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Mars

Data Engineer

Posted 4 Days Ago
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London, England
Entry level
London, England
Entry level
The Data Engineer will design and build data flows and pipelines in a cloud environment, process and integrate data from various sources, develop complex data models for analytics, and support analysts and technology partners with their requirements. The role emphasizes collaboration and continuous learning in a fast-paced environment.
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Job Description:

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 set by this OGSM we require the very highest level of technical / engineering expertise within Global Petcare Data & Analytics. There is a need to expand this high performing team of creative, skilled individuals – to help build out new capabilities and bring fresh ideas to the table, particularly around real-time consumer data to feed marketing use cases.Key Responsibilities:

  • Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask
  • Ingest and integrate data from a large number of disparate data sources
  • Design and build complex data models for analytical and marketing use cases
  • Write high quality code contributing to a platform which is scalable and easy to maintain
  • Work closely with analysts, data scientists and technology partners to understand their requirements
  • Exercise fluid communication with your team of data engineers
  • Adopt DevOps & CI/CD methodologies to collaborate on a growing platform
  • Enthusiastically evolve your technical skillset, engage in training and learn new technologies and techniques
  • Tackle challenging project tasks demonstrating ownership and responsibility

Skills Required:

  • Experience in processing data using Spark / Databricks or similar
  • Experience working in a cloud environment (Azure, AWS, GCP) ·
  • Experience in at least one of: Python (or similar), SQL, PySpark ·
  • Experience in building data pipeline/ETL/ELT solutions
  • 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:

  • Highly advantageous - Experience with consumer data In a real-time environment
  • Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions, ADF, Azure Event Hub ·
  • Advantageous - Experience with Delta Live Tables (DLT) or Data Build Tool (DBT) ·
  • Advantageous - Delta Lake storage layer ·
  • Advantageous - Neo4J / Cypher

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

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Top Skills

Python
SQL

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