Job description
Junior Data Engineer, Data OperationsWe are looking for a Junior Data Engineer who is excited to contribute to a growing Data Operations function within a SaaS business. In this role, you'll help build and maintain reliable, high-quality data pipelines that support internal reporting, analytics, and operational needs across the company.
Working closely with the Data Engineer and the wider Data Operations team, you'll develop scalable data processes, maintain trusted datasets, and support the smooth operation of our enterprise data platform. You'll assist in integrating new internal data sources, improving data quality, and helping to create well‐governed data assets that enable accurate reporting, meaningful insights, and future analytical work.
Responsibilities
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 help 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.
Contribute to data governance activities, including data cataloging, metadata upkeep, documentation, and adherence to security and access standards.
Maintain clear technical documentation for data pipelines, workflows, and operational procedures.
Work with the Data Engineer and wider Data Operations team to support analytics, reporting initiatives, and internal data consumers.
QualificationsMust Have Skills and Experience
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 modelling concepts.
Experience writing technical documentation.
Strong organizational and time‐management skills.
Strong problem‐solving skills and attention to detail.
Eagerness to learn and grow in the field of data engineering.
Advantageous Skills and Experience
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.
Familiarity with BI and reporting tools such as Power BI, Tableau, or AWS QuickSight.
Benefits
Salary will depend on your experience and will be highly competitive.
All packages include an annual bonus based on company performance.
Extensive health insurance, income protection, life assurance, subsidised gym membership, leisure travel insurance, pension contribution, Cycle2Work, and childcare vouchers.
25 days' holiday allowance plus an additional day off for your birthday.
Remote‐friendly environment with flexible work arrangements.
Applicable PoliciesAll qualified applicants will receive consideration for employment regardless of race, colour, religion, sex, national origin, sexual orientation, age, disability, marital status, or gender identity.
More About Smart CommunicationsSmart Communications is a leading technology company focused on helping businesses engage in more meaningful customer conversations. Its Conversation Cloud platform uniquely delivers personalized, omnichannel conversations across the entire customer experience, empowering companies to succeed in today's digital‐focused, customer‐driven world while also simplifying processes and operating more efficiently.
Learn MoreTo learn more about Smart Communications, visit https://www.smartcommunications.com/
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Extra information
- Status
- Open
- Education Level
- Secondary School
- Location
- London
- Type of Contract
- Full-time jobs
- Published at
- 21-05-2026
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Must be eligible to work in the EU
- No
- Cover Letter Required
- No
- Languages
- English
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