At a Glance
- Tasks: Design and develop scalable data pipelines using Azure Databricks and PySpark.
- Company: Join Capgemini, a global leader in tech transformation with a focus on ethics and sustainability.
- Benefits: Enjoy hybrid working, extensive training opportunities, and a supportive wellbeing culture.
- Other info: Be part of a diverse team committed to innovation and ethical practices.
- Why this job: Make a real impact by leveraging cutting-edge technology to transform businesses.
- Qualifications: Experience with Azure Databricks, PySpark, SQL, and cloud-based data engineering solutions.
The predicted salary is between 56700 - 69300 £ per year.
We are seeking a skilled Databricks Developer with strong expertise in building scalable data pipelines, data transformation and analytics solutions on the Azure Databricks platform. The ideal candidate should have hands-on experience in Spark, Python, SQL and cloud-based data engineering solutions.
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.
Your Role:
- Design, develop and maintain scalable ETL/ELT pipelines using Azure Databricks.
- Develop data processing solutions using PySpark, Spark SQL and Python.
- Ingest, transform and optimize structured and unstructured data from multiple sources.
- Build and maintain data lakes and medallion architecture (Bronze, Silver, Gold layers).
- Integrate Databricks with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Synapse and other cloud services.
- Optimize Spark jobs for performance and cost efficiency.
- Implement data quality checks, monitoring and troubleshooting processes.
- Collaborate with business stakeholders, data analysts and architects to understand data requirements.
- Ensure adherence to data governance, security and compliance standards.
Your Skills:
- Strong experience with Azure Databricks.
- Expertise in PySpark, Spark SQL and Python.
- Hands-on experience with Azure Data Factory (ADF).
- Strong SQL programming and database concepts.
- Experience with Azure Data Lake Storage (ADLS) Gen2.
- Knowledge of ETL and Data Warehousing concepts.
- Experience with Git, CI/CD and DevOps practices.
- Understanding of data modelling and performance tuning.
We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role.
Make It Real (what does it mean for you): You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as 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. 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 think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
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 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 an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Databricks Developer - London, UK employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
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We think you need these skills to ace Databricks Developer - London, UK
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