← Huzzle

Data Engineer

Huzzle Employer Mid Software & IT

Huzzle is seeking a full-time remote Data Engineer to design, build, and maintain scalable data pipelines, databases, and data architectures.

Can a South African apply?

The employer’s own job board lists this role’s eligible location as:

South Africa (remote)

Taken from the structured location field on the employer’s job board, not from the wording of the advert, when we last checked it on 2026-09-22. Employers change eligibility without notice — the employer’s page is the authority, not this one.

What it pays

Not published. This posting states no figure, and we do not estimate one. Ask during the first conversation.

The full posting

Reproduced from the employer’s own listing, unedited.

Read the posting in full · 406 words

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.

Job Type

Full-time

Location

Remote

Job Summary

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to ensure reliable, accessible, and high-quality data across the organization.

This is an excellent opportunity for professionals who enjoy solving complex data challenges and building systems that support business intelligence, analytics, and machine learning initiatives.

Key Responsibilities

Design, develop, and maintain scalable ETL and ELT pipelines.

Build and optimize data architectures, databases, and data warehouses.

Integrate data from multiple sources, APIs, and third-party platforms.

Ensure data quality, consistency, reliability, and security.

Monitor and troubleshoot data pipelines and workflows.

Collaborate with analytics, engineering, and business teams to understand data requirements.

Implement data governance and best practices for data management.

Optimize data storage, processing performance, and query efficiency.

Support reporting, business intelligence, and analytics initiatives.

Document data models, workflows, and technical processes.

3+ years of experience in data engineering, data warehousing, or related roles.

Strong proficiency in SQL and database management.

Experience with Python, Java, Scala, or similar programming languages.

Hands-on experience with ETL/ELT tools and data pipeline development.

Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

Experience with modern data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.

Familiarity with orchestration tools such as Airflow or Prefect.

Understanding of data modeling, data governance, and data quality principles.

Experience working with large datasets and distributed systems is preferred.

Strong analytical, problem-solving, and communication skills.

Ability to work independently in a remote, collaborative environment.

💰

Competitive salary

Based on experience, technical expertise, and location.

🌎

Fully remote role

Work from anywhere with flexible working arrangements.

🚀

Career growth opportunities

Join innovative companies and work on impactful projects.

📈

Long-term opportunities

Build your career with growing global organizations.

🧠

Continuous learning

Exposure to modern data technologies, cloud platforms, and large-scale data systems.

🤝

Collaborative culture

Work alongside talented engineers, analysts, and business leaders.

⚙️

Cutting-edge technology

Gain experience with modern data stacks and cloud-native solutions.

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