Data Engineer

iKhokha; Umhlanga Rocks; Hybrid; ZAR 520,000 - 840,000; Full time

Benefits offered by this job

Hybrid/Remote options

Competitive pay & benefits

Learning & development support

Onsite Barista & perks

Job summary

iKhokha is seeking a passionate Data Engineer to turn raw data into powerful insights and scalable solutions. You will design and maintain data pipelines, collaborate with data scientists and analysts, and ensure data quality and security.

You'll work with Python, SQL, and cloud platforms (Snowflake, Azure, AWS) to enable data-driven decision making in a fast-growing fintech environment in South Africa. Hybrid/remote options available.

Qualifications

• Degree in computing, IT or related field.
• 3–5 years experience in a Data Engineering role.
• Experience with data teams (analysts/scientists/product managers).
• Solid exposure to databases, ETL, Python and SQL.

Responsibilities

• Design, develop, and maintain data pipelines for large data volumes.
• Integrate data from multiple sources, ensuring quality and integrity.
• Optimise data infrastructure for scalability, performance and cost.
• Collaborate with data scientists and analysts to implement data models.
• Document data flows and govern data security and privacy.

Skills

Python

SQL

Data pipelines

Data governance

Collaboration

Education

BSc Computer Science

BCom / IT related Degree

Tools

Snowflake

Azure

AWS

Pulumi

Job description

iKhokha is a place where chance takers become change makers.
At iKhokha, we’re made to make it. As you’d expect, our pace is fast-moving and ever-changing. We like it that way. As one of the fastest growing Fintech's in Africa we've built a team of global change-makers who want to make an impact. If you believe that you are made to make it, be achance-taker and help us empower small businesses in South Africa.

Job Description

Love data, solving problems and building things that make a difference?We’re looking for a passionate Data Engineer to turn raw data into powerful insights, smart solutions and real business impact.

If Python, SQL, cloud platforms and tackling complex data challenges excite you,your next data adventure starts here!

So, what will you do?

• You’ll enable data-driven decision-makingby building and maintaining the infrastructure and tools needed to collect, organise, process and store large volumes of data.
• You’ll collaborate with Data Scientists, Data Analysts and key stakeholdersto understand their data needs and turn them into effective, scalable solutions. While using your strong technical expertise and passion for all things data.

In addition to the above, you will:

• Design, develop, and maintain data pipelines, ensuring efficient and reliable data processing, transformation, and storage.
• Integrate data from various sources, both internal and external, ensuring data quality and integrity.
• Optimise data infrastructure and pipelines for scalability, performance, and cost-effectiveness.
• Collaborate with data scientists and analysts to understand their data requirements and assist in the design and implementation of data models and structures.
• Collaborate with cross-functional teams to define data requirements, develop data solutions, and support data-driven decision-making.
• Stay updated with industry trends and emerging technologies in data engineering and recommend innovative solutions to enhance our data infrastructure and processes.
• Document and maintain technical specifications, system configurations, and data flow diagrams.
• Implement and monitor data governance and security measures to ensure data privacy and compliance with relevant regulations.
• Troubleshoot and resolve issues related to data processing, pipeline performance, and data quality.

Qualifications

• BSc Computer Science / BCom / IT related Degree.
• Relevant certification(s) in Data Engineeringor a relatedfield.

Deal Breakers:

Minimum 3-5 years’ experience in a Data Engineering role with the following:

• Experience working directly with Data teams (Including Data Analysts, Data Scientists and Product Managers).
• A good exposure to various business functions as well as excellent understanding of Database’s, ETL, Python and SQL.
• Solid Experience working in cloud Platforms (Snowflake /Azure / AWS), data modelling (Kimball), ETL, Data integration and API’s as well as good experience in developing in Python.
• Has worked previously in a data warehouse environment as well as knowledge of the Data Engineering landscape.
• Good Quality Assurance experience in testing Specifications and Data Integrity.
• Good understanding of the data engineering and analytics landscape, how SLDC works in a Data driven environment as well as how various functional areas within a business work: Sales, Marketing, Finance, HR, Logistics, Operations and Product.

In addition to the above, the experience in the following technologies, domains and best practices will make you a frontrunner for the role:

• Experience in infrastructure as Code (IaC) would be advantageous and specifically Pulumi.
• Previous industry experience in financial services and / or Data Engineering | analytics environment would be an advantage.
• Some Understanding and exposure to Data management principles such as general Knowledge of the DMBOK framework would be advantageous.
• A good understanding of how card transactions and the online payment industry works as well as data and product management domain.
• Data Quality and Governance must be at the top of the agenda as well as attention to detail and quality.
• Knowledge of Agile Scrum development principles and methodologies, (Scrum / Kanban).
• Participation and active engagement in the defined internal processes, (SDLC).

Additional Information

Perks of joining the Tribe?

• Work in a high-growth company with tangible results you're accountable for.
• Enjoy hybrid,remote, and in-officeworkmodels.
• Competitive remuneration and benefits, including reduced Gap cover rates. Medical Aid and Group Risk scheme contributions.
• Visionary leadership.
• Seize the opportunity for study leave.
• Access to on-demand learning at your fingertips.
• Experience a friendly, collaborative culture with a team of all-round-lekker humans(it’s true, we surveyed our Employees and they told us so).
• If you find yourselfat HQ, coffee on tap and a selection of hot beveragesprovided by our very own onsite Barista.