Remote Data Engineer

About the role

Huzzle connects talent with in-house roles at leading companies across the UK, US, Canada, Europe and Australia. As a Data Engineer on a remote, full-time basis, you will design, develop and maintain scalable data pipelines and infrastructure, working with data analysts, data scientists, software engineers and business stakeholders so that data is reliable, accessible and of high quality.

Key responsibilities

• Design, build and maintain scalable ETL and ELT data pipelines.
• Develop and optimise data architectures, databases and data warehouses.
• Integrate data from sources, APIs and third-party platforms.
• Maintain data quality, accuracy, consistency, reliability and security.
• Monitor, troubleshoot and improve data pipelines and workflows.
• Work with analytics, engineering and business teams to meet data requirements.
• Establish data governance standards and best practices.
• Improve storage, processing speed and query performance.
• Support BI, reporting and analytics projects and document data models and workflows.

Required profile

• 2+ years of experience in data engineering, data warehousing or a similar field.
• Strong analytical thinking, problem-solving and communication skills.
• Comfortable working independently while collaborating with a remote team.

Required skills

• Strong SQL and database management.
• Python, Java, Scala or another relevant language.
• ETL/ELT tools and pipeline building.
• AWS, Azure or Google Cloud Platform.
• Snowflake, Redshift, BigQuery or Databricks.
• Airflow or Prefect.
• Data modelling, governance and data quality; large datasets and distributed systems are an advantage.

What we offer

• Competitive compensation tailored to experience, skills and location.
• Fully remote work.
• Career development and exposure to emerging data technologies and cloud platforms.
• Collaboration with engineers, analysts and business stakeholders.