Senior Data Engineer (Analytics & Reporting Team)

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make. As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment. Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Why Choose Corsearch?

• Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
• Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
• Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you\'ll be joining an inclusive environment where diverse perspectives thrive.
• Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.

The Analytics and Reporting team at Corsearch plays a critical role in delivering data solutions across the business. This team is responsible for designing, automating, and optimizing standard reports for clients, consulting on custom data feeds, maintaining metric definitions and canonical queries, and building data pipelines that combine information from Finance, Marketing, Sales, Products, and Operations into a common data lakehouse for internal reporting and analysis. We are seeking a skilled Data Engineer to join this team and contribute to these data initiatives, ensuring robust and scalable data infrastructure for reporting and analytics.

Data Pipeline Development & Optimization

• Design, build, and maintain scalable data pipelines to integrate data from various business units into a unified data lakehouse.
• Automate data workflows to ensure accurate, timely, and efficient data availability for reporting and analytics.
• Optimize database performance, ensuring efficient data retrieval and fast query execution across large datasets.
• Develop robust ETL/ELT processes to support both internal analytical needs and external client data feeds.

Reporting & Analytics Support

• Work closely with analysts, data scientists, and business stakeholders to deliver optimized standard reports and custom data feeds for clients.
• Maintain and enforce consistent metric definitions and canonical queries across all reports and analytics to ensure data consistency and accuracy.
• Collaborate with cross-functional teams to maximize the effective use of tools like Power BI, Snowflake, ClickHouse, and Looker for reporting and visualization purposes.

Technology & Infrastructure Evolution

• Evaluate and recommend new technologies, tools, and best practices for data storage, transformation, and reporting to keep the data platform modern and efficient.
• Contribute to the ongoing evolution of the team\'s data stack and infrastructure, implementing improvements that enhance performance, scalability, and reliability
• Ensure data integrity, security, and governance protocols are upheld across all data assets and pipelines, aligning with company and regulatory standards.

Essential

• Strong experience in SQL and database management (e.g., PostgreSQL, ClickHouse, Snowflake), with a track record of writing efficient queries and managing large datasets.
• Proficiency in data pipeline development and ETL/ELT processes, including experience with workflow automation and orchestration tools (e.g., Apache Airflow, dbt, Airbyte, or similar).
• Familiarity with business intelligence tools such as Power BI, Looker, or other BI platforms for reporting and data visualization.
• Experience working with cloud-native data warehouse and lakehouse architectures, and knowledge of data modeling and schema design.
• Ability to work both independently and collaboratively in a fast-paced, evolving environment, demonstrating strong problem-solving skills and attention to detail.

Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.

Department: Technology | Role: Data Engineer | Locations: United Kingdom (London) | Remote status: Hybrid