As a Data Engineer at Ziff Davis Shopping, you’ll help drive the evolution of our data architecture, enabling data-informed experiences across our diverse portfolio from Retailmenot.com, VoucherCodes.co.uk, Offers.com, BlackFriday.com, and more.
Build & lead the design and implementation of scalable data pipelines and ETL frameworks.
Collaborate with technology, analytics, and product teams to define data capture strategies, build end-to-end solutions, and validate their reliability.
Maintain and evolve data APIs to support both existing and greenfield product initiatives.
Architect and model data for reporting, analytics, and semantic-layer consumption.
Implement proactive data quality checks and monitoring systems to safeguard data integrity.
Support BI solutions, ensuring coherent semantic models are available for analysis and reporting.
Integrate emerging technologies into our data stack, keeping our infrastructure modern and competitive.
Collaborate cross-functionally with engineering teams to deliver complex, high-quality features.
Design and validate test cases alongside QA/test management to guarantee reliability.
Provide operational support, including participation in on-call rotations and production troubleshooting.
5+ years of data or application engineering experience, with strong proficiency in SQL and Python scripting.
3+ years of experience in cloud platforms ideally AWS.
Worked with Airflow (2+ years) and Snowflake (2+ years).
Experienced with RDBMS technologies such as MySQL, Redshift, and Snowflake.
Solid grasp of computer science fundamentals, data structures, algorithms, and design patterns.
Familiar with engineering workflows using tools like Git, JIRA, and CI/CD, and understand DevOps practice.
Built systems capable of processing large-scale data and are comfortable in distributed environments.
Experience with BI/reporting implementations and modeling semantic layers.
Demonstrate strong communication skills, with the ability to document technical designs clearly.
Collaborative, eager to both teach and learn, and committed to maintaining high-quality standards.
Containerisation experience with Docker and Kubernetes.
Hands-on experience with PySpark for scalable data pipelines.
Familiarity with dbt for data transformation and modelling.
Exposure to Fivetran or similar ingestion tools.
Knowledge of AWS services such as S3, SQS, SNS, and Athena.
Comprehensive medical, dental, and vision coverage.
Life and disability benefits.
Flexible Spending Accounts (FSAs).
401(k) with company match.
Employee Stock Purchase Plan.
Flexible Time Off.
Volunteer Time Off.
Paid holidays.
Family building and caregiving support.
Generous Family Care and Parental leave.
Fitness Reimbursement.
Access to wellness programs.
Employee Resource Groups.
Company-sponsored events.
Professional growth through educational support, mentorship programs, and career development resources.
Employee engagement programs and recognition awards.