Azure/Databricks Data Engineer in Newcastle upon Tyne
Azure/Databricks Data Engineer

Azure/Databricks Data Engineer in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build scalable data platforms using Databricks and Azure.
  • Company: Join Capgemini, a leading tech company focused on innovation.
  • Benefits: Enjoy hybrid working, wellbeing support, and extensive training opportunities.
  • Why this job: Make a real impact by leveraging cutting-edge technology in data engineering.
  • Qualifications: 10+ years of experience in data engineering with expertise in Databricks and Azure.
  • Other info: Be part of a diverse team that values creativity and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

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.

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.

Azure/Databricks Data Engineer in Newcastle upon Tyne employer: Capgemini

At Capgemini, we pride ourselves on being an exceptional employer, offering a vibrant work culture that prioritises employee wellbeing and professional growth. With a commitment to continuous learning through access to extensive training resources and a supportive environment fostered by our Mental Health Champions, you will thrive as an Azure/Databricks Data Engineer in one of our dynamic UK locations. Join us to be part of a diverse team that values innovation and collaboration, empowering you to shape your career while making a meaningful impact in the tech industry.
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Contact Detail:

Capgemini Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Azure/Databricks Data Engineer in Newcastle upon Tyne

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. Having tangible examples of your work can really set you apart during interviews and discussions.

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of data pipelines and AI/ML models. Practice common interview questions and coding challenges related to Databricks and Apache Spark. The more prepared you are, the more confident you'll feel!

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make it happen!

We think you need these skills to ace Azure/Databricks Data Engineer in Newcastle upon Tyne

Databricks
Apache Spark
Azure Data Lake Storage
Data Pipeline Development
Data Warehousing Concepts
Machine Learning Integration
Azure Data Factory
Performance Analysis
Data Quality Checks
Governance Practices
Problem-Solving Skills
Analytical Skills
Communication Skills
Team Collaboration
Security Clearance Eligibility

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Azure/Databricks Data Engineer role. Highlight your experience with Databricks, Apache Spark, and Azure, and don’t forget to showcase any relevant projects or achievements that demonstrate your skills.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Keep it concise but impactful!

Showcase Your Problem-Solving Skills: In your application, be sure to include examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!

How to prepare for a job interview at Capgemini

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of Databricks, Apache Spark, and Azure. Be ready to discuss how you've used these technologies in past projects, and think of specific examples that showcase your skills in building data pipelines and data warehouses.

✨Showcase Your Problem-Solving Skills

Prepare to talk about challenges you've faced in previous roles and how you overcame them. Highlight your analytical skills and provide concrete examples of how you've optimised data pipelines or improved performance metrics.

✨Collaboration is Key

Since you'll be working with cross-functional teams, be ready to discuss your experience collaborating with business analysts, data scientists, and DevOps engineers. Share examples of successful projects where teamwork played a crucial role.

✨Stay Current with Industry Trends

Demonstrate your commitment to continuous learning by discussing recent developments in big data technologies and AI/ML. Mention any courses or certifications you've pursued, especially those related to Azure and Databricks, to show you're proactive about your professional growth.

Azure/Databricks Data Engineer in Newcastle upon Tyne
Capgemini
Location: Newcastle upon Tyne
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  • Azure/Databricks Data Engineer in Newcastle upon Tyne

    Newcastle upon Tyne
    Full-Time
    36000 - 60000 £ / year (est.)
  • C

    Capgemini

    300,000+
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