Data Engineer

Full Time
Posted 7 months ago


As a data engineer specialising in data technology you’ll work in the data engineering team on the design and implementation of data solutions for our customers.

  • You have a background in data engineering or a related area
  • You have a strong interest and passion for all things data related
  • You are comfortable talking with stakeholders and communicating complex solutions clearly and concisely
  • You are driven to developing high quality solutions
  • You are a motivated, self-learner who can work with a degree of autonomy when needed 


  • Collaborate with data scientists and other data-engineers on data problems
  • Work on-site with senior data engineers, scientists and customers to understand their data problems, identify needs and develop solutions;
  • Work on data integration solutions using a wide array of technologies and data-sources
  • Work with big data components and migration strategies
  • Work with cloud based infrastructure (AWS, Azure and Google) for hosting data solutions/applications. 



  • Experience developing ETL and data integration solutions
  • Strong SQL skills and experience working with a relational database (MySQL, Postgres, MySQL, Oracle etc…)
  • Experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools
  • Experience with a general purpose programming language, 3+ years experience one of (Python a plus, JVM languages, JS, Ruby)
  • Working with Linux or Windows operating systems and version control systems (Git) (3+ years)


  • Experience with migrating on premise data stores to cloud based data stores (Hadoop cloud distros a plus)
  • Experience with various ETL strategies and architectures
  • Hands-on experience with cloud environments (AWS preferred)
  • Experience of data security, data governance and quality assessment
  • Building API’s and apps using Python/JS or an alternative language
  • Knowledge of Hadoop technology (Map-reduce, HDFS, Hive)
  • Experience with non-relational database solution (e.g. MongoDB, Google BigQuery)
  • Experience with AWS data pipeline, Azure data factory or Google Cloud Dataflow;
  • Working with containerisation technologies (Docker, Kubernetes etc…)
  • Knowledge of R and statistical languages
  • Ability to fly or drive to client sites including international travel.

This is a UK-based role at Mango Head Office in Chippenham or our London office. Applicants must have the right to work in the EU.

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Mango Solutions have been empowering organisations to make informed decisions using data science and advanced analytics since 2002.
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