Data / Analytics Engineer

Location: Bryanston

Salary: Market related
Duration: 12 month contract

Shape the future of data with high-impact analytics at the heart of strategic decision-making.

Is this you?

You’re analytical, solution-oriented, and thrive in a fast-paced environment where complex data challenges fuel your curiosity. You enjoy turning raw data into valuable business insights and are as comfortable collaborating across teams as you are building scalable pipelines. You’re detail-focused, communicate clearly, and have a passion for building systems that power decision-making.

What you’ll be doing (and why you’ll enjoy it)

You’ll design and manage robust ETL pipelines, ensuring seamless ingestion, transformation, and integration of data from multiple sources. Working with both structured and unstructured data, you’ll optimise queries, enforce governance policies, and contribute to master data management initiatives. You’ll also support predictive modelling and analytics that influence business strategy. Whether developing dashboards, writing transformation logic, or deploying workflows with engineering teams, your work will directly improve operational efficiency and business impact.

Where you’ll be doing it

You’ll be joining a progressive and forward-thinking organisation in the financial and operational services space. With a culture rooted in innovation, collaboration, and excellence, this company values data as a key driver of its strategic goals. Their hybrid work environment supports flexibility and cross-functional teamwork while offering access to modern tools and technologies to keep you at the forefront of the data space.

What you’ll need

You’ll bring strong SQL skills (PL/SQL, T-SQL), and hands-on experience with relational databases such as Oracle, SQL Server, or PostgreSQL. You’re experienced with ETL tools like Informatica, Talend, or SSIS, and have solid grounding in data modelling, data governance, and pipeline optimisation. Familiarity with BI tools (Power BI, SSRS), scripting in Python or Shell, and cloud platforms (AWS, Azure, or GCP) would be a plus.

What you’ll get

A chance to work on complex, high-impact data initiatives in a collaborative, tech-forward culture. Flexible hybrid setup, competitive contract rates, and exposure to enterprise-level data operations make this an exciting opportunity for skilled data professionals.

How to apply

For a confidential discussion please contact Judy Engelbrecht on (010) 065 1655 or send your CV to judy.engelbrecht@ttec.co.za – We appreciate that your CV might not be fully up to date. No problem, just send us what you have. We do respond to everyone! Just give us a few days to work through your application.

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