Title: Azure Sr Data Engineer

Location: London

Permanent

Hybrid working

Responsibilities

Provide partnership and support to SME’s and Tech Leads to ensure delivery on commitments

•Build and maintain secure and compliant production data processing pipelines by using different tools and techniques (cloud services, Python/Scala)

•Ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss.

•Design, implement, monitor, and optimize data platforms to meet the data pipelines needs.

•Design and implement data engineering, ingestion, and curation functions on Azure cloud using Azure native or custom programming. Create data transformation and loading workflows.

•Responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming, and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

•Design and operationalize large scale enterprise data solutions and applications using one or more Azure data and analytics services.

•Implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage, Microsoft Purview etc.

•Responsible for integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.

Skills and experience

•Depending on seniority relevant experience in Data Platforms (in Financial Services industry) and Azure’s PaaS offerings (Synapse, Purview, ADF, Databricks, Azure Data Lake Storage etc.)

•Strong experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates.

•Proficient in data processing languages such as SQL, JAVA, C# or Scala

•Strong notions of security best practices (e.g., using Azure Key Vault, IAM, RBAC, Monitor etc.).

• Proficient in integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.

•Understand the data through exploration, experience with processes related to data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement.

•Ability to think strategically and operate in day-to-day delivery mode requirement of the role.

•Problem-solving, pragmatism, dynamism and energy critical to role.

•Demonstrates ability to understand business requirements and the implications of those requirements on current and future roadmaps.

•Understanding of Azure Networking concepts.

•High level understanding of Azure Devops

•Agile development processes (SCRUM and Kanban)

•Experience with Jira a plus

•Ability to work independently as well as in a team.

•Certification Azure – DP-203: Data Engineering on Microsoft Azure and DP-900: Microsoft Azure Data Fundamentals certification preferred.

•Strong communication, presentation, documentation, and interpersonal skills

•Able to self-manage and work independently in a fast-paced environment with dynamic requirements and priorities.

•Self-motivated and proactive with demonstrated critical thinking and creative problem-solving skills