Data Engineering Team Lead

4 weken geleden


Amsterdam, Noord-Holland, Nederland Adyen Voltijd
About Adyen

Adyen is a leading financial technology platform that provides payments, data, and financial products to businesses like Facebook, Uber, H&M, and Microsoft. Our mission is to empower businesses to achieve their ambitions faster.

Job Description

We are seeking a highly experienced and technical Team Lead to scale our Analytics Engineering team. As a Team Lead, you will be responsible for leading a team of data engineers and data analysts, working closely with other analytic teams and business counterparts. Your primary goal will be to build core data foundations to enable a holistic understanding of complex data, driving business growth and innovation.

Key Responsibilities
  • Lead, mentor, and inspire a high-performing team of analytics engineers and data analysts.
  • Collaborate with stakeholders to define strategic goals and objectives for analytics initiatives, breaking them down into engineering roadmaps.
  • Oversee the planning, execution, and delivery of analytics projects, ensuring adherence to timelines and quality standards.
  • Design, implement, and optimize data pipelines, data marts, and automated analytics outputs.
  • Lead the development and implementation of advanced analytical models, algorithms, and statistical techniques to extract meaningful insights from large datasets.
  • Collaborate with analytics teams to drive value through data, enabling actionable insights that drive data-driven decision-making.
  • Stay abreast of emerging trends, tools, and methodologies in the field of engineering and analytics.
  • Evaluate and recommend appropriate tools and platforms to enhance the efficiency and effectiveness of analytics processes.
  • Collaborate with cross-functional teams to understand business requirements and priorities.
Requirements
  • 5+ years of experience leading a high-performing analytics engineering team.
  • Experience working with cross-functional teams, managing multiple stakeholders and priorities within a complex, large organization.
  • Excellent business acumen, understanding the role data plays in driving business growth.
  • User-centric approach, understanding the importance of data accuracy, quality, documentation, automation, and scaling.
  • Vast experience in data engineering, highly competent in programming languages (Python, SQL), data modeling techniques, and best software engineering practices.
  • Experience working with large volumes of data in distributed computing systems (Spark, Hadoop).
  • Strong project management skills to plan and execute projects from discovery to maintenance effectively.
  • Impact-oriented, able to prioritize tasks and projects based on transparent methodologies.
  • Experience with data visualization platforms (e.g., Tableau, Looker), including performance optimizations.
  • Excellent verbal and written communication skills, comfortable talking to tech and non-tech audiences.
About Data Positions at Adyen

We have categorized and defined all our data-related positions to ensure clarity and consistency. Please visit our website to learn more about our data positions and how you can contribute to our mission.


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