Data Engineer

We are seeking an experienced Azure Data Solutions Developer to join a dynamic team delivering large-scale digital and data solutions. This is an exciting opportunity to work on a transformative cloud-hosted application for a major Version 1 customer. The ideal candidate will have a strong background in implementing data ingestion and transformation pipelines for enterprise-level organizations, with deep technical expertise across various Microsoft Azure services.

• Design and deliver scalable data solutions using Azure Data services.

• Develop and implement data ingestion and transformation pipelines for large-scale environments.

• Build data solutions using a wide range of tools and Azure services.

• Collaborate on proof-of-concept development and production implementation.

• Meet tight project deadlines while delivering high-quality solutions.

• Translate business requirements into technical solutions with a focus on data quality and performance.

• 4-8 years of hands-on experience designing and delivering data solutions using:

• Azure Data Factory

• Azure SQL Database

• Azure Synapse Analytics

• Azure Data Lake

• Expertise in writing and optimizing SQL, stored procedures, and views. Strong ability to analyze query performance, use partitioning, and apply clustering techniques.

• Hands-on experience with Power BI or other BI platforms such as Tableau or Qlik Sense.

• Proven experience building data solutions using ETL/ELT tools like:

• SQL Server Integration Services (SSIS)

• Oracle Data Integrator (ODI)

• Talend

• Direct experience in building data pipelines using Azure Data Factory.

• Strong knowledge of data management best practices, including data profiling, sourcing, and cleansing routines.

• Advanced experience with RDBMS, including complex stored procedures, functions, query optimization, and indexing strategies.

• Proven ability to coach and mentor novice developers.

• Excellent problem-solving and data analysis skills.

• Strong communication skills, both written and oral, to articulate complex concepts effectively.

• Full project lifecycle experience, from concept to deployment and support.

• Programming experience, particularly in Python.

• Experience working with offshore teams.

• Consultancy experience.

• Familiarity with Agile/Scrum methodologies.