D&A Zone Data Engineering Lead

Danone; Barcelona; Presencial; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Zone Data Engineering Lead to foster collaboration and innovation among data engineers. This role emphasizes knowledge sharing, standardization of practices, and technical guidance, ensuring data engineering efforts are aligned for optimal business outcomes. The ideal candidate will have a strong background in data engineering, leadership experience, and a passion for mentoring. Join a forward-thinking company committed to sustainable practices and making a positive impact through data-driven decision-making. If you thrive in dynamic environments and are eager to contribute to innovative data strategies, this opportunity is perfect for you.

Formación

• 5+ years in data engineering with ETL tools expertise.
• 3+ years leading teams, familiar with Agile and DevOps.
• Proficient in Python, SQL, and data modeling.

Responsabilidades

• Facilitate workshops for knowledge sharing among data engineers.
• Define best practices and coding standards for data engineering.
• Provide technical guidance and mentorship to data engineers.

Conocimientos

Data Engineering

ETL Tools

Python

SQL

PySpark

Agile Methodologies

DevOps Practices

Problem-Solving

Analytical Skills

Communication

Educación

Master’s degree in Computer Science

Master’s degree in Engineering

Master’s degree in Statistics

Master’s degree in Information Technology

Master’s degree in Information Systems

Master’s degree in Computer Engineering

Herramientas

Azure

Descripción del empleo

Short Intro and About the Job

At Danone, we believe that every time we eat or drink, we vote for the world we want. As a leading food and beverage company, we make healthy, sustainably produced foods and beverages that nourish people’s lives. As the largest Certified B Corporation in the world, we are committed to redefining success in business to ensure that through our brands we create real benefits for people, our communities, and the planet.

In IT & Data, we inspire and empower Danone through the world of tech and data. Our mission is that our technology and data are strategic differentiators of Danone, powered by an agile IT & Data organisation.

As Zone Data Engineering Lead, you will create a cohesive and collaborative environment where data engineers can share knowledge, standardize practices, and drive innovation. By focusing on these areas, the Zone Lead Data Engineer helps ensure that data engineering efforts across the organization are aligned, efficient, and effective, ultimately contributing to better data-driven decision-making and business outcomes.

Key accountabilities, deliverables & KPIs, impact on business results

1. Accountable for knowledge sharing and collaboration:
   • Facilitate regular workshops, and discussions to share knowledge, tools, techniques, and best practices among data engineers.
   • Encourage collaboration on common challenges and innovations, fostering a community of practice.
2. Accountable for establishing standards and best Practices:
   • Define and document best practices and coding standards,
   • Ensure consistency in data engineering practices across squads or teams to maintain data quality and integrity.
3. Accountable for providing technical guidance and support:
   • Provide technical guidance and mentorship to data engineers, helping them solve complex problems and stay updated with the latest industry trends and technologies.
   • Offer support for critical capability issues and ensure best practices in data pipeline development, data warehousing, and data integration.
4. Responsible for tooling and technology Stack:
   • Evaluate and recommend tools and technologies that the organization should adopt for data engineering.
   • Standardize the technology stack used for data engineering tasks to streamline operations and reduce redundancy.
5. Responsible for internals development & externals evaluation:
   • Organize training sessions, certifications, and professional development opportunities to help data engineers enhance their skills and grow in their careers.
   • Promote a culture of continuous learning and improvement within the chapter.
   • Encourage experimentation with new techniques, and approaches to improve data engineering processes and outcomes.
   • Foster an environment where data engineers can innovate and contribute to the organization's data strategy.
6. Contribute to cross-functional collaboration:
   • Work closely with other chapters, such as those focused on data science, platform engineering, or data visualization, to ensure alignment and integration of data initiatives.

About You

Do not hesitate to apply if you have...

• 5+ years’ experience in data engineering, with in-depth knowledge of working with data integration and ETL tools.
• 3+ years' experience leading data engineering team, and you are familiar with Agile working methods, as well as DevOps practices and tools.
• Master’s degree in computer science, and/or Engineering, and/or Statistics, and/or Information Technology, and/or Information Systems, and/or Computer Engineering
• Technical Expertise: Proficiency in programming languages like Python, SQL and PySpark, experience with ETL processes, data modeling, and cloud platforms (e.g. Azure).
• Leadership and Collaboration Skills: Significant experience leading teams, mentoring junior engineers, and collaborating with stakeholders to align technical solutions with business needs.
• Problem-Solving and Strategic Thinking: Strong analytical skills to troubleshoot complex data issues, set strategic directions for data infrastructure, and implement scalable, secure solutions.
• Excellent communication and teamwork abilities
• Ability to clearly explain and justify ideas when faced with competing alternatives,
• Strong aptitude for learning new technologies.

About Us, We offer and What's next

And what’s next?If you have come this far you will have already convinced yourself... Apply!"At Danone we are 100% committed to guaranteeing bias-free selection processes and equal opportunities. For this we have trained all the people who participate in them. Because to work with us, what matters to us is what you can contribute and nothing else"