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Senior Azure Data Engineer (Databricks)

UK - London

Pay
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Work setup
Hybrid stated — work setup source
Senior Azure Data Engineer (Databricks) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer advanced data solutions at scale in a world-class consulting environment.
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Employment
Unconfirmed
Apply at Capco

What you’ll work on

Full posting
  • You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation.

  • Design and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure-native services.

  • Deliver high-impact technology solutions for Tier 1 financial institutions.

From the employer’s posting
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
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.
Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions. Work in a collaborative, flat, and entrepreneurial consulting culture.

Tools in this posting

  • Python
  • Scala
  • SQL
  • Azure
  • Databricks
  • Delta
  • Hadoop
  • Hive
  • Kafka
  • Spark
  • PySpark
  • Java
Source — Tool mentions in context
- 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.
Bonus Points For - Development experience using Scala or Java. - Familiarity with Cloudera, Hadoop, Hive, Spark, and related distributed data ecosystems.
Senior Azure Data Engineer (Databricks) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
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
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.
- 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.
- 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.
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.
- 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.

Benefits in the posting

Full benefits wording
  • 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.
  • 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

From the employer’s posting.

Job description

View original posting ↗

Senior Azure Data Engineer (Databricks)

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

 

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Location & working pattern

UK - London

Senior Azure Data Engineer (Databricks) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer advanced data solutions at scale in a world-class consulting environment.
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Status in our records
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First seen by us
Mar 21, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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