Data Engineer

Sellick Partnership
Wigan, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 80K

Job location

Remote
Wigan, United Kingdom

Tech stack

Amazon Web Services (AWS)
Azure
Cloud Computing
DevOps
Query Optimization
Raw Data
Power BI
Azure
Build Management
Data Lake
Microsoft Business Central
Data Analytics
Data Pipelines

Job description

  • Lead on data-driven projects ensuring effective project management and delivery on time
  • Design and build a scalable, modern cloud-based data platform, including data lake, data ingestion pipelines, transformation, and data modelling
  • Evaluate current data setup to identify gaps and improvements, optimising or rebuilding the data and analytics infrastructure as needed
  • Ensure that data analytics, governance, and architecture practices are scalable and robust
  • Establish raw data flows that support operational and reporting insight

Technologies:

  • AWS
  • Azure
  • Cloud
  • DAX
  • Support
  • Power BI
  • DevOps

Requirements

  • Proven experience in a Data Engineer/strategic data role
  • Strong working knowledge of Query Optimisation, DAX, Power BI
  • Hands-on experience with either Amazon AWS or Azure data platforms, Business Central experience is beneficial
  • Experience integrating multiple systems into a central cloud-based data platform
  • Excellent technical documentation skills
  • Excellent communication skills, with the ability to bring new ideas, challenge when needed, and collaborate

Benefits & conditions

We are a growing manufacturing organization and a market leader in our field for over 40 years, with a strong UK and European presence. This newly created role for a Data Engineer offers a competitive salary of £70,000 to £80,000 plus an annual bonus scheme of up to 10%. We embrace hybrid working, typically allowing 2 days of work from home. This is an excellent opportunity to take up a pivotal role in designing and implementing our cloud-based data infrastructure.

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