Data Engineer

3 weeks ago

Birmingham, Birmingham, United Kingdom Digital Waffle Full time

Job Title: Data Engineer - Azure, Python, SQL

Job Summary:

At Digital Waffle, we are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable, user-friendly, and automated systems, data solutions, and reporting that will support our analytical and business needs.

Key Responsibilities:

  • Work across the group and with the divisions data partners to leverage all available data, building out the groups database, reporting, and insights capabilities to enable data-led decision making.
  • Design, develop, and maintain scalable, user-friendly, and automated systems, data solutions, and reporting that will support our analytical and business needs.
  • Support the insight team with visualisations, reporting, and stakeholder engagement through monthly/quarterly/annual departmental reviews.
  • Use data science/statistical modelling tools in collaboration with the analyst team and departmental stakeholders to develop Artificial Intelligence (AI) and Machine Learning (ML) functions and analytics.
  • Create and manage a knowledge-base, including documentation of your designs (e.g., system design, functional design, data flow design) ensuring there is version control and contingency processes for all aspects.

Requirements:

  • Demonstrable experience or certification(s) within the field of data engineering, data science, and/or business analysis.
  • Practical experience of database design and data transformation, supported by ETL processing.
  • Managing data pipelines & orchestration that enable the transfer and processing of data. (Databricks, Microsoft Fabric, Alteryx, Snowflake, Apache)
  • Coding and programming, capable of working through complex problems with others from the team, adapting quickly to changing market trends and business needs. (SQL, Python or R)
  • Utilising cloud-based services and corresponding toolsets. (Microsoft Azure, GCP, AWS or similar).
  • Comfortable handling structured and unstructured data, from 1st, 2nd, and 3rd party data sources, combining multiple data sets, to produce a cohesive picture of performance and derive insights and recommendations.
  • Experience working directly with business stakeholders ensuring complex information is articulated in a meaningful way.

How to Apply:

If you feel you have the required skills and experience and want to be considered for this opportunity, please forward an up-to-date version of your CV. If we feel your profile is a suitable match, someone will contact you within 48 hours.

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