Data Engineer. £50k + Benefits Package. Fully Remote / Home Based. Must be eligible to work in the UK. Permanent. T6/MN/18403.

International FMCG organisation is seeking to secure an experienced Data Engineer. The role will sit within a small Data Engineering, Applications & BI Team which is part of a much larger IT function.

Role:

Data Movement & Transformation processes between Application/Services/Solutions – SSIS, Azure Data Factory, Azure Databricks, other enterprise ETL Platform.
Involved in the complete Data/Business Intelligence development lifecycle.   
Implement end-to-end Data & Reporting solutions for internal teams.
Gather & define requirements – identify new opportunities for the business/internal teams.
Enterprise Data & Reporting related development – develop and present prototypes to the business.
Provide Reporting & Data support – Power BI.  
Provide governance & guidance on Data best practices. 
Liaison with all IT Business Systems teams, Business functions & Third Parties.

Technical Skills Required:

Design & Develop data solutions.
Data Acquisition, Movement & Transformation experience.
Azure BI Technologies – Azure Data Factory & Azure Data Bricks – desirable to have both.
SQL / SSIS / ETL – hands-on experience.
Power BI & Excel – Design, Deliver & Support BI Reporting solutions.
Data Warehouse Design, Development & Testing.
Data Modelling experience – ideally Kimball & Data Vault Design methodologies.
Design & Develop Master Data Entities – provide data quality guidance & best practices.  
Design & develop Data Integration processes between Applications & Business Systems.
Assess legacy reporting applications & provide suitable recommendations for upgrades.
Document all BI & ETL development, data structures & maintain the documentation.
Undertake & support IT Governance processes (License review etc).
Provide mentorship & development support to junior team members.
Customer Focused & Proactive approach.
Able to work effectively as part of a remote based team.
Collaborative approach to teamwork.
Excellent verbal & written communication skills.

Desirable Experience:

Migrating QliView to Power BI
QlikView – support experience.
Self-Service Cloud & Hybrid BI Solutions.
Data Management / Data Governance Practices.
Contractual Hours: Monday to Friday – 40 Hours Per Week – some flexibility regarding start time. 
Benefits Package: 31 Days Annual Leave – Including Bank Holidays / Contributory Pension / Store Discount / Well Being Programme / Cycle to Work Scheme.

Keywords: Data Engineer, Azure BI Technologies, Azure Data Factory, Azure Analysis Services & Functions, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, Excel, BI, SQL, T-SQL, ETL, SSIS. Data Engineer. Remote Working, Home Based, Permanent, T6/MN/18403