As a Practiv Data Engineer you will join a team of passionate data-cloud technologists who help deliver end to end data 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
- Good 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 (Amazon Web Services, Azure, and Google Cloud)
- 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.
Nice to Have
- Snowflake or Databricks experience and qualifications
- Experience with data visualisation tools such as Tableau, Power BI, or similar
- Experience with DevOps practices and tools
- Experience with Spark or other big data processing frameworks, with proficiency in utilising these tools to handle large datasets, perform complex transformations, and implement distributed computing solutions.
- Experience with streaming data solutions
- An understanding of what good data security practices entail
As a Senior Consultant (Data Engineering) you can already design and implement data pipelines, communicate with clients and take on responsibility for deliveries. You can help more junior engineers upskill and explain why something is good or bad practice.
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 space for innovation and good ideas
