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BI Engineer

Signal AI

Signal AI

Sales & Business Development
Lisbon, Portugal
Posted on Thursday, May 16, 2024

About Signal - Who are we?

We're on a mission to change the way businesses make decisions with our cutting-edge AI technology. To achieve that, we’re looking for passionate people to join our open and unconventional workplace. Our inclusive environment welcomes skills and experiences from diverse backgrounds, and defines who we are.

About the role - what’s your purpose?

We are looking for a BI Engineer to work with our Strategic Solutions and Internal Tools teams to support the build & infrastructure of technical solutions for our large enterprise clients.

The role will need to manage the data infrastructure and quality across multiple client & internal projects. You'll work closely with our engineers, solution architects and implementation managers in order to support delivery of standardised and custom dashboards & reports. This role should have a strong level of independence to manage and optimise the data structures and processes to ensure the products are robust and fit for purpose.

Day-to-Day Responsibilities - What you will be doing?

  • Working in a collaborative environment where you'd be expected to be pair programming most of your time.
  • Manage databases and comprehensive QA checks within databases & dashboards.
  • Utilise data models for different use cases & tailor the necessary ETL processes that precede them.
  • Monitor and optimise performance of processes, dashboards and reports, and manage security & governance structures for each project.
  • Technical support for our key enterprise solutions, working within the solution architect & implementation teams.

Who are we looking for?

  • Confident in ETL process management (Python, AWS, SQL, etc.)
  • Proficient in data modelling & transformation
  • Proficient in data pipeline & QA management
  • Experience with BI tools (Power BI, Tableau, Yellowfin)
  • Proficient in data analysis and dashboard build
  • Experienced in communicating technical issues with both clients and engineers
  • Experience with data as a service and working with commercial timelines