Data Engineer

TLC Worldwide

Data Engineer at TLC Worldwide building data pipelines and platforms for insights and AI innovation. Collaborating cross-functionally to deliver scalable data solutions in a fully remote setup.

Posted 6/19/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata engineeringanalytics engineeringdata transformationsELTETLdimensional modellingdata qualitydata governance

Soft Skills

communicationcollaborationproactive mindset