Azure Data Engineer
Lynx Recruitment Limited
Location:
Hybrid - London Salary:
Up to £60,000 We're working with a growing technology consultancy looking for an experienced
Data Engineer
to design and deliver modern Azure-based data solutions for a range of enterprise clients. This is a customer-facing role where you'll work closely with clients to build scalable, secure data platforms while collaborating with a talented engineering team. You'll also have the opportunity to mentor junior engineers and progress into technical architecture or leadership roles. Key Responsibilities Design, develop and maintain data pipelines using
Azure Data Factory
and
Azure Databricks . Build data models and analytics solutions using
Synapse Analytics
and
Azure Data Lake Storage . Develop and optimise ETL/ELT processes. Work directly with clients to understand requirements and deliver robust data solutions. Troubleshoot data issues and ensure solutions are secure, scalable and high performing. Mentor junior engineers and contribute to technical best practices. About You You'll have: Strong experience with
Microsoft Azure Data Engineering . Hands-on expertise with
Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in
Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem-solving skills.
TPBN1_UKTJ
Hybrid - London Salary:
Up to £60,000 We're working with a growing technology consultancy looking for an experienced
Data Engineer
to design and deliver modern Azure-based data solutions for a range of enterprise clients. This is a customer-facing role where you'll work closely with clients to build scalable, secure data platforms while collaborating with a talented engineering team. You'll also have the opportunity to mentor junior engineers and progress into technical architecture or leadership roles. Key Responsibilities Design, develop and maintain data pipelines using
Azure Data Factory
and
Azure Databricks . Build data models and analytics solutions using
Synapse Analytics
and
Azure Data Lake Storage . Develop and optimise ETL/ELT processes. Work directly with clients to understand requirements and deliver robust data solutions. Troubleshoot data issues and ensure solutions are secure, scalable and high performing. Mentor junior engineers and contribute to technical best practices. About You You'll have: Strong experience with
Microsoft Azure Data Engineering . Hands-on expertise with
Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in
Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem-solving skills.
TPBN1_UKTJ
Reference: WJ-799_32735977