Data Engineer
Quick Summary
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,
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.
Responsibilities
~1 min read- →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.
What We Offer
~1 min read💰 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.
Location & Eligibility
Listing Details
- Posted
- June 23, 2026
- First seen
- September 29, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 30%
- Scored at
- September 30, 2026
Signal breakdown
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