Senior Azure Data Engineer (Databricks) in Glasgow

Senior Azure Data Engineer (Databricks) in Glasgow

Glasgow Full-Time 60000 - 80000 € / year (est.) No home office possible
Capco

At a Glance

  • Tasks: Design and build scalable data engineering pipelines using Databricks on Azure.
  • Company: Capco, a leading consulting firm in technology and engineering.
  • Benefits: Competitive salary, health insurance, flexible holidays, and continuous learning opportunities.
  • Other info: Access to mental health support and family-friendly policies.
  • Why this job: Join a collaborative team shaping the future of digital financial services.
  • Qualifications: Experience with Databricks, Python, and full lifecycle data pipelines.

The predicted salary is between 60000 - 80000 € per year.

Location: Glasgow or Edinburgh (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 best practice implementation and continuous improvement within cross-functional engineering teams.

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.

Senior Azure Data Engineer (Databricks) in Glasgow employer: Capco

Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, making it an ideal place for a Senior Azure Data Engineer to thrive. With a strong focus on continuous learning and professional development, employees benefit from a comprehensive training programme, generous leave policies, and a supportive work environment that prioritises mental health and family-friendly practices. Located in vibrant cities like Glasgow and Edinburgh, Capco offers the unique advantage of working at the forefront of digital transformation in financial services while enjoying a flexible hybrid work model.

Capco

Contact Detail:

Capco Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Azure Data Engineer (Databricks) in Glasgow

Tip Number 1

Network like a pro! Reach out to your connections on LinkedIn or attend local meetups in Glasgow or Edinburgh. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, DeltaLake, and real-time solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and stakeholders.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Azure Data Engineer (Databricks) in Glasgow

Databricks
DeltaLake
Spark Structured Streaming
Unity Catalog
Kafka
Azure Event Hubs
CI/CD pipelines

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Azure Data Engineer role. Highlight your experience with Databricks, Python, and data pipelines. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of your work with data pipelines, CI/CD processes, or any innovative solutions you've developed. We’re keen to see your hands-on experience!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!

How to prepare for a job interview at Capco

Know Your Tech Inside Out

Make sure you brush up on your knowledge of Databricks, DeltaLake, and Spark Structured Streaming. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've designed and built data pipelines or real-time event-driven solutions. Highlight your experience with tools like Kafka and Azure Event Hubs, and be ready to explain your thought process in tackling complex data needs.

Demonstrate Your DevOps Knowledge

Familiarise yourself with CI/CD processes and the DevOps tools mentioned in the job description, such as Azure DevOps and Jenkins. Be prepared to discuss how you've implemented these practices in your previous roles to improve efficiency and collaboration.

Emphasise Collaboration and Continuous Learning

Capco values a collaborative mindset, so be ready to talk about how you've worked with clients and cross-functional teams. Also, mention any continuous learning initiatives you've undertaken, like workshops or certifications, to show your commitment to personal and professional growth.