Azure Data Engineer

Avanade Inc.; City of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global consulting firm is seeking a Data Engineer to create enterprise-grade analytics solutions on Azure and Databricks. The role requires mentoring junior team members and working directly with clients to address their complex business challenges. Ideal candidates will have strong technical skills in data engineering and Azure technologies. This full-time position is a great opportunity to advance your career in a supportive environment.

Qualifications

• Experience in Data Engineering with end-to-end project implementation.
• Knowledge of latest Azure technologies and best practices.
• Ability to communicate complex concepts to non-technical clients.

Responsibilities

• Design and deliver advanced analytics solutions using Azure and Databricks.
• Mentor colleagues and support their technical growth.
• Work directly with clients to understand their data requirements.

Skills

Data Engineering

Azure technologies

Databricks

Python

Communication skills

Tools

Azure Data Lake Storage

Kubernetes

Job description

Our talented Data Engineering team within Avanade is made up of globally recognised experts - and there’s room for more analytical, innovative, client-driven data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.

Responsibilities

• Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
• Evangelise and evolve best practices for our clients and our team, including mentoring colleagues and supporting their personal development
• Constantly developing technical skills in the latest Azure and Databricks technologies - achieving and maintaining relevant certifications
• Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors
• Demonstrable end-to-end experience in Data Engineering, including large-scale projects
• Experience with the latest Azure technologies, such as Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen 2), Purview, Cosmos DB, OpenAI, Azure ML, AI Foundry, Kubernetes
• Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL
• Confident communicator who is able to explain technical terms to non-technical audiences and mentor junior colleagues
• Leads small development teams: track work, manage assignments, manage capacity, etc.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology

Industries

• Business Consulting and Services