Senior Data Analyst - SQL / PYTHON / FABRIC
Prize Placements are currently working alongside a global leader who is looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. We are looking for an experienced engineer who can drive the automated data pipeline development process, starting from requirements gathering, data extraction & loading, through to data modelling, reporting, and ultimately supporting the business. Are you the right applicant for this opportunity Find out by reading through the role overview below. Work with the Engineering Operations team to understand and define their data pipeline requirements for their new data projects
Collaborate with the wider Engineering teams to understand existing data ingestion and design suitable methods for extraction
Design and implement the necessary data pipelines within a modern data stack; including the data extraction and load steps, data model, data warehouse, and analytics environments
Solve new data related problems and drive improvements to ways of working within the Data Analytics team
Deliver data reporting and visualisations to the business.
Help and support the business using your products to continuously improve the teams' deliverables Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data
Proficiency in SQL and Python, along with MS Fabric
A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau
Excellent xehkeey communication skills
You might also have:
Familiarity with DevOps style data model development through packages such as DBT
Familiarity with commonly used cloud based infrastructures such as Snowflake, Microsoft Azure etc.
A good understanding of version control systems such as Git or Perforce Excellent Benefits Package - Work From Home, 25 Days Holiday, 20% Bonus and lots more If this sounds of interest, please contact Lee Smith at Prize Placements
Collaborate with the wider Engineering teams to understand existing data ingestion and design suitable methods for extraction
Design and implement the necessary data pipelines within a modern data stack; including the data extraction and load steps, data model, data warehouse, and analytics environments
Solve new data related problems and drive improvements to ways of working within the Data Analytics team
Deliver data reporting and visualisations to the business.
Help and support the business using your products to continuously improve the teams' deliverables Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data
Proficiency in SQL and Python, along with MS Fabric
A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau
Excellent xehkeey communication skills
You might also have:
Familiarity with DevOps style data model development through packages such as DBT
Familiarity with commonly used cloud based infrastructures such as Snowflake, Microsoft Azure etc.
A good understanding of version control systems such as Git or Perforce Excellent Benefits Package - Work From Home, 25 Days Holiday, 20% Bonus and lots more If this sounds of interest, please contact Lee Smith at Prize Placements