Software Engineer III – Data

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 new ingestion sources end-to-end against a senior engineer's design, including connector code, DAG, schema, monitoring, and catalog registration • Extend the team's existing ingestion framework where a new source needs an unsupported pattern • Investigate pipeline failures independently, recognize known issue classes, and ship documented fixes • Identify downstream consumers and risks before shipping new pipelines, and flag gaps during specification review • Write clear handovers when escalating unresolved issues • Review peers' pipeline pull requests and catch non-obvious issues such as missing idempotency checks and race conditions • Turn ambiguous data-quality questions into structured investigations by tracing data lineage from source to warehouse • Surface concerns in specification reviews as specific, well-reasoned questions • Support data security and governance work, including PII masking and access controls • Contribute to data delivery work, including reverse ETL integrations • Build relationships with internal stakeholders and help scope and clarify requirements • Mentor DE2s on significant projects and help them apply team conventions

🎯 Requirements

• 3–5 years of professional software or data engineering experience • Strong SQL and Python skills, with solid experience building and operating production data pipelines • Comfort investigating and root-causing pipeline issues independently before escalating • Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar) • Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing • Experience giving substantive code review feedback, not just style or formatting comments • Strong communication skills — can write a clear technical handover, ask sharp questions in spec review, and explain a data lineage investigation to a non-technical stakeholder • A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction • Experience extending or building reusable pipeline frameworks/templates • Exposure to reverse ETL tools or patterns, PII masking, or data access governance (RBAC) • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting • Some experience mentoring or informally supporting more junior engineers • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry

🏖️ Benefits

• Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones • Work on high-visibility, high-trust systems that the business depends on • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity • Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way