At a Glance
- Tasks: Lead the design and delivery of innovative data solutions using Databricks on Azure.
- Company: Capco, a forward-thinking tech consultancy in financial services.
- Benefits: Competitive salary, generous leave, mental health support, and continuous learning opportunities.
- Other info: Join a diverse team that values individuality and offers excellent career growth.
- Why this job: Shape the future of digital transformation in finance while working with cutting-edge technology.
- Qualifications: Experience with Databricks, Python, and CI/CD pipelines; strong client engagement skills.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Lead the architecture of data platforms driving the future of financial services.
The Role
As a Principal Azure Data Engineer (Databricks) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform within the Azure ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients to modernise their data capabilities. Working with cross-functional teams, you’ll guide clients on best practices and technical strategy, ensuring quality and security standards are maintained across deployments.
What You’ll Do
- Lead the end-to-end delivery of Databricks-based solutions across Azure environments
- Architect secure and scalable pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog
- Develop and enforce engineering best practices across the data lifecycle
- Engage with clients to define solution strategies and data governance frameworks
- Mentor engineering teams and contribute to internal capability development initiatives
What We’re Looking For
- Proven experience with the Databricks platform, including Unity Catalog, DeltaLake, and orchestration
- Expertise in Python, PySpark, and distributed data processing frameworks
- Extensive background in CI/CD pipeline development with tools like Azure DevOps, Jenkins, GitHub Actions
- In-depth understanding of data lakehouse principles, data modelling, and GDPR-compliant design
- Experience building robust, production-grade data pipelines from ingestion through to serving
Bonus Points For
- Strong client-facing and commercial skills to support pre-sales and RFP engagements
- Background in coaching and mentoring engineering teams
- Development experience with Scala or Java
- Exposure to PII and sensitive data handling, and regulatory frameworks like GDPR
- Active contribution to Capco thought leadership and internal initiatives
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
- Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
- Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous Learning: Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
- Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
Principal Azure Data Engineer (Databricks) employer: Dormont Manufacturing Co
Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, making it an ideal place for a Principal Azure Data Engineer to thrive. With a strong focus on continuous learning and professional development, employees benefit from a minimum of 40 hours of training annually, alongside a comprehensive benefits package that prioritises mental health and family support. Located in London, Capco offers the unique opportunity to work with Tier 1 financial institutions, shaping the future of digital transformation in a dynamic and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Azure Data Engineer (Databricks)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Azure Data Engineer (Databricks) at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Azure Data Engineer (Databricks) at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Azure Data Engineer (Databricks)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
