Junior Data Engineer - Remote Opportunity

About the Role

We are seeking a Junior Data Engineer to join our dynamic team at Smart Communications. This Junior Data Engineer remote position offers an exciting opportunity to contribute to our growing Data Operations function within a leading SaaS business. In this role, you will assist in building and maintaining reliable, high-quality data pipelines that support internal reporting, analytics, and operational needs across the company.

What You'll Do

• Build and maintain reliable data pipelines that load and transform data within our enterprise data lake.
• Develop and maintain data transformations using PySpark and SQL to support internal reporting and analytics needs.
• Ingest and integrate data from internal and approved external sources using a variety of integration patterns and APIs.
• Apply and monitor data quality checks to ensure accuracy, completeness, and consistency across datasets.
• Support day-to-day data operations, including job monitoring, incident triage, reruns, backfills, and general platform maintenance.
• Assist with root-cause analysis and post-incident improvements to enhance pipeline reliability.
• Collaborate with stakeholders to gather clear data and reporting requirements, document outcomes, and translate needs into well-defined technical tasks.
• Record and manage work items in JIRA, ensuring tasks are well-organized, up-to-date, and clearly documented.

Requirements

• 1–3 years’ experience in data engineering, analytics engineering, or a related role.
• Bachelor’s degree (or equivalent experience) in computer science, data & analytics, or a related discipline.
• Solid knowledge of Python and SQL.
• Hands-on experience building or maintaining data pipelines.
• Practical experience with PySpark (DataFrames and Spark SQL).
• Familiarity with cloud storage concepts (e.g. Amazon S3).
• Experience working with data tables and basic data modeling concepts.
• Strong organizational and time management skills.

Nice to Have

• Experience working with Databricks and Delta Lake.
• Experience integrating data via REST APIs.
• Exposure to data quality frameworks or validation techniques.
• Basic understanding of data governance or access control concepts.
• Experience with AWS-based data platforms.

What We Offer

• Competitive salary based on experience, with an annual bonus based on company performance.
• Extensive health insurance, income protection, life assurance, and subsidized gym membership.
• Pension contributions and Cycle2Work scheme.
• 25 days’ holiday allowance plus an additional day off for your birthday.
• Flexible working environment with tools and support to help you succeed.

This Junior Data Engineer remote role is perfect for someone eager to learn and grow in the field of data engineering while contributing to initiatives that help teams across the business make informed, data-driven decisions.