Associate Data Engineer

• Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions.
• Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
• Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
• Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.

• Assist in the development, maintenance, and monitoring of data pipelines using modern data stack tools under senior guidance.
• Participate in troubleshooting and resolving basic issues or incidents in data workflows and pipelines.

• Contribute to data analysis and solution prototyping activities as part of a team.
• Work with other engineers in designing new data models and enhancements, documenting learning and approaches.

• Gain hands-on experience using data pipeline and ETL tools (such as DBT, Airflow, Python) through active participation in team projects.
• Learn and support processes related to cloud data warehouse deployments (development, testing, production).
• Work with Snowflake and Databricks environments, assisting with unity catalog, delta live tables & spark under supervision.

• Collaborate closely with data engineers, analysts, and business stakeholders to gather requirements and clarify technical specifications.
• Communicate technical challenges or questions, escalating appropriately for senior support.

• Maintain clear and concise documentation for data engineering tasks, including updated records of pipelines, workflows, and technical solutions.
• Assist in preparing user and process documentation as part of project deliverables.

• Support the implementation of data governance policies by monitoring data quality and flagging issues.
• Run routine data validation checks and report anomalies to the senior engineering team.

• Stay updated on industry trends and best practices in data engineering and cloud technologies.
• Actively seek mentoring and learning opportunities within the team and through provided resources.

• Observe and learn from seniors on optimising data pipelines and improving process performance.
• Assist in routine performance monitoring tasks and suggest incremental improvements as knowledge grows.

• Participate in training sessions and contribute to creating design guides or onboarding materials for future junior data engineers.
• Embrace the team’s cultural values, contributing to a positive and supportive environment.

• Bachelor’s degree in Computer Science, Data Science, IT, or related field (or equivalent experience).
• Basic SQL skills and understanding of relational databases.
• Familiarity with Python and an interest in data engineering tools such as DBT or Airflow.
• Exposure to cloud data platforms, ideally Snowflake or Databricks.
• Understanding of data modelling concepts and data governance principles.
• Strong problem-solving skills and attention to detail.
• Most importantly, we are looking for someone with a willingness to learn, adapt, and work collaboratively within a team.

• A vibrant, relaxed, yet professional culture.
• Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration.
• A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work.
• Generous paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 weeks leave for primary carers and up to 4 weeks for secondary carers.
• An additional week’s Loyalty Leave each year after reaching 3 years’ service.
• Wellness initiatives with a strong focus on psychological safety.

Lendi Group