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Focal Systems

AI-driven shelf-automation platform for retailers

Data/Reporting Team Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in Poland

About the Job

Requirements

  • A bachelor's degree in Computer Science or Electrical Engineering, or equivalent practical experience.
  • At least 7 years of professional software or data engineering experience, including ownership of production data systems.
  • Strong Python skills, including performance-oriented programming.
  • Advanced SQL skills, including reading query plans and optimizing indexes on large tables.
  • Hands-on experience with a modern cloud data warehouse such as Snowflake or an equivalent, and a transformation framework such as DBT or similar.
  • Experience with change data capture or streaming pipelines and data-intensive applications.
  • A track record of owning data correctness in production, including reconciliation, validation, and resolving data drift.
  • Broad experience across data, infrastructure, and backend development sufficient to ship end to end.
  • Technical leadership experience, raising engineering standards and taking ownership without waiting for direction.
  • Fluency in Polish and advanced written and spoken English.
  • Ability to adjust working hours for a global, time-zone-diverse team, including occasional urgent tasks or meetings outside regular Central European Summer Time working hours.
  • Ability to present to non-technical stakeholders.

Responsibilities

  • Lead a small, senior data and reporting team while remaining hands-on in the pipeline.
  • Own the accuracy and reliability of customer-facing reporting, including imports, processing pipelines, reports, dashboards, and exports.
  • Build and lead the data platform, including Snowflake change data capture pipelines, DBT transformations, and silver/gold data layers served through clean application programming interfaces.
  • Engineer tooling for data integrity, including gold-set reconciliation, drift detection, and point-in-time state reconstruction across the system.
  • Own compute and cost by right-sizing pipelines for regional and chain-wide jobs and tuning queries for speed and cost.
  • Set the team's technical standards, plan work, review contributions, mentor team members, and own outcomes end to end.
  • Partner with backend, analytics, and customer-facing teams to keep reporting consistent across customer-facing surfaces.

Desired Qualifications

  • Experience with continuous integration and continuous delivery tools, Docker, and cloud deployments.
  • Experience with compute or cost optimization, warehouse performance tuning, or business intelligence and embedded analytics tools such as Sigma or similar.

About the Company

Focal Systems

AI-driven shelf-automation platform for retailers

Focal Systems sells an AI-driven store-automation platform for brick-and-mortar retailers, centered on FocalOS software that runs on a network of shelf cameras to digitize the store and optimize operations. Shelf cameras capture hourly data, and FocalOS uses deep learning and computer vision to detect out-of-stocks, low inventory, and planogram non-compliance, automatically guiding replenishment and ordering. It differentiates itself by offering an integrated hardware-plus-software solution with real-time store-floor digitization and automated actions, deployed at large retailers across multiple continents (including Walmart). The goal is to increase store sales and efficiency by improving product availability and reducing manual labor, aiming for a 3-5% lift in sales.

Company size
51-200
Company stage
Series B
Total funding
$41.8M
Headquarters
Burlingame, CA
Founded
2015

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