TMP Worldwide · Jan 8th 2021
TMP Data Engineering is seeking a Data Engineer to support building new data products and services.
TMP Data Engineering works on data services across product organizations within TMP, and supports building a customer-facing data visualization product. The Data Engineering team supports an enterprise-grade recruitment platform focusing on talent acquisition and job opportunity exploration.
The team has extensive experience in ETL development, works with large scale data in real-time, and cross collaborates with other engineering teams across the organization.
About the Job
Build and maintain ETL pipelines utilizing Python that connect 1st and 3rd party data
Work with Cloud Computing Platforms (GCP/AWS), Luigi, Kafka and other open-source technologies
Conduct data modeling, schema design, and SQL development
Ingest and aggregate data from both internal and external data sources to build our world-class datasets
Develop and lead the testing and fixing of new or enhanced solutions for data products and reports, including automating ETL testing
Collaborate with Product Owner and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Assist with the development and review of technical and end-user documentation including ETL workflows, research, and data analysis
Work with the Product team to define data collection and engineering frameworks
Build monitoring dashboards and automate data quality testing
Responsible for daily integrity checks, performing deployments and releases
Own meaningful parts of our service, have an impact, grow with the company
Desired Technical Qualifications
2+ years of Python, SQL, and ETL development
Bachelors or Masters degree in Computer Science or other related fields
Product/reporting suite experience
Familiarity with C#, .Net, Kafka, Docker
Exposure / familiarity with Google Cloud Platform / BigQuery / Amazon Redshift
AdTech experience preferred
Enthusiastic about working with and exploring new data sets
Detail-oriented and strong communicator
Flexible Location (Remote Hubs):
Berlin, Germany | Lisbon, Portugal | London, England | Paris, France | USA
We are an equal opportunity employer and welcome all qualified applicants regardless of race, ethnicity, religion, gender, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We actively work to create an inclusive environment where all of our employees can thrive.