fast, reliable access to analytics and dashboards.
  • Partner with Data Analysts to ensure data is consumable for reporting and decision-making.
  • Develop ingestion APIs and solutions for importing external/client data.
  • Own and maintain Data Feeds with timely fixes and high reliability.
  • Improve data accessibility, query performance and database efficiency.
  • Collaborate with Engineering on best practices and architecture improvements.
  • Model and analyse impact of roadmap items to support prioritisation.

Skills

SQL
Python
AWS (Lambda, ECS)
Airflow
Snowflake
MS SQL Server
PostgreSQL
GitHub
Jira

Education

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field

Tools

Spark
Pandas

Job description

Driving Innovation and Trust: Ten's Journey to Redefine Service Excellence

Ten is on a mission to become the most trusted service business in the world.Technology-driven Product is at the centre of our strategy to create a hugely successful service and business.Millions of members already have access to Ten's services across lifestyle, travel,diningand entertainment on behalf of over 50 clients including HSBC,Swisscard, Visa, Mastercard and American Express. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees.

We have the advantages of already being at scale globally with a critical mass ofhigh-net-worthmembers via stable, multi-year revenue-generating contracts.We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our‘big 4'service categories of restaurants/travel/entertainment and luxury retail.

We aredebt-free,profitable and the first B Corp listed on the London Stock Exchange (AIM market).

Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives.The next few years will see Ten speed up our progress via our Growth Engine strategymaking the next huge steps to achieve our ambitions together.

For more information about Ten, please check out our Welcome to Ten video and this article.

The role

We are looking for a Data Engineer to be responsible for building a robust, scalable, and high-quality data foundation that enables analytics, reporting, and product decision-making across the organisation.

In this role, you will design, implement, and maintain the end-to-end data infrastructure, from ingestion to modelling to delivery, ensuring that data is accurate, accessible, and optimised for business use. A core part of the role is partnering with cross-functional teams including Data Analysts, Engineering, and Client Services to translate business needs into technical solutions.

Key responsibilities
  • Establish and maintain data quality checks, validation processes, and governance standards.
  • Ensure consistent documentation across data sources, pipelines, and models.
  • Build scalable pipelines that ingest, normalise, and transform data from multiple internal systems into a unified, central data store.
  • Develop clean, well-structured data models ready for analysis and reporting.
  • Build APIs and data delivery mechanisms that provide fast, reliable access to analytics, insights, and reports.
  • Partner with Data Analysts to ensure data is easily consumable for reporting and decision-making.
  • Develop ingestion APIs and solutions for importing external or client data into databases.
  • Own and maintain Data Feeds, ensuring timely fixes and high reliability.
  • Improve data accessibility, query performance, and database efficiency.
  • Work closely with Engineering to align on best practices and architectural improvements.
  • Model and analyse the impact of potential product or engineering roadmap items to support prioritisation and decision-making.
  • Design and operate modern, scalable data infrastructure in AWS (or an equivalent cloud platform).
  • Apply software engineering and DevOps best practices including CI/CD, infrastructure-as-code, monitoring, and automation.
  • SQL
  • Python
  • AWS (Lambda, ECS)
  • Airflow
  • Snowflake
  • MS SQL Server, PostgreSQL
  • GitHub, Jira
Requirements

What we need from you:

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
  • 5+ years' experience building data pipelines using Python - strong hands-on coding experience is essential.
  • Proven experience working with AWS, specifically Lambda and ECS.
  • Strong knowledge and hands-on experience using Airflow for ETL/ELT data pipelines.
  • Familiarity with frameworks and tools such as Spark and Pandas.
  • Ability to work with both batch and, ideally, streaming data processing.
  • Experience building APIs and data delivery solutions, with a strong focus on data cleansing, integration and quality.
  • Extensive hands-on experience with SQL, including building transformations, validating data and optimising analytical workloads.
  • Strong communication skills, with the ability to translate complex technical concepts into clear, actionable insights for business stakeholders.
Guidelines for Hybrid/Home Office:
  • This role is Cape Town-based and requires candidates to commute to the office at least 2 days per week. Please note this is a non-negotiable requirement.
  • A secure home office at your confirmed address, free from background noise or other distractions when working remotely
  • You must meet our minimum internet speeds if you want to work in our hybrid model and this will be checked during the recruitment process and again when you join. We also have a great office that you can work from as an alternative.
Benefits

Our people are at the heart of the business, and we have a culture of recognition and reward - both through regular appraisals but also annual Extra Mile Awards where we celebrate those who have gone that extra mile in their role. We also encourage all our staff to incorporate their aspirations and interests into their career at Ten and we are there every step of the way in supporting development.

Rewards designed around you:

  • A competitive salary depending on experience
  • Flexible work arrangements including Hybrid work possibilities; with up to 60% Home Office.
  • Paid time away from work. Our employees enjoy a competitive paid time off package, including a day each year to volunteer time for a good cause that is important to you.
  • Paid Sabbaticals. One (1) month paid Sabbatical after every 5 years of Service, without tapping into annual leave.
  • Extra Rewards. Lucrative Ten Loyalty Rewards program which includes a bonus and gift to say thank you for being part of Ten.
  • Employer contributory company Medical Aid: We offer a comprehensive employer-contributory medical aid scheme designed to support the health and well-being of our employees. Through this benefit, the company makes regular contributions towards your medical aid plan, helping to significantly reduce your out-of-pocket medical expenses.
  • Remote Working Holidays - possibilities to Travel and Work anywhere in the world!
  • Employee Discounts. Access to lots of great travel and entertainment discounts as our clients' members would!
  • Be part of our global, dynamic, and inclusive Team, with diversity at its core.
  • Genuine career opportunities within a dynamic and international company.
Commitment to Diversity

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.

Driving Innovation and Trust: Ten's Journey to Redefine Service Excellence

Ten is on a mission to become the most trusted service business in the world.Technology-driven Product is at the centre of our strategy to create a hugely successful service and business.Millions of members already have access to Ten's services across lifestyle, travel,diningand entertainment on behalf of over 50 clients including HSBC,Swisscard, Visa, Mastercard and American Express. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees.

We have the advantages of already being at scale globally with a critical mass ofhigh-net-worthmembers via stable, multi-year revenue-generating contracts.We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our‘big 4'service categories of restaurants/travel/entertainment and luxury retail.

We aredebt-free,profitable and the first B Corp listed on the London Stock Exchange (AIM market).

Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives.The next few years will see Ten speed up our progress via our Growth Engine strategymaking the next huge steps to achieve our ambitions together.

For more information about Ten, please check out our Welcome to Ten video and this article.

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