Senior Data Software Engineer F/H

Catalina Marketing France SAS; company affiliated with Catalina Marketing Corporation (*)

Why Catalina? At Catalina, we understand that our success is the result of the talent and commitment of our people. Our guiding principles set the stage for winning in the markets we serve, and our potential is powerful. When you join the Catalina team, you will be part of an inclusive environment that embraces flexibility, community involvement, work-life balance as well as opportunities to grow professionally.

The Opportunity

As a Senior Data Software Engineer, you will join the Data Team. This Team develops and maintains:

• A Data Warehouse that exposes the right data to the right customer, whether internal or external

• A Data Pipeline Framework developed internally, to import and/or export Data from our internal and external customers

We are seeking a highly skilled and client-facing Senior Data Software Engineer to join our Data Team. You will lead the design, development, and maintenance of our data infrastructure, including our Data Warehouse and internally developed Data Pipeline Framework. Leveraging a robust tech stack consisting of Kotlin, SQL, Snowflake, PostgreSQL, Python, Microsoft Azure, Databricks, and git, you will architect scalable and efficient data solutions to meet the needs of our internal and external clients.

• Act as a primary point of contact for clients, understanding their data requirements and collaborating closely with them to design and implement tailored data solutions.

• Lead the design, development, and maintenance of our Data Warehouse, ensuring it exposes the right data to the right clients, whether internal or external, while maintaining high performance, reliability, and scalability.

• Architect and optimize our internally developed Data Pipeline Framework, using Kotlin, to efficiently import and/or export data from our internal and external clients, ensuring data integrity, timeliness, and ease of use.

• Collaborate closely with cross-functional teams and clients to understand business requirements, identify data sources, and design data models and schemas to support analytical and reporting needs.

• Develop and maintain ETL processes using Kotlin, SQL, and Python, ensuring data accuracy, completeness, and timeliness.

• Design and implement data solutions using Snowflake and PostgreSQL, optimizing database performance, and ensuring data integrity and security.

• Utilize Microsoft Azure services for cloud infrastructure, data storage, and processing, ensuring scalability, reliability, and cost-effectiveness.

• Utilize Databricks for data engineering tasks, such as data ingestion, processing, and analytics, leveraging distributed computing capabilities to handle large volumes of data efficiently.

• Implement version control and collaboration best practices using git, ensuring code quality, traceability, and reproducibility of data engineering workflows.

• Provide technical leadership and mentorship to junior members of the data engineering team, guiding them in best practices, design principles, and client engagement.

• Stay abreast of industry trends, best practices, and emerging technologies in data engineering and analytics, advocating for their adoption where appropriate.

Qualifications

• Master's degree in Computer Science, Engineering, or related field.

• Proven experience (at least 5 years) designing, implementing, and optimizing data solutions and ETL processes in a client-facing role.

• Strong proficiency in Kotlin (or equivalent) for ETL development, with experience in designing and maintaining scalable data pipelines and frameworks.

• Extensive experience with SQL, including database design, optimization, and performance tuning, with proficiency in Snowflake and PostgreSQL.

• Hands-on experience with Python for data manipulation, scripting, and automation tasks, with the ability to integrate with APIs and external data sources.

• Experience working with cloud platforms such as Microsoft Azure, including services like Azure Data Lake Storage, Azure SQL Database, and Azure Databricks.

• Proficiency in utilizing Databricks for data engineering tasks, such as data ingestion, processing, and analytics, leveraging distributed computing capabilities.

• Strong understanding of version control systems, particularly git, and experience implementing best practices for collaboration and code management.

• Excellent communication and collaboration skills, with the ability to effectively engage with clients, understand their needs, and translate them into technical solutions.

• Demonstrated leadership abilities with a track record of leading complex data engineering projects in a client-facing capacity.

• Strong problem-solving skills with the ability to analyze complex data challenges and develop innovative solutions.

• Languages: English (fluent) AND French (fluent)

The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Other job-related tasks other than those specifically included in this description may be required.

All duties and responsibilities are essential job functions and requirements and are subject to possible modification at any time. Duties and responsibilities may further be modified at the company’s discretion to reasonably accommodate individuals with disabilities.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

About Catalina

Catalina is a leader in shopper intelligence and precisely targeted in-store, TV and digital media that personalizes the shopper journey. Powered by an unrivaled real-time shopper database and AI-optimized data science, Catalina helps retailers, CPG brands and agencies optimize every stage of media planning, execution and measurement to deliver more than $6 billion in consumer value annually. Catalina has no higher priority than ensuring the privacy and security of the data entrusted to the company and maintaining consumer trust. Catalina has operations in the United States, Costa Rica and Europe. To learn more, please visit www.catalina.com or follow us on LinkedIn.

We are committed to investing in, empowering, and retaining a more inclusive community within our company. We are dedicated to hiring the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and a voice to be heard. Our goal is to ensure that all our talented professionals are equipped with support, resources, and the opportunity to excel.

Catalina values your privacy and is committed to protecting your personal information. Please review our privacy policy, which provides details on how we process the data you provided for job applications.

(*) Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Catalina Marketing Corporation has numerous affiliates, many with names that include Catalina or Catalina Marketing. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity.

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