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dataroles

Senior Azure Data Engineer (Databricks)

Capco capco.com Open
Hybrid Edinburgh Glasgow Senior Data Engineering

At a glance

Senior Data Engineering role at Capco. Edinburgh · no salary stated · we estimate £66,500–£96,000 across the United Kingdom.

Estimated pay

Capco has not published a salary for this role. The figure below is our estimate, not theirs.

£66,500 – £96,000
What the middle half of senior data engineering roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 21 postings that stated pay, median £90,000. Last updated Nov 12, 2026.
RoleData Engineering
SenioritySenior
LocationEdinburgh
WorkplaceHybrid
PostedNov 10, 2026
Also hiring inGlasgow
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build scalable data pipelines with DeltaLake, Spark Structured Streaming and Unity Catalog
  • Create event-driven data flows using Kafka or Azure Event Hubs
  • Set up delivery pipelines with Azure DevOps, Jenkins or GitHub Actions
  • Turn client data needs into technical designs with clients and stakeholders
  • Improve code quality, data lifecycle practices and engineering standards across teams

What you bring

  • Hands-on Databricks experience, including orchestration
  • Strong Python, PySpark and SQL skills, plus familiarity with distributed data systems
  • Experience taking data pipelines from ingestion through transformation to serving
  • Knowledge of lakehouse architecture, schema design and GDPR-compliant solutions
  • Working knowledge of DevOps tools and CI/CD practices

Who this fits

This senior, hands-on role suits an engineer who works directly with clients and contributes within cross-functional teams. You must be able to work three days each week at a client site in Edinburgh or Glasgow, with the city depending on client needs.

From the employer

Senior Azure Data Engineer (Databricks)

Location: Glasgow or Edinburgh (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Successful candidates must be flexible to working 3 days per week on client site in Edinburgh or Glasgow

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 best practice implementation and continuous improvement within cross-functional engineering teams.

This role will sit in our Scotland office, with a need to potentially work in either Edinburgh or Glasgow depending on client expectations.

What You’ll Do

  • Design and develop robust pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog

  • Build real-time event-driven solutions with tools such as Kafka and Azure Event Hubs

  • Apply DevOps principles to develop CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions

  • Collaborate with clients and stakeholders to translate data needs into strategic technical solutions

  • Champion clean code, data lifecycle optimisation, and software engineering best practices

What We’re Looking For

  • Proven hands-on experience with Databricks platform and orchestration

  • Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems

  • Expertise in developing full lifecycle data pipelines across ingestion, transformation, and serving layers

  • Experience with data lakehouse architecture, schema design, and GDPR-compliant solutions

  • Working knowledge of DevOps tools and CI/CD processes

Bonus Points For

  • Development experience in Scala or Java

  • Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem

  • Understanding of data privacy regulations, including GDPR, and experience working with sensitive data

  • Ability to learn and adapt new technologies quickly to meet business needs

  • Collaborative mindset with a passion for innovation and continuous learning

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.

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: 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.
  • Healthcare Access: Convenient online GP services.
  • 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.