Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Engineer - Social role.

Rezi rewrites your resume against Bertelsmann's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Engineer - Social posting at Bertelsmann — free, in seconds.

About the Role

We’re looking for a strong mid-level Data Engineer to support our Social Video team. You’ll design, build, and optimize data pipelines that integrate performance, advertising, platform, audience, and content data from global sources. This role suits someone ready to take ownership of larger systems, shape data structure, and connect business-wide data. You will deliver scalable data flows powering global Social Video performance dashboards, monetization insights, and viewing metrics using technologies like Google BigQuery, dbt, and Microsoft Fabric. Your work will ensure data accuracy, security, and accessibility for analysis, reporting, and forecasting, enabling informed business decisions at speed and scale. If you are passionate about how data drives the TV and film industry and want to make an impact, you'll fit right in.

Responsibilities

Ingest and integrate new data sources, including advertising, audience, platform, and content from social partners into Fremantle’s central data platform.
Own the YouTube and Meta data pipelines, including Content ID / CMS reports, ensuring revenue and performance data reaches Finance complete, reconciled, and on time for month-end.
Build and maintain robust, scalable data pipelines using technologies such as Google BigQuery and dbt to transform raw data into structured, analytics-ready datasets.
Ensure data integrity, governance, and security across the data platform, contributing to data quality assurance through validation and testing frameworks.
Collaborate with the central Data & Analytics team to structure datasets for BI dashboards and reporting.
Optimize data pipelines for performance, scalability, and efficiency, following standard engineering practices including version control, code reviews, and iterative development.
Monitor pipeline health, data freshness, and data quality, with proactive alerts and issue resolution.
Document pipelines, datasets, and data flows to ensure clarity, reproducibility, and smooth handovers across teams.
Translate business and analytical needs into clear data models and technical solutions.
Adapt pipelines to evolving platform and partner data, including handling schema changes and irregular data feeds.
Automate data processes to reduce manual intervention and streamline operations.
Stay current with modern data engineering technologies and best practices, contributing to continuous improvement and knowledge sharing across the team.

Requirements

Proven experience working with cloud-based data platforms (e.g., GCP, Azure, AWS, Snowflake); Microsoft Fabric is a plus.
Strong proficiency in SQL and Python, with the ability to write complex queries and reusable scripts for data transformation, validation, testing, and automation, ensuring data accuracy, reliability, and efficiency.
Experience designing and managing robust ETL/ELT pipelines using tools such as dbt, BigQuery, or equivalent technologies.
Experience with Git-based version control, CI/CD tooling, and collaborative development practices, including code reviews and testing.
Experience with the YouTube Analytics / Reporting and Meta Graph APIs, and with finance-grade data: reconciliation, controls, and hard deadlines an advantage.
Hands-on experience retrieving and integrating data from APIs (REST, JSON), including handling authentication, pagination, rate limits, and changing data structures.
Solid understanding of data modelling principles and best practices for structuring data for analytics, reporting, and downstream consumption.
Confident working with large, complex datasets across various formats (databases, Excel, CSV, JSON, Parquet, APIs), while optimizing performance.
Experience integrating data from social platforms such as YouTube and Meta, or working with advertising, audience, performance, and revenue data would be advantageous.
Strong problem-solving skills and a track record for diagnosing and resolving complex data-related issues.
Excellent communication and collaboration skills. You’re comfortable engaging with analysts, stakeholders, and cross-functional teams.
A genuine curiosity about how data drives programming decisions, content performance, audience behavior, and monetization.

Skills

Google BigQuery
dbt
Microsoft Fabric
SQL
Python
Git
REST APIs
JSON
YouTube Analytics API
Meta Graph API

Experience Level

Mid-level

Benefits

Generous company pension
Summer Fridays
Audience tickets
Employee assistance program
Access to free courses and training
EV scheme
Cycle to work scheme
Season ticket loan
Business coaching sessions
Volunteer days

About the Company

Fremantle is a powerhouse of the TV and Film industry, one of the world’s largest and most successful creators, producers, and distributors of Entertainment, Drama & Film and Documentaries.
Our purpose is to create stories and entertainment that connect audiences around the world and reflect the diversity of the communities we live in and serve.
We collaborate openly, challenge ourselves to think differently, and move with pace in a constantly evolving industry.
We encourage curiosity, accountability, and courageous decision-making, while supporting each other to learn and grow.
We are committed to building an inclusive culture where people feel trusted and empowered to succeed.
Fremantle is part of RTL Group, a global leader across broadcast, content, and digital, itself a division of the international media giant Bertelsmann.