Data Analytics Engineer

hace 2 semanas

Barcelona, Barcelona, España Glovo A tiempo completo

Data Analytics Engineer - Operations (They, She, He)
If you're here, it's because you're looking for an exciting ride. A ride that will fuel your ambitions and make a difference in people's lives. At Glovo, we believe in paving the way forward together

Not your usual app. We are the fastest-growing multi-category delivery player in Europe, Africa, and Western Asia, where we operate in +3000 cities across 25 countries. Every year, +200k merchants generate over 4B€ in sales and over 20M customers get their goods delivered in minutes.


Together we revolutionize the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology.

For us, every day is filled with purpose.

What makes our ride unique?

Our culture and strong values.

  • We have an ''officefirst'' culture and we place collaboration at the center of everything we do
  • We have a nonvanilla personality and feedback mindset. We don't shy away from difficult conversations we see them as a gift
  • We work with high intensity and have fun along the way. We also celebrate the wins (a lot).
  • We celebrate diversity in all its forms and foster an inclusive culture where everyone can bring their authentic selves to work.

Our career development philosophy.

  • We are building a talent house of high performing teams and leaders. We invest in people who raise the bar and help others reach their full potential.
  • We take ownership of our career development. We don't believe in linear and predictable career paths we create the job of our dreams
  • We embrace opportunities to move the needle and make an impact beyond our scope.

Our commitment to being a force for good.

  • Our platform is an important economic tool for millions of people (customers, partners, couriers) and we are taking action to amplify our positive impact.
  • We invest in doing good by dedicating time and resources into social and environmental initiatives.
  • We have the ambition of being DIB role models across the tech industry. We are creating environments, systems, and processes that provide equal opportunities, break biases, and empower our communities.

We have a vision
:
To give everyone easy access to anything in their cities. And this is where your ride starts.

YOUR MISSION


Join our Operations Data team in the contact cluster and take the key role in enabling this highly impactful domain to enable high quality support for our customer, couriers and partners.

You will be creating and enhancing core Data Products (DPs) used across Business Analytics, Product and Data Science teams, as well as driving data governance and best practices.

You will collaborate closely with these teams to understand and meet data needs, focusing on unlocking potential value from data.

Your ultimate mission will be to drive significant impact through improved decision-making, increased efficiency, and the development of data-driven solutions.


THE JOURNEY

  • Design and develop robust and efficient data pipelines in AWS, optimizing for scale and cost efficiency.
  • Leverage Python, Pyspark,dbt and AWS tools to manage and process data effectively.
  • Work closely with the software engineering team to develop and implement eventdriven architectures.
  • Implement workflow orchestration solutions using tools like Airflow.
  • Drive best practices in code and ensure high standards for data modelling, data reliability, efficiency, and quality.
  • Collaborate with different stakeholders, understanding their data needs and ensuring the data infrastructure supports business growth and decisions.
  • Embrace DevOps principles, ensuring seamless CI/CD integrations using tools like GHA and Terraform.
  • Provide guidance, mentorship, and training for junior Data Engineers.
  • Continuous learning, staying updated with the latest in technology, and being a proactive contributor to the team's knowledge pool.

WHAT YOU WILL BRING TO THE RIDE

Requirements:

  • Proficiency with SQL,data modeling and best coding practices.
  • Experience with cloud technologies like GCP or AWS
  • Experience with Pyspark, with a strong foundation in Python.
  • Experience working with events data processing
  • Handson experience with DBT and Airflow.
  • Basic knowledge of DevOps principles, including CI/CD, GHA, and Terraform.
  • Quick to learn and adaptable, eager for new challenges and technologies.
  • Ability to communicate effectively, both written and spoken, in English.

Nice to have:

  • Experience with Looker, and other visualization tools.
  • Strong analytical skills
  • Experience with test automation (data testing, unit and system integration testing)
  • Experience building data products in a Data Mesh architecture

We believe driven talent deserves:

  • An enticing equity plan that lets you own a piece of the action.
  • Topnotch private health insurance to keep you at your peak.
  • Monthly Glovo credit to satisfy

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