Bede Gaming

Data Engineer

• You’ll lead complex engineering work across critical data pipelines and platform capabilities, acting as the technical quality bar for data engineering across the Tribe.
• This will include:
• - Leading and implementing complex engineering work across critical data pipelines and platform capabilities.
• - Taking the lead on difficult production incidents, performance bottlenecks, and data integrity issues.
• - Driving root-cause analysis and remediation for systemic engineering and operational weaknesses.
• - Designing, building, optimising, and troubleshooting scalable data pipelines across batch and streaming workloads where applicable.
• - Contributing production-grade Python and SQL code aligned to engineering standards for maintainability, readability, observability, and operational resilience.
• - Leading optimisation and stabilisation efforts across Pentaho ETL and Databricks lakehouse ecosystems.
• - Improving Spark workload efficiency, cluster utilisation, query performance, storage optimisation, orchestration reliability, and platform scalability.
• - Defining and implementing observability standards for critical pipelines and datasets.
• - Improving operational readiness across the data estate through monitoring, alerting, dashboards, runbooks, ownership clarity, and operational tooling.
• - Improving developer experience through reusable frameworks, CI/CD patterns, templates, libraries, and “golden path” implementation examples.
• - Promoting pragmatic and safe adoption of AI-assisted and agentic engineering approaches where they improve engineering outcomes.
• - Supporting data-heavy and AI-enabled product initiatives including recommendation engines, behavioural scoring, propensity modelling, and intelligent automation features.
• - Designing and building production services, APIs, and integration layers that expose new data capabilities and features into products and operational workflows.
• - Developing squad engineering leads through mentorship, coaching, technical guidance, and hands-on support.
• - Collaborating with Data Engineers, Platform Engineering, SRE, Architecture, Governance, Product teams and engineering leadership to unblock delivery and support complex engineering challenges.

Principal Data Engineer

• Designing, building, optimising, and troubleshooting scalable batch and streaming data pipelines where applicable.
• Contributing production-grade Python and SQL code aligned to engineering standards for maintainability, readability, observability, and operational resilience.
• Supporting safe and pragmatic modernisation across legacy Pentaho and modern Databricks platform capabilities.
• Improving Spark workload efficiency, query performance, orchestration reliability, storage optimisation, and platform scalability.
• Contributing to technical investigations, troubleshooting, and remediation planning for production issues and systemic engineering weaknesses.
• Implementing robust testing approaches including unit, integration, reconciliation, and data quality validation.
• Improving supportability and resilience across the data estate through monitoring, dashboards, alerting, runbooks, and operational tooling.
• Helping improve developer effectiveness through reusable tooling, templates, frameworks, and automation.
• Supporting data-heavy and AI-enabled product initiatives including recommendation systems, behavioural analytics, propensity modelling, and intelligent automation features.
• Collaborating with Data Engineers, Platform Engineering, SRE, Architecture, Governance, and Product teams to unblock delivery and support complex engineering challenges.

Senior Data Engineer

Product Manager

• Develop a product strategy for your SME area that aligns with Bede’s broader vision and goals.
• Create and manage the Bede Product Roadmap for respective product areas, maintaining and curating the Portfolio Backlog.
• Define high-level requirements and contribute towards proposals for new product initiatives.
• Take ownership of the full end-to-end journey for the products and services within your domain.
• Utilise data insights to identify areas of strength and weakness for Bede’s products and services, making recommendations accordingly.
• Set clear KPIs to measure the success of new features when introducing them into the product.
• Understand operator revenues, marketing strategy and strategic goals, including how new initiatives will impact these revenues.
• Manage, track and approve changes to your product portfolio as a Project Sponsor.
• Establish and maintain strong relationships with existing and potential clients to maximise value to Bede.
• Keep up to date with industry and market shifts, including technological advances, competitor awareness and regulatory changes.
• Create awareness of Bede’s products with customers to ensure they make the most of their usage.
• Lead the Bede Feedback Forums with operators, turning product feedback and insights into iterative improvements.
• Develop pre-sales materials, conduct product demos for prospective new clients and act as an ambassador for Bede.
• Provide support, guidance and product expertise during the post-sales process and beyond to both internal and external stakeholders.
• Have a thorough understanding of third-party integrations available in the market and the benefits of each, providing recommendations to operators based on this knowledge.
• Review and respond to incoming Change Requests in a timely manner, working alongside Business Analysts and Technical Leads where appropriate.
• Collaborate with Product Owners on feature documentation, product user guide creation and shared understanding of the product and its direction.
• Travel is required for customer visits, sales pitches and trade shows.