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Data Engineer

Mars Food US, LLC

City Of London

On-site

GBP 50,000 - 70,000

Full time

Today
Be an early applicant

Job summary

A leading pet care company in London seeks a Data Engineer to enhance pet ownership experiences through data. Responsibilities include orchestrating data pipelines in a cloud environment, collaborating with teams on data models, and continuously learning new technologies. Ideal candidates should have experience with programming languages and a passion for innovative data solutions. Competitive salary and benefits offered.

Benefits

Best-in-class learning and development support
Competitive salary and benefits package
Dynamic work environment

Qualifications

  • Experience with building data pipeline/ETL/ELT solutions.
  • Interest in new technologies and learning.

Responsibilities

  • Orchestrate data flows & pipelines in a cloud environment.
  • Design and build complex data models.
  • Integrate data from various sources.

Skills

Experience in programming or data manipulation language
Experience processing and modelling data
Familiarity with Python, SQL, PySpark
Interest in data engineering and analytics

Tools

Databricks
Azure
PowerBI
Job description
Overview

At Mars Petcare we have one Purpose: A BETTER WORLD FOR PETS. Through comprehensive veterinary care, nutrition, breakthrough programmes in diagnostics, wearable health monitoring, DNA testing and pet welfare, we help pets in more than 130 countries.

Data and Analytics is foundational to our Petcare OGSM goal to transform the experience of pet ownership through digitalisation at scale. To deliver on this ambition we require the very highest level of technical / engineering expertise within Global Petcare Data & Analytics.

Must have
  • Experience in at least one programming or data manipulation language.

  • Experience in processing and modelling data from diverse sources

  • Familiarity with Python, SQL, PySpark, but more importantly, a willingness to learn is essential

  • Ability and strong desire to research and learn new technologies and languages

  • Interest in the contemporary data engineering and analytics landscape, the current tools, the latest approaches

Nice to have
  • Experience with Databricks, Delta Live Tables (DLT) or Data Build Tool (DBT)

  • Experience working in a cloud environment (Azure, AWS, GCP)

  • Experience in building data pipeline/ETL/ELT solutions

  • Experience working with consumer data in a real-time environment

  • Experience with data visualisation tools (e.g. PowerBI)

Personal traits
  • An authentic passion for our purpose of creating a better world for pets.

  • Good problem-solving skills and an eagerness to develop them further.

  • Eagerness to learn quickly and understand intricate datasets.

  • Can manage workload and stay calm under pressure.

  • Comfortable interacting with stakeholders.

  • Enjoys team participation and working collaboratively to continuously improve processes.

What will be your key responsibilities?
  • Be a part of the journey to unveil deep insights about pets and pet-owners using data. Every step you take enriches our understanding.

  • Get hands-on experience orchestrating data flows & pipelines in a cloud environment with a cutting-edge tech stack (Azure, Databricks, PySpark, SQL)

  • Learn to incorporate DevOps & CI/CD methodologies to collaborate on a growing platform

  • Partner with data scientists, analysts and technology partners, learning how to design and build complex data models for analytical and marketing use cases

  • Get hands on experience ingesting and integrating data from a large number of disparate data sources

  • Support in the development of high-quality code contributing to a platform which is scalable and easy to maintain

  • Enthusiastically evolve your technical skillset, engage in training and learn new technologies and techniques

What can you expect from Mars?
  • Work with diverse and talented Associates, all guided by the Five Principles.

  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

  • Best-in-class learning and development support from day one, including access to our in-house Mars University.

  • An industry competitive salary and benefits package, including company bonus.

#TBDDT

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