Azure/Databricks Data Engineer

Capgemini; Birmingham; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

A global technology consulting firm in Birmingham is seeking a Databricks Data Engineer focused on Azure. This role involves building scalable data solutions using Databricks and Apache Spark. The ideal candidate has a strong background in cloud technologies with over 10 years of experience. The position offers a hybrid work model and numerous growth opportunities.

Benefits

Extensive training opportunities

Mental health support

Flexible working environment

Qualifications

• Proven expertise in data pipeline development and warehousing concepts.
• Minimum 10+ years of experience as a Data Engineer or similar role.
• Strong understanding of cloud technologies and data governance.
• Experience with Microsoft Azure cloud platform.

Responsibilities

• Design and build high-performance data pipelines.
• Monitor and optimize data pipelines and infrastructure.
• Collaborate with cross-functional teams for successful data platform implementations.

Skills

Databricks and Apache Spark

Data pipeline development

Microsoft Azure

AI/ML integration

Problem-solving skills

Communication skills

Communication

Teamwork

Education

Azure Data Engineer Associate

Databricks Certified Data Engineer Professional

Tools

Azure Data Lake Storage

Azure Data Factory

Job description

The Job You're Considering

The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP.

Your Role

As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

Your Skills and Experience

• Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.


• Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.


• Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.


• Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.


• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.


• Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work


• Minimum 10+ years of experience as a Data Engineer or similar role.


• Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.


• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.


• Excellent problem-solving and analytical skills and strong communication and teamwork skills.


• Azure Data Engineer Associate and Databricks Certified Data Engineer Professional

Your Security Clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

What does 'Get The Future You Want' mean for you?

Your wellbeing

You\'d be joining an accredited Great Place to work for Wellbeing in 2023. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained \'Mental Health Champions\' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.

Shape your path

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini\'s \'learning for life\' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

Why you should consider Capgemini

Growing clients\' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you\'ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what\'s possible. It\'s why, together, we seek out opportunities that will transform the world\'s leading businesses, and it\'s how you\'ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you\'ll build the skills you want. You\'ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.