Junior Data Engineer
Role Overview
Combines helpdesk support with data engineering development.
Support the design, maintenance, and optimisation of data pipelines and architecture for client products and services.
Work with data analysts, data scientists, and stakeholders to support reliable data flows.
Key Skills for This Role
Full Job Posting
Role overview
Combines helpdesk support with data engineering development.
Support the design, maintenance, and optimisation of data pipelines and architecture for client products and services.
Work with data analysts, data scientists, and stakeholders to support reliable data flows.
Helpdesk and support
- Answer and triage incoming tickets, escalate issues appropriately, and monitor the queue.
- Follow up on outstanding tickets and defects; support client queries, investigations, bug fixes, and change controls.
Data engineering duties
- Assist in building and maintaining scalable pipelines and implement ETL processes for data from multiple sources.
- Test and validate data quality, integrity, and reliability.
- Support SQL and NoSQL databases and data lakes; monitor database performance and security.
- Integrate data from multiple sources and develop APIs and interfaces for data access.
- Document processes, pipelines, and architectures; generate reports and visualisations.
- Troubleshoot data issues, assist with governance and compliance, and participate in code reviews and process improvement.
Qualifications and technical skills
- Proficiency in SQL and experience with relational databases such as MySQL or PostgreSQL.
- Experience with data pipeline and workflow tools such as Apache Airflow.
- Familiarity with Python, Java, or Scala.
- Basic understanding of cloud platforms and services such as AWS, Azure, or Google Cloud.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Knowledge of big data technologies such as Spark is a plus; relevant data engineering or cloud certifications are also a plus.
Working hours
- Standard working hours are 6:00 a.m. to 2:30 p.m.
- The role includes out-of-hours work on a rota when needed; an out-of-hours allowance is provided.
Success in the role
Helpdesk tickets are triaged promptly and escalated correctly.
Pipelines run reliably, with data quality issues caught through testing before reaching clients.
Data is consolidated reliably, and processes and architecture are documented for shared knowledge.
The role offers scope to grow into more complex investigations, bug fixes, and change controls.
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