Senior Azure Data Engineer (Databricks)
Capco is hiring a Senior Azure Data Engineer (Databricks) in London, United Kingdom. Level rates it ; you can apply on Capco.
Level's read on this job
- Uses AI ●●○○ is how Level rates this data engineer role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Databricks and AI safety.
- Level classifies it as a senior role.
- Level lists 702 other open roles at Capco.
AI in this role
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Engineer advanced data solutions at scale in a world-class consulting environment.
The Role
As a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure. You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You'll also contribute to engineering best practices and continuous improvement across cross-functional teams. Databricks platform on Azure. You'll embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices.
What You'll Do
- Design and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure-native services.
- Build real-time, event-driven solutions using technologies such as Kafka and Azure Event Hubs, applying AI-enabled engineering approaches where appropriate to improve delivery efficiency.
- Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and modern DevOps practices to support reliable deployments.
- Collaborate with clients and multidisciplinary teams to translate business requirements into scalable, production-ready data solutions.
- Champion clean code, data lifecycle optimisation, engineering best practices, and the responsible use of approved AI tools and automation to improve collaboration and delivery.
What We're Looking For
- Proven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions.
- Strong technical skills in Python, PySpark, and SQL, with experience working with distributed data processing frameworks.
- Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse architectures.
- Experience with schema design, GDPR-compliant data solutions, DevOps tooling, and CI/CD processes.
- A collaborative approach to engineering with experience using AI-enabled tools responsibly to improve productivity while maintaining appropriate human oversight, governance, and solution quality.
Bonus Points For
- Development experience using Scala or Java.
- Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems.
- Experience working with sensitive data and applying data privacy regulations, including GDPR.
- Curiosity to explore new technologies, including responsible AI and automation, to continuously improve engineering practices.
- Passion for collaboration, knowledge sharing, and continuous learning within high-performing engineering teams.
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 Financial Services & Energy.
Benefits
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: Eight complimentary backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: Five 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 through workshops, certifications, and e-learning. You'll also be assigned a Business Coach from day one to support your career development.
- Healthcare Access: Convenient online GP services.
- Extra Perks: Wellhub (Gympass), 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.
#LI-DNI
How we rate this
Senior Azure Data Engineer (Databricks) at Capco rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $149k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used Databricks in your day-to-day work.
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Safety and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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