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Sr. Manager, Data Engineering
hace 3 meses
ABOUT THE ROLE AND OUR TEAM:
The Knot Worldwide's Data team is looking for a hands-on, highly motivated, highly energetic team player with a strong analytical mindset to join as a Senior Manager of Data Engineering supporting end-to-end analytics & reporting needs for our business, leading a team of Data Engineers.
This role will be partnering closely with our stakeholders and also with other Data teams to develop data models, pipelines, and data-driven solutions that enable deep analysis for our Business Domains (Product, Marketing, and Revenue) and supporting AI/ML initiatives led by our Data Science team.
We see the Senior Manager of Data Engineering as a hybrid role that combines elements of data engineering, business intelligence, and data analysis.
You will be responsible for mentoring a team of data engineers, building (leading) end-to-end data pipelines using tools like dbt, Airbyte, Airflow, Snowflake, and other modern data stack components.
This role requires proficiency in SQL, python, data modeling, and data transformation, but also leadership, collaboration skills and business acumen as they play a crucial role in enabling data-driven decision-making within our organization.
This position is based out of The Knot Worldwide's office in Barcelona in a hybrid working setup but open to fully remote in Spain for the right candidate.
RESPONSIBILITIES:
Lead and mentor a team of data engineers, playing a hands on role to design, build, and maintain end-to-end data pipelines that collect, process, and analyze large datasets, including but not limited to, behavioral tracking, customer profiles, financial & e-commerce transactions, CRM, and advertisingParticipate in overall architecture and strategy for deploying our end-to-end data pipelines and adhering to best practices supporting our CI/CD processes in an agile environmentWork closely with senior management to define the data engineering strategy, aligning it with the overall business objectives and technological roadmapDevelop and implement data models for optimal storage, retrieval and analysis of dataCollaborate with DevOps and infrastructure teams to deploy and manage data platforms and services in cloud environments (AWS & Snowflake)Optimize and tune database queries and data processing workflows for performance and efficiencyFoster data governance practices, ensuring data privacy, security & compliance, and documenting data pipelines, transformations, and modelsCollaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needsResearch and evaluate new technologies and tools to enhance the data engineering infrastructureParticipate in code reviews, documentation, and knowledge-sharing activities
SUCCESSFUL CANDIDATES HAVE:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field5+ years of experience holding crucial roles in leading a team of data engineers to architect, design, develop, and maintain scalable and reliable data infrastructure and pipelines while providing guidance, coaching, and support to ensure their professional growth and development.
7+ years experience including design, development, data management, administration, and support building data models with recent experience working with dbt and Snowflake5+ years experience in data integration & orchestration using Airbyte & Airflow or similar toolsSolid understanding of modern data engineering and architecture concepts and practices including deep knowledge of data warehousing, data pipelines, data marts, and data integration techniques and toolsAdvanced proficiency using SQL developing dimensional models supporting EDW and modern data architecture approaches such as Data Lake/LakehouseProficiency using Git, GitHub and PythonExperience using data from Salesforce, Segment & GA is a plusMust be self-motivated and able to work both independently and with othersPositive attitude and ability to receive and provide objective and constructive feedbackStrong organizational and troubleshooting skills with attention to detail, and curiosity to detect and explain data anomaliesExcellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholdersBENEFITS &PERKS:
Private Health Insurance paid by the CompanySubsidies and grants in training and English coursesFlexible working hoursTax relief options for Ticket Restaurant, Ticket Transportation, and DaycareTickets restaurantUdemy coursesLife insuranceGym discounts
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