Job Description

Job Title:Junior Data Engineer

Employment type: Full time

Location: Foreshore, Cape Town

Reporting to: Senior Developer

Working Setup: 40 hours per week, Mondays to Fridays, 10:00 to 19:00. Hybrid, with Mondays and Fridays being mandatory office days.

The Business:

Effer Ventures is an operationally-focused investment group. The business is currently concentrating on the UK commercial financial sector, alongside a leading Employer of Record and recruitment company in South Africa. Our strategy is centred on digitalisation, automation and operational excellence, using data, systems and AI to create scalable, high-performance businesses.

We are now looking for a Junior Data Engineer to take ownership of our data acquisition, data compliance and data administration.

The Role:
We are looking for a detail-oriented and technically curious Junior Data Engineer to support our sales and marketing teams by building, maintaining and enriching high-quality data sets. This role sits at the intersection of data, automation, and revenue operations, and is ideal for someone who enjoys working with tools, processes, and large volumes of data to drive measurable business impact.

You will be responsible for sourcing, cleaning, enriching and organising lead data, supporting automated outreach campaigns, and collaborating closely with sales and marketing teams to improve targeting, efficiency, and performance across multiple brands.

The responsibilities of this role include:
Data Collection & Research

• Identify potential leads from multiple online sources, including LinkedIn, company websites, job boards, business directories and online data platforms.
• Extract, verify and maintain accurate contact information (emails, phone numbers, LinkedIn profiles, etc.).
• Research and capture company data such as industry, size, location and key decision-makers.

Data Management & Enrichment

• Organise and structure data into our master database, hosted on SupaBase, and CRM platforms.
• Clean, validate and deduplicate data to maintain high accuracy and usability.

• Enrich incomplete data sets using online tools and research methods.

• Maintain and regularly update internal lead databases.

• Generate reports and performance insights to measure data acquisition, enrichment and RIO.
• Support the full email marketing lifecycle by ensuring data scraping and enrichment are completed accurately and on time.
• Work closely with marketing, sales and operations teams to continuously improve data quality and processes.

Lead Qualification

• Categorise leads based on defined criteria such as industry, company size and potential relevance, as guided by management, marketing and sales teams.
• Identify and map key stakeholders (e.g. CEOs, CFOs, Hiring Managers, Heads of Marketing/Sales), keep track of the sales cycle stage of each lead and update continuously.

Automation & Tools

• Use data scraping and enrichment platforms such as Clay, LinkedIn Sales Navigator, Apollo.io, ZoomInfo, Phantom Buster, Instant Data Scraper, Prospeo and similar tools.
• Support the building and optimisation of data workflows and automation processes.
• Assist in improving scalability, consistency and speed of data operations.

Experience & Skills:

• Experience in lead generation/data research.

• Proficiency in tools like LinkedIn Sales Navigator, Apollo.io, ZoomInfo, Phantom Buster, Instant Data Scraper, Prospeo, and similar.
• Strong Excel skills and experience handling large datasets.
• Experience with data management tools like SupaBase is beneficial.
• Experience in data scraping, enrichment, and lead list building.
• Familiarity with Clay, Apollo, and other data sources is a plus.
• Knowledge of CRM tools like Close.
• Experience building workflows or scheduling communications.
• Strong analytical and data-handling skills.
• Basic understanding of B2B sales and marketing.
• Excellent communication, collaboration, and organisational skills.

• Proactive, self-motivated, and a go-getter attitude.

• Ability to meet strict deadlines and manage multiple tasks across various brands.
• Thrives in a fast-paced and growing environment.
• Team player with a positive and collaborative attitude.
• Proficiency in Python is a plus
• Interest in leveraging AI and automation tools to enhance processes.

Compensation and Incentives:

Base Salary:

• Average monthly base salary: R20,000–R25,000, with room for higher compensation based on experience and performance.

Benefits:

• Quarterly performance-based bonus.

• The opportunity to play a key role in a growing and dynamic marketing team and company.
• Work in a collaborative and fast-paced environment.
• Hybrid more in-office than not.
• Company transport.
• Medical Aid after probation period.
• Complimentary breakfast and fruit in the office daily.