Senior Data Engineer

We Are Innovators & Category Creators

Clickatell, founded in Cape Town in 2000, was the first company to connect businesses with consumers via SMS using just four lines of code. Today, it powers AI-driven chat commerce for leading global brands across industries like banking, retail, telecoms, and healthcare — including Visa, ABSA, MTN, Toyota, and Pick n Pay. Over 25 years, Clickatell has led multiple industry firsts, such as tokenized Whats App payments, KYC chat banking, and Chat-2-Pay, through its award-winning AI Chat Commerce Platform that enables brands to interact and transact with customers seamlessly.

Purpose

As a Data Engineer, you will be joining our cross-functional data team, and supporting the design, build and testing of high-performance, scalable and multi-event level data solutions. You will work with structured, semi structured and unstructured data. You will play a critical role on the strengthen of our analytical presence in the Chat Commerce market. In this function you will be required to deliver production-ready data pipelines supporting key analytics or product use cases Improve the quality, reliability, or performance of existing pipelines Leave behind documented, supportable solutions aligned with Clickatell’s data standards.

Reduce friction for analytics and downstream consumers through better-modelled, trusted data.

We Do The Right Things

Responsibilities of the Role

Data Pipeline Development

o Design, build, and optimize scalable batch and/or streaming pipelines across the data lifecycle (ingestion, transformation, enrichment, and exposure).

o Implement pipelines aligned to the Medallion / layered architecture (e.g., Bronze, Silver, Gold) to support analytics, reporting, and AI-ready data products.

Data Quality, Reliability & Observability

o Improve existing ETL/ELT processes to enhance data accuracy, completeness, freshness, and consistency.

o Implement data quality checks, validation rules, and monitoring to proactively identify and resolve data issues.

o Contribute to improving pipeline reliability, performance, and cost efficiency.

Data Modeling & Analytics Enablement

o Collaborate with Analytics, BI, and Data Science stakeholders to design analytics-friendly data models (facts, dimensions, aggregates).

o Ensure data products are well-structured, documented, and consumable by downstream dashboards, APIs, and ML workflows.

Architecture & Standards Alignment

o Actively participate in solution design to ensure pipelines and data models align with data architecture principles, governance standards, and security requirements.

o Contribute to improving engineering patterns, reusable frameworks, and best practices across the Data Engineering team.

Collaboration & Delivery

o Work closely with cross-functional stakeholders (Product, Engineering, Analytics, Data Science) to translate business needs into reliable data solutions.

o Deliver clearly scoped outcomes within the contract period, including documentation and knowledge transfer.

Security & Compliance

• Ensure all data solutions comply with information security, privacy, and intellectual property policies, protecting corporate and customer data at all times.

We Are On A Learning Journey

Requirements of the Role

o National Diploma, B-Tech or bachelor's degree in engineering, computer science, or informatics.

Work Experience

o 3+ years of production data engineering experience

o 2+ years of experience working in cloud environments

o A background working in a high-volume payment transaction environment, or mobile technology platforms and systems integration would be advantageous and be able to demonstrate a sustained track record of delivering high-quality outputs, on-time and to product or business specifications.

o Exposure to Business Intelligence, data warehousing (dimensional modelling) will be advantageous.

o High transactional development environments and Business intelligence experience will be advantageous.

o Experience with data transformation tools such as Talend will be advantageous.

Knowledge and Abilities

o Excellent hands-on experience in working with SQL and No

SQL data sets

o Experience using GUI ETL tools

o Experience with data streaming architecture

o Working knowledge of Dev Ops principles such as CI/CD

o Self-disciplined, eager to help, and most importantly a thirst for continual learning

o Build on our coaching culture, you are someone who will not only be willing, but also passionate about assisting colleagues.

o Formal training business intelligence, data architecture or design would be advantageous

A Bit About You:

Behavioral competency requirements of a Pacesetter:

o Cultivating Talent: Actively drives the development of skills and strengths within the team, and recognizes achievements. Coaches the team on procedures, technical issues and priorities. Leads and contributes to a positive team environment with open communication and clear goals. Listens to team members’ feedback and resolves any issues or conflicts.

o Managing Resources: Manages…