TLC Worldwide
Data Engineer
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado20 jun 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Data Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Here are a few things that we've got to offer:
- Dynamic & collaborative team in a creative environment with exposure to global clients & colleagues - Check out our clients
- 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
Details
- 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
- 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.
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