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AI has made it easier than ever to build the wrong thing faster. The value of a good consultant hasn't changed: knowing what's actually worth building, getting buy-in from people who'll use it, and making decisions that hold up when requirements shift. Tools change. That doesn't.
As a Practiv Data Engineer you will join a team of passionate Data Cloud & AI technologists who help deliver end to end technology solutions for our customers from building data pipelines, data warehousing, Machine Learning and AI and visualisation. You will work in a small team with a broad range of responsibilities and projects.
Requirements
Essential Skills
- Strong understanding of data concepts, including data modelling, data warehousing, and ETL processes, with the ability to design and implement complex data pipelines efficiently
- Experience working with clients, this can be external as a consultant or internal working with other areas of your organisation
- Experience with data services on any or all cloud platforms (e.g. Google Cloud, Databricks or Snowflake)
- Relevant coding experience in languages such as Python and SQL or Spark with a strong ability to write clean, efficient, and scalable code for data manipulation and system integration
- Snowflake experience and qualifications is a bonus!
- Experience with data visualisation tools such as Tableau, Power BI, or similar
- Experience with DevOps practices and tools
- An understanding of what good data security practices entail
If you think you are a good fit and have unique skills that make you a valuable team member we encourage applications even if you don't tick all the boxes, please reach out with your application. We are a growing organisation with a lot of space for innovation and good ideas. Not essential but we love a 100 word summary of why you're right for this role. Be yourself !!!
Key Skills
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