Engineering Delivery Lead
Estée Lauder Companies
Bucharest, Bucuresti, Romania
5 zile în urmă

The Engineering Delivery Lead, Director will lead our data engineering capability in ELC’s Eastern European Center, located in Bucharest.

This key role will oversee the team responsible for ensuring the development and delivery of reusable data pipelines and data products across a variety of projects within the organization, helping ELC to become a more data-driven organization.

S / he will ensure the data and analytics engineering EEC team is operating effectively, focused on correct priorities, assist in hiring, and talent evaluation.

S / he will assist and support in the strategy, design, build, and enhancements to data pipelines, data models, aggregations, and data as a service within our cloud native environment.

The candidate will work within a virtual global team partnering with key leadership to build and manage a high performing team of data professionals.

While software development is at the core, the role will also actively influence the data platform strategy, explore new technologies and capabilities to be added to ELC’s data platform, and have team management responsibilities.

Responsibilities :

  • Collaborate with key cross functional stakeholders (product teams, data analysts, data scientists, etc.) to design solutions that drive business outcomes across the organization
  • Design, build and deploy optimized, sustainable data pipelines and data products leveraging ELC best practices and development frameworks
  • Design, build and improve common libraries and services across the data lake ecosystem of services in areas such as application frameworks, pipeline controls, error handlers, encryption and security, monitoring etc.
  • Troubleshoot and resolve performance bottlenecks of python-based transformations, APIs; analyze and design solutions to resolve compute spikes, scaling issues etc.
  • Manage delivery across multiple concurrent project initiatives; ability to adjust prioritization according to business needs by applying principles of agile
  • Define and evolve best practices, standards and guidelines; assist in rolling out Continuous Integrations and Delivery methodology
  • Collaborate with project teams on coordinating rollouts, participate in go-live planning and support of live data products
  • Coach data engineers on best practices and technical concepts behind large-scale data platforms; foster a culture of collaboration, teamwork, quality and innovation
  • Motivate, mentors and ensure team building and culture as well as trainings and personal development of the Data and Analytics team within the Bucharest Hub
  • Qualifications

    Functional Capabilities :

  • Strong problem solver : takes a first principles approach to a problem and can abstract to design tools, services, libraries that will benefit the data engineering function as a whole
  • Strong communications skills to collaborate with the virtual global team around data products, solution and business requirements
  • Team player : enjoys problem solving and collaborating in a team environment, actively fosters knowledge sharing, guides junior resources
  • Has a broad understanding of analytics across a global enterprise across all major process areas (Supply Chain, Finance, Marketing, R&D etc.)
  • Results-driven sets aggressive goals and delivers through the team
  • Pragmatic approach to deliver incremental value to the organization
  • Innovation : genuine excitement about technology and desire to keep abreast with the latest developments in area of expertise
  • Technical Competencies :

  • Developer mindset : builds reusable, sustainable, modularized data pipelines of high quality, in accordance with best practices, standards & guidelines
  • Deep architectural understanding of Data Lake, Data Warehousing, ETL and ELT processes
  • Expertise in Azure Platform as a Service (PaaS) including Azure Data Factory, blob storage, ADLS Gen 2, Azure Web Apps, Redis Cache, Microsoft SQL Server, Databricks, Delta tables and py-spark, EventHubs / Kafka
  • Expertise in Software Development Life Cycle and associated processes in a large corporate environment
  • Experience in Machine Learning (ML), in particular in conjunction with Azure PaaS (ML Workspace, Cognitive Services etc.)
  • Understanding of data visualization tools such as Tableau, PowerBI, Business Objects
  • Experience in Agile planning and execution with use of tools such as JIRA, Confluence, etc
  • Experience in DevOps and CI / CD frameworks preferred
  • Leadership Skills :

  • Proven ability to attract, retain, manage, motivate, and develop talent from diverse backgrounds, skill sets, and experience levels
  • Experience mentoring and leading team members, providing both long-term vision and day-to-day guidance.
  • Proven experience managing or working with cross functional teams in mid-to-large scale, complicated projects.
  • Collaborates and communicates with multiple stakeholders, encouraging creativity when problem-solving and leveraging best practices, as appropriate.
  • Authentic and transparent. Understands when to escalate risks and issues.

  • Experience working with international teams
  • Recognizes and celebrates success
  • ELCDigitalCenterBucharest

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