Data Engineer

BI Engineer (Azure, Python, SQL)

Location: Birmingham (4 days a week on-site)
Salary: £45k - £48k

Opportunity

A fantastic opportunity has come up to work for a genuine market leader in an exciting and innovative industry. They plan to build a newly created BI and Data Engineering division to work alongside other Data and Analytics teams across the group.

For this role, they need someone to serve as a central resource from within their Strategy and Analytics department, also working with, but not exclusive to, the Commercial, Finance, and Operational business functions, to help advance the group’s data infrastructure and support in transforming data into actionable insights and triggered events for Business Intelligence (BI) and Customer Relationship Management (CRM) system purposes.

This role will be instrumental in leveraging data to ensure a fully integrated approach to data-driven decision-making and also business strategy.

Day-to-day tasks

Work across the group and with the divisions' data partners to leverage all available data, building out the group's 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.

Required skills and experience for the role

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.

Applying for the opportunity

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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