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Data Engineer

Data Engineer

MarsLondon Area, United Kingdom, United Kingdom
30+ days ago
Job type
  • Full-time
Job description

Mars Petcare consists of five Divisions : Pet Nutrition, Royal Canin, Mars Veterinary Health & Diagnostics and Kinship. The Pet Nutrition division is currently embarking on a 3-year Digital Transformational program that aims to digitize Mars irreversibly.

As part of our Pet Nutrition digital first strategy, our purpose is to establish strong Digital & Data Foundations (DDF) for PN products through transversal foundational technology & data capabilities that enable the creation of scalable fit-for-purpose solutions, deliver superior propositions and fuel integrated supply chain, with Increased agility and reduced cost. Some of the key deliverables we will look to unlock are :

  • From siloed, small-scale product performance evaluation to a fully Integrated, data driven performance assessment through real-time predictive solutions; maximizing capability and reducing evaluation time & cost by building confidence to drive superior propositions across the portfolio.
  • From traditional Innovation and scale-up protocols to innovative digital modelling which enables rapid scenario evaluation, accelerated development and scale-up, with increased agility and reduced costs / resources.
  • From dispersed physical quality records to digitalized quality standards, capturing of data and trend predictions, which can be leveraged in order to proactively mitigate emerging risks and avoid non-quality Impacts.
  • From fragmented legacy IT systems holding unreliable data to an integrated R&D and SUPPLY digital & data ecosystem with respective sub-domains to enact step-change operational efficiency and maximize business value by confidently utilizing trustworthy data.

What are we looking for?

  • Great experience as a Data Engineer
  • Experience with Spark, Databricks, or similar data processing tools.
  • Proficiency in working with the cloud environment and various software’s including SQL Server, Hadoop, and NoSQL databases.
  • Proficiency in Python (or similar), SQL and Spark.
  • Proven ability to develop data pipelines (ETL / ELT).
  • Strong inclination to learn and adapt to new technologies and languages.
  • Strong understanding and experience in working with Databricks Delta Lake.
  • Proficiency in Microsoft Azure cloud technologies
  • Strong inclination to learn and adapt to new technologies and languages.

    • What will be your key responsibilities?

  • Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights.
  • Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL.
  • Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs.
  • Support the implementation of DevOps and CI / CD methodologies to foster agile collaboration and contribute to building robust data solutions.
  • Collaborate with the team to learn and apply the best practices in data engineering.
  • Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas.
  • Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members.
  • Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions.
  • Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence.

    • 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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