About the role

  • Data Engineer at ClickView, building efficient data pipelines and collaborating with engineering teams to enhance the educational video platform.

Responsibilities

  • End-to-end responsibility for data projects and work to enable our engineering teams by making data useful:
  • Design, build, and maintain efficient, reusable, and reliable data pipelines and ETL processes.
  • Develop and manage the data architecture to ensure data quality, integrity, and security.
  • Implement best practices for data management, including data governance and data lifecycle management.
  • Collaborate with product and engineering teams to understand data requirements and provide scalable solutions.
  • Monitor and troubleshoot data issues, ensuring timely resolution and minimal disruption.
  • Work closely within the team to support data visualization and reporting solutions using Looker.
  • Create and maintain documentation related to data engineering processes and workflows.

Requirements

  • Solid experience working in data engineering or software engineering
  • Experience with cloud Data Warehousing (Snowflake) and Data Lake experience
  • A strong understanding of ELT/ETL processes and data architecture
  • Nice to have, experience with data structures and query languages in relational DBs such as MySQL and MS SQL Server
  • Experience with DBT and familiar with the best practice of data transformation and adherence best practices.
  • Familiar with AWS native services (S3, DMS, Lambda, Glue, etc)
  • A passion for data engineering and analytics
  • Understanding of statistical models
  • Ability to visualize data with the knowledge of BI tools (we use Looker)
  • Ability to maintain data infrastructure, and data pipelines and ensure data integrity
  • Ability to communicate ideas, processes, and practices clearly

Benefits

  • Extra paid Wellbeing and Volunteering leave to care for yourself and others 🚴
  • Flexible working hours and arrangements to accommodate different working preferences and personal situations 🏠
  • 100 days working from a different location for up to 100 calendar days per year 🌎
  • Access to a wide range of discounts to support wellbeing and financial health 💰
  • L&D budgets and professional opportunities available, so you can continue growing to be the best you 🥇
  • Wellbeing policy and EAP access, we put your mental health and wellbeing first💆
  • Generous parental leave policy where we offer an additional 16 week’s full pay 🚼
  • Regular socials, conferences and free snacks to celebrate the hard work of our team + amazing harbour front office views 🥂

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job