Senior Data Engineer

2 weeks ago


London, UK, United Kingdom Silicon Logic UK Ltd. Full time

Location: London, Must have SC Clearance Certificate

Mode: Hybrid

Salary: Competitive


Overview: We are seeking a talented Data Engineer with expertise in Azure to join our team. The ideal candidate will be responsible for developing data pipelines, building and maintaining data warehouses and data lakes, implementing data integration and transformation solutions, ensuring data quality and integrity, and optimizing data performance.


Responsibilities:

Proven track record in the development and management of an Azure cloud-based data & analytics platform.

• Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes.

• Profound understanding of best practices in data governance, privacy, and quality.

• Exceptional skills in communication, leadership, and team management.

• Capability to handle multiple tasks, meet stringent deadlines, and deliver top-notch solutions.

• Solid grasp of contemporary data architecture concepts and experience in data modelling.

• Familiarity with the costs associated with data management, including CI/CD driven processes.

• Prior experience in Agile methodologies and project management.

• Ability to comprehend the effects of business rule modifications on data.

• Robust problem-solving, decision-making, and analytical abilities.

• Self-motivated with a commitment to continual enhancement of data platforms and processes.

• Previous experience in the Banking and Financial Services sector is advantageous.

• Deep knowledge or experience with using as much of the following:

  • Azure Cloud Data Components | Databricks | Python | PySpark | Terraform | APIs | Lakehouse | Data Mesh | Nosql DBs | GitHub.


Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer with a focus on Azure technologies.
  • Strong proficiency in developing data pipelines using Azure Data Factory, Azure Databricks, or similar tools.
  • Experience in building and maintaining data warehouses and data lakes on Azure, utilizing services such as Azure Synapse Analytics, Azure Data Lake Storage, etc.
  • Expertise in implementing data integration and transformation solutions using Azure services like Azure Data Factory, Azure Logic Apps, etc.
  • Familiarity with data quality management concepts and techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Azure certification(s) such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
  • Experience with other cloud platforms such as AWS or Google Cloud Platform.
  • Knowledge of big data technologies such as Hadoop, Spark, etc.

If you are passionate about leveraging Azure technologies to drive data-driven insights and solutions, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data engineering with Azure


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