Senior Data Engineer – Looker & Amazon QuickSight

We are seeking a highly skilled Senior Data Engineer with extensive hands-on experience in both Looker (LookML/dashboard development) and Amazon QuickSight. This role will help shape our analytic infrastructure, assist in dashboard migration, and deliver high-performance BI solutions in collaboration with cross-functional teams. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market.

Roles & Responsibilities :

• Develop, maintain, and enhance Looker dashboards and LookML models (including explores, derived tables, dimensions/measures, PDTs)
  
• Design and implement Amazon QuickSight dashboards: build SPICE datasets, visualizations, filters/parameters, and fully featured dashboards
  
• Lead migration projects moving dashboards from tools like Looker to QuickSight, replicating metrics, filters, and layouts while optimizing performance
  
• Use SQL extensively for querying, ETL validation, data transformations, and ensuring data model integrity.
  
• Collaborate with Data Engineering and business stakeholders to design semantic layers and data models to support BI tools.
  
• Evaluate and adjust ETL logic/data pipelines to align with BI needs and ensure data accuracy.
  
• Perform data validation and QA on datasets, reports, and dashboards to ensure consistency and correctness.
  
• Apply dashboard performance optimization practices in QuickSight (e.g. SPICE tuning, incremental refreshes)
  
• Manage QuickSight data source integrations (Redshift, Athena, RDS, S3) and build relationships to secure data delivery.
  
• Utilize related AWS services—e.g. IAM, Glue, Lambda—for governance, data preparation, and process automation.
  
• Produce comprehensive documentation for data transformations, dashboard specifications, and delivery guidelines.
  
• Work collaboratively in cross-functional teams, supporting analysts, engineers, and business stakeholders.
  

Qualifications & Skills:

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
  
• 4 to 6 years of experience with BI tools, including significant hands-on work in Looker and LookML.
  
• 3+ years building and optimising Amazon QuickSight dashboards, managing SPICE datasets, and performance tuning
  
• Strong SQL proficiency (complex queries, joins, data modelling, validation).
  
• Experience with data modelling and semantic layer design to improve analytics usability.
  
• Proven track record in BI migration projects, particularly moving dashboards from Looker (or similar) to QuickSight.
  
• Familiarity with AWS ecosystem: Redshift, Athena, RDS, S3, Glue, Lambda, IAM.
  
• Experience with QA processes, data validation, and analytical consistency checks.
  
• Ability to assess performance bottlenecks and optimize dashboards for user experience.
  
• Excellent documentation skills, including transformation logic, dashboard specs, and stakeholder guides.
  
• Strong communication skills—capable of working with stakeholders and cross-functional teams.
  
• Prior experience migrating Looker reports to QuickSight or comparable BI tools
  
• AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect).
  
• Familiarity with version control workflows or CI/CD for BI assets (e.g, API-based deployments).
  
• Experience embedding QuickSight dashboards or implementing advanced access controls.
  
• Background in using tools like Data-bricks, Athena SQL, or Python ETLs.
  

Signs You May Be a Great Fit

• Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.
  
• Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.
  
• Growth: Access professional development opportunities and mentorship from experienced peers.
  
• Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.