Senior Data Engineer

4 weeks ago

Auckland City, New Zealand Warner Bros. Discovery Full time

**_Welcome to Warner Bros. Discoverythe stuff dreams are made of._**

**Who We Are **

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the_ creators_ bringing them to your living rooms and the _dreamers_ creating what’s next

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

**General Summary**:
The New Zealand Product and Data Team are responsible for:

- Managing the consumer and advertiser product experience for our ad supported digital video product ThreeNow.
- End-to-end digital data collection, management and activation across commercial, marketing, content and product teams.
- Delivering actionable and accessible insights about WBD NZ’s products, content and consumers to enable data-lead decision making that drives profitable growth in audience and revenue.

Reporting to the Data Delivery Manager, the Senior Data Engineer is a role designed to support the development and maintenance of a robust, accurate and dynamic data asset for business usage across commercial, product, content and marketing teams.

**Role Summary**:
Reporting to the Data Delivery Manager, we are seeking a Senior Data Engineer to join our team at WBD NZ. In this role, you will play a crucial part in the integration of internal and external data sources into our data lake, exposing data to third-party systems, and maintaining the integrity of our data hub/spokes architecture. Your responsibilities will also include ensuring data quality through thorough testing and test writing to minimize disruptions for data lake users. If you are passionate about data engineering and have expertise in JAVA, Maven, Spark, SQL (Athena/Presto), and AWS technologies, we encourage you to apply.

**Key Responsibilities**:

- Data Integration: Collaborate with cross-functional teams to integrate internal and external data sources into our data lake, ensuring data availability and accessibility.
- Third-Party Integration: Expose sets of data from our data lake to third-party systems, enabling seamless data exchange and integration.
- Data Lake Maintenance: Safeguard the integrity and performance of our data hub/spokes architecture, implementing best practices for data storage and retrieval.
- Data Quality Assurance: Take ownership of data quality by conducting comprehensive testing, writing tests, and ensuring that changes to data lake tables do not disrupt users' access to critical data.
- Technology Expertise: Utilize your expertise in JAVA, Maven, Spark, SQL (Athena/Presto), and AWS technologies, including Data Pipelines, Lambda, S3, and Athena, to drive efficient data engineering solutions.

**Qualities Required**:

- Technical Agility: Comfortably navigate between various technologies and tools, including JAVA, Maven, Spark, SQL, and AWS, to address data engineering challenges effectively.
- Data Analysis: Possess a clear understanding of data collection methods, data pipelines, and data quality standards, enabling you to explain data intricacies to stakeholders.
- Technical Proficiency: Demonstrated experience in JAVA, Maven, Spark, SQL (Athena/Presto), and AWS technologies.
- Data Engineering: Proven track record in data engineering, including data integration, data exposure, and data quality assurance.
- Agile Collaboration: Experience working in agile teams is a plus, as you may be involved in creating user stories for tracking new features.
- Familiarity with SQL (basic level), AWS (user level), and Power BI would be advantageous.

**How We Get Things Done**

**Championing Inclusion at WBD

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