Azure data Engineer

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Introduction

In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Introduction

In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience

We Offer

Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us

Feedback and checkpoints throughout the year; no one off annual reviews here

A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications

Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks

A culture where your ideas for growth and innovation are always welcome

Internal recognition programs for peer-to-peer appreciation as well as from manager to employees

Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme

More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.

Your Role And Responsibilities

A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies.
• Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks).
• Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka).
• Strong understanding of SQL and NoSQL databases, data modeling, and ETL / ELT processes.
• Proficiency in at least one programming language (Python, C#, Java).
• Experience with CI / CD pipelines and tools (Azure DevOps, Jenkins).
• Knowledge of data governance and data quality principles.
• Excellent problem-solving abilities and a customer-centric approach.
• Strong communication and team collaboration skills.

As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.

Preferred Technical And Professional Experience

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

IT Services and IT Consulting

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