Data Engineer II

Job not on LinkedIn

🔥 19 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $118k - $156k / year

⏰ Full Time

🟢 Junior

🚰 Data Engineer

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Sky Betting & Gaming

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🎲 Gambling

🎮 Gaming

👥 B2C

Gambling • Gaming • B2C

Sky Betting & Gaming is a UK-based consumer-facing betting and online gaming operator. Now part of Flutter UK & Ireland and the wider Flutter Entertainment group, the brand is presented alongside Betfair, Paddy Power, PokerStars and tombola as a market-leading provider of trusted entertainment to millions of customers. The company emphasizes responsible play, customer experience and uses digital platforms (web and apps) to deliver betting and gaming services, with operational presence in Leeds and registration under Flutter Entertainment plc.

📋 Description

• Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions — including writing the code, unit tests, and documentation • Support data security and governance work, such as PII masking and access controls, following established patterns • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed • Pair with senior engineers on data integrity issues you can't yet diagnose alone • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work • Flag blockers early and with context rather than going quiet when stuck • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements • Conduct and participate in code and system inspections • Help the team define and adhere to data engineering best practices • Mentor more junior data engineers as you grow into the role

🎯 Requirements

• 1–3 years of professional software or data engineering experience • A self-learner with a strong ability to gather, evaluate, and analyze requirements • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations • Comfort reading and writing unit tests, and working within an established codebase and conventions • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow) • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL • Familiarity with Git-based version control and PR-based code review workflows • Strong communication skills — asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt.

🏖️ Benefits

• For information about our benefits, please visit https://benefitsatfanatics.com/