Data Engineering Specialist

About the role

Brightstar is seeking a Data Engineering Specialist to design, build and maintain robust data pipelines and data models that support our lottery, retail and digital operations. You will work closely with cross‑functional teams to ensure high‑quality, observable data that powers BI reporting, analytics, data science and generative AI initiatives.

Key responsibilities

• Design and develop batch and streaming data pipelines for ingestion, normalization and enrichment from gaming systems, retail terminals, digital channels, payments, CRM, back‑office and external partners.
• Build and maintain Snowflake data models (Data Lakehouse) optimized for BI, analytics, data‑science and generative AI workloads.
• Define and implement data quality and observability controls, metrics and alerts covering completeness, accuracy, duplicates, latency and lineage.
• Apply best practices to optimise security, cost and performance of storage and compute resources.
• Publish certified datasets for Power BI and ML feature stores, documenting definitions, KPIs, SLAs and lineage.
• Collaborate with Architecture, Cybersecurity, Operations, Finance, Retail/Digital, Product and Data Science teams to enable data‑driven use cases.
• Support incident and change management on mission‑critical production environments, including on‑call rotations when required.
• Produce technical documentation such as runbooks, low‑level designs, release notes and ER diagrams, and promote data‑engineering best practices.

Required profile

• Degree in Computer Science, Computer Engineering or a related field (or in progress).
• Quick learning attitude and willingness to experiment.
• For experienced candidates: at least 1–2 years of IT experience; for recent graduates, internships, university projects or personal projects are valued.

Required skills

• Snowflake
• Power BI