Data Engineer

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TLC Worldwide

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1993

🤝 B2B

💰 Debt Financing on 2014-12

Marketing • Loyalty Programs • B2B

TLC Worldwide is the world's largest rewards platform, focusing on driving customer acquisition, engagement, and loyalty. For over 30 years, TLC has connected clients' customers with free experiences worldwide, making lives more rewarding and changing behavior. The unique global platform offers access to thousands of experiences catering to diverse consumer passions and needs, from travel and hotels to family outings, dining, entertainment, and wellness. The commercial model allows clients to reward a broader audience more generously, delivering strong ROI and supporting brand equity. The COSMOS platform, developed by TLC, provides a customizable rewards program configurator, offering clients tailored claim mechanisms and reward content. With real-time program data and analytics available through COSMOS Insights, TLC Worldwide enables clients to create highly effective and differentiated campaigns.

📋 Description

• Data Platform Development & AI Enablement: You will build, maintain, and optimise ELT pipelines that ingest data from internal operational systems, APIs, third-party platforms, and event sources into Snowflake using tools such as Fivetran and cloud-native integrations. • Data Modelling, Transformation & Analytics Enablement: You will develop and maintain raw, curated, and business-ready data models within Snowflake, ensuring data is structured, documented, and optimised for analytics and self-service reporting. • Platform Optimisation & Continuous Improvement: You will help improve the reliability, scalability, performance, and observability of the modern data platform, identifying opportunities to optimise Snowflake usage, streamline workflows, improve automation, and enhance developer experience as TLC’s data capabilities continue to evolve. • Cross-Functional Collaboration: You will work closely with Analysts, Technology, Product, and Client teams to understand data requirements and deliver scalable data solutions that support business decision-making. • Operational System Integration: You will support integrations across TLC’s operational ecosystem, including COSMOS, Mixpanel, external plugins, and third-party platforms, helping ensure reliable, accurate, and scalable movement of data across business systems. • Data Quality, Governance & Engineering Best Practices: You will contribute to data governance, testing, monitoring, documentation, and engineering standards to ensure trusted, high-quality datasets and scalable development practices across the data platform. This includes version control, code reviews, automation, and continuous improvement of engineering processes.

🎯 Requirements

• Proven experience in data engineering, analytics engineering, or modern data platform development • Strong SQL and Python skills, with experience building and optimising data transformations, automation, and scalable data workflows • Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar, including performance, scalability, and cost optimisation • Understanding of dimensional modelling, semantic layer design, and building curated business-ready datasets for analytics and reporting • Experience developing and maintaining ELT/ETL pipelines, including ingesting and integrating data from APIs, SaaS platforms, and operational systems • Experience monitoring and troubleshooting data pipelines, schema changes, synchronisation issues, and platform reliability • Familiarity with modern data stack tools such as Fivetran, dbt, orchestration tools, Git, and collaborative engineering practices including version control and code reviews • Experience working with cloud platforms such as Azure and/or GCP • Strong communication skills with the ability to work across technical and non-technical stakeholders • A proactive mindset with an interest in modern data platform trends, AI enablement, automation, scalability, and continuous improvement • Preferred Experience • Experience with Snowflake optimisation and performance tuning • Experience working with event analytics platforms such as Mixpanel • Familiarity with modern analytics platforms • Experience using Python for data engineering or automation tasks • Familiarity with customer, campaign, loyalty, or martech data ecosystems • Experience working with AI/GenAI capabilities within Snowflake, including implementing best practices and leveraging advanced analytics and machine learning features to support business use cases.

🏖️ Benefits

• Dynamic & collaborative team in a creative environment with exposure to global clients & colleagues • Weekly webinars to support your development through our People Academy • Annual TLC Wellness Week and programmes throughout the year • TLC Culture Club - including seasonal social events, tasty lunches & more • TLC Gives Back - volunteering opportunities, including off site visits and volunteering leave • TLC Rise - supporting and empowering women into leadership roles • 'Frankies' - Our very own awards ceremony where we walk down the TLC red carpet in our best outfits • TLC Owner's Club - Everyone that is part of the TLC experience contributes to our success, which is why we all own a piece of TLC as part of our share holder scheme