Data Engineer

Parvana; Kraaifontein; Híbrido; ZAR 650.000 - 900.000; Jornada completa

Descripción de la vacante

Parvana seeks an experienced Data Engineer to design, maintain, and document data pipelines and products, ensuring data quality and alignment with operational sources. You will oversee database performance, security, and access, while monitoring usage, archiving data, and identifying design improvements.

You will build robust ETL processes and support BI with data migrations and key projects. The role requires strong SQL, Databricks, cloud experience (AWS/Azure), and collaboration with IT and BI

Formación

• 3-5 years in IT with data engineering focus.
• Strong SQL coding across MS SQL, PostgreSQL, etc.
• Experience with ETL tools and cloud data platforms.

Responsabilidades

• Design, maintain, and document data pipelines and products.
• Oversee database performance, security, and access.
• Provide BI support, data migrations, and project delivery.

Conocimientos

Advanced SQL

Data engineering

Data warehousing

Data lifecycle management

Analytical thinking

Stakeholder engagement

Business acumen

Problem solving

Herramientas

Databricks

PostgreSQL

SQL Server

MySQL

SSIS

Glue

Lambda

AWS

Azure

PowerBI

SAP Data Services

Python

Java

Linux shell scripting

Database administration

Descripción del empleo

Location: Cape Town | Work Type: Hybrid | Job ID: J

About our client

Our client, a reputable financial services firm listed on the Johannesburg Stock Exchange (JSE), holds a strong belief in the transformative power of incremental progress. They are committed to empowering individuals and businesses alike, offering tailored solutions and expert guidance to help pave the way to success. With a focus on innovation and excellence, they provide secure financial futures through personalised advice and cutting-edge products. Their mission is to support diverse goals and aspirations, enriching lives across every journey.

What you will be doing

Design, maintain, and document data pipelines and products while ensuring data quality and alignment with operational sources. Oversee database performance, security, and access, while monitoring usage, archiving historical data, and identifying design improvements. Develop and uphold coding, naming, change control, and extraction/loading standards. Provide statistical and reporting support to the Business Intelligence team, support data lakehouse operations, and deliver key projects, including data migrations, on time. Partner with IT and business teams to manage relationships, ensure effective service delivery, and support continuous service improvement. Actively manage personal learning, development, and growth while contributing to complex problem-solving.

What our client is looking for

3 - 5 years of experience in a similar IT role, with a strong focus on data engineering, warehousing principles, and data lifecycle management (sourcing, cleansing, transformation, and analysis). Advanced SQL coding is essential (MS SQL, PostgreSQL). Experience with Databricks, database management (Postgres, SQL Server, MySQL), and building robust ETL processes (SSIS, Glue, Lambda) is required. Experience with cloud software (AWS, Azure) is expected. Knowledge of PowerBI, SAP Data Services, Python/Java, Linux shell scripting, and database administration are considered advantageous. Candidates must demonstrate strong business acumen, analytical problem-solving abilities, and excellent written and verbal communication skills to facilitate stakeholder engagement. The role requires a candidate who is results-driven, persistent, flexible, self-aware, and maintains a collaborative, innovation-focused, and growth-oriented mindset.