Data Engineer

At Huzzle, we specialize in connecting exceptional talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from startups and digital agencies to tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike traditional outsourcing agencies, we place candidates directly within client organizations, ensuring you become an integral, in-house team member.

We are currently seeking a skilled Data Engineer to join a fully remote team on a full-time basis. In this role, you will design, build, and maintain scalable data pipelines and infrastructure. Collaborating closely with data analysts, data scientists, software engineers, and business stakeholders, you will ensure the delivery of reliable, accessible, and high-quality data. This position offers an excellent opportunity for professionals passionate about solving complex data challenges and supporting 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, including APIs and third-party platforms.
- Ensure data quality, consistency, reliability, and security across systems.
- Monitor and troubleshoot data pipelines and workflows to maintain performance.
- Collaborate with analytics, engineering, and business teams to understand and fulfill data requirements.
- Implement data governance policies and best practices for effective data management.
- Optimize data storage, processing performance, and query efficiency.
- Support reporting, business intelligence, and analytics initiatives through robust data infrastructure.
- Document data models, workflows, and technical processes for transparency and knowledge sharing.

Required Qualifications

- Minimum of 3 years’ experience in data engineering, data warehousing, or related fields.
- Strong proficiency in SQL and database management systems.
- Experience with programming languages such as Python, Java, or Scala.
- Hands-on experience developing ETL/ELT pipelines and working with relevant tools.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
- Experience with modern data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
- Knowledge of orchestration tools such as Airflow or Prefect.
- Understanding of data modeling, data governance, and data quality principles.
- Ability to work effectively with large datasets and distributed systems is preferred.
- Strong analytical thinking, problem-solving skills, and clear communication abilities.
- Comfortable working independently within a remote, collaborative environment.

Preferred Qualifications and Benefits

This role offers a competitive salary commensurate with experience, technical expertise, and location. As a fully remote position, you have the flexibility to work from anywhere, supporting a healthy work-life balance. You will have access to career growth opportunities by joining innovative companies and contributing to impactful projects. Long-term prospects are available with growing global organizations, enabling you to build a sustainable career.

Continuous learning is encouraged, with exposure to modern data technologies, cloud platforms, and large-scale data systems. You will be part of a collaborative culture, working alongside talented engineers, analysts, and business leaders. Additionally, you will gain hands-on experience with cutting-edge technology, including modern data stacks and cloud-native solutions, positioning you at the forefront of the data engineering field.