Senior Data Engineer - Multi-Cloud
Senior Data Engineer - Multi-Cloud

Senior Data Engineer - Multi-Cloud

Full-Time 60000 - 80000 ÂŁ / year (est.) No home office possible
UBDS Digital

At a Glance

  • Tasks: Design and optimise scalable data platforms using AWS and Azure.
  • Company: Join UBDS Group, a leader in innovative tech solutions.
  • Benefits: Enjoy competitive salary, private medical cover, and generous holiday.
  • Other info: Opportunities for personal development and career growth await you.
  • Why this job: Make an impact with cutting-edge data engineering in a dynamic environment.
  • Qualifications: Experience in data engineering, cloud platforms, and DevOps practices required.

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

UBDS Group is seeking an experienced Senior Data Engineer to design, build, and optimise scalable data platforms across complex transformation programmes. This role requires deep expertise in cloud‑based data engineering, architecture, and DevOps practices, with the ability to work across both AWS and Azure environments. You will play a key role in enabling high‑quality data integration, supporting advanced analytics use cases, and delivering robust, reusable data solutions aligned to client strategies.

Key Responsibilities

  • Design and develop scalable, automated data pipelines using cloud‑native technologies (e.g. Spark), while integrating with on‑premise data sources where required.
  • Implement and manage event‑driven data architectures, optimising pipeline performance, parallelisation, and early risk detection (e.g. fraud use cases).
  • Build and maintain data access layers and ETL frameworks, enabling both self‑service and ad‑hoc onboarding of data assets.
  • Develop reusable data engineering patterns and tooling to improve efficiency, scalability, and consistency across programmes.
  • Apply DevOps and software engineering best practices, including Infrastructure as Code (IaC) and CI/CD pipelines.
  • Collaborate with cross‑functional teams to ensure high‑quality data integration, governance, and performance.
  • Work across hybrid cloud environments (AWS and Azure), ensuring secure, resilient, and scalable solutions.
  • Support deployment and optimisation of data solutions leveraging services such as: AWS: EC2, EMR, S3, Lambda; Azure: Blob Storage and related services.
  • Ensure alignment with client data strategies, governance frameworks, and security requirements.
  • Contribute to knowledge sharing and capability uplift within both UBDS and client teams.

Essential Skills & Experience

  • Strong experience in data engineering and data architecture on complex programmes.
  • Proven ability to build and manage automated data pipelines using technologies such as Spark.
  • Experience implementing event‑driven architectures and optimising data pipeline performance.
  • Strong knowledge of ETL processes and data integration patterns, including self‑service data onboarding.
  • Hands‑on experience with AWS and Azure cloud platforms (both required).
  • Experience using key services such as: AWS: EC2, EMR, S3, Lambda; Azure: Blob Storage and associated services.
  • Understanding of cloud networking concepts within AWS and Azure environments.
  • Experience with Terraform (IaC) and GitLab (CI/CD pipelines).
  • Strong grounding in DevOps and modern software engineering practices.

Desirable

  • Experience working in government or regulated environments.
  • Familiarity with large‑scale data platforms and data access layers.
  • Experience supporting fraud detection or risk analytics use cases.
  • Knowledge of data governance, security, and compliance frameworks.

Security Requirements

This role requires Security Clearance (SC). Candidates must hold active SC clearance or be eligible and willing to undergo clearance.

Engineering Practices

  • Strong focus on automation, scalability, and reusability.
  • Advocate of DevOps culture, including CI/CD and Infrastructure as Code.
  • Experience working in agile, collaborative environments.
  • Commitment to building robust, production‑grade data solutions.

Personal Attributes

  • Strong problem‑solving and analytical skills.
  • Proactive and delivery‑focused mindset.
  • Comfortable working in complex, fast‑paced environments.
  • Excellent communication and stakeholder collaboration skills.

Benefits

  • Training – All team members are offered a number of options in terms of personal development, whether it is technical‑led, business acumen or methodologies.
  • Private medical cover for you and your spouse/partner, offered via Vitality.
  • Discretionary bonus based on a blend of personal and company performance.
  • Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
  • Electric Vehicle leasing with salary sacrifice.
  • Contributed Pension Scheme.
  • Death in service cover.

About UBDS Group

At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.

Equal Opportunities

We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Senior Data Engineer - Multi-Cloud employer: UBDS Digital

UBDS Group is an exceptional employer that prioritises employee growth and development, offering extensive training options to enhance both technical skills and business acumen. With a strong focus on innovation and collaboration, our work culture fosters a supportive environment where team members can thrive while contributing to impactful technology solutions. Located in a dynamic sector, we provide competitive benefits including private medical cover, a discretionary bonus, and generous holiday allowances, making UBDS Group a rewarding place to advance your career as a Senior Data Engineer.
UBDS Digital

Contact Detail:

UBDS Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - Multi-Cloud

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Azure. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native technologies like Spark. 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 knowledge of ETL processes and event-driven architectures. Be ready to discuss how you've optimised data pipelines in past roles, as this is key for the Senior Data Engineer position.

✨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 Data Engineer - Multi-Cloud

Data Engineering
Data Architecture
Cloud-based Technologies
AWS
Azure
Spark
ETL Processes
Event-driven Architectures
Infrastructure as Code (IaC)
CI/CD Pipelines
Terraform
GitLab
Data Integration Patterns
Data Governance
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS and Azure, as well as any relevant projects that showcase your skills in building automated data pipelines and event-driven architectures.

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 your background aligns with UBDS Group's mission. Don’t forget to mention your experience with cloud-native technologies like Spark!

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. This will demonstrate your analytical skills and proactive mindset, which are key attributes for this role.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re genuinely interested in joining our team!

How to prepare for a job interview at UBDS Digital

✨Know Your Tech Stack

Make sure you’re well-versed in the specific technologies mentioned in the job description, like AWS and Azure services. Brush up on your knowledge of Spark, ETL processes, and event-driven architectures, as these will likely come up during the interview.

✨Showcase Your Problem-Solving Skills

Prepare to discuss past projects where you tackled complex data engineering challenges. Be ready to explain your thought process and how you optimised data pipelines or implemented DevOps practices to improve efficiency.

✨Understand the Company’s Mission

Familiarise yourself with UBDS Group's mission and values. Being able to articulate how your skills align with their goals, especially around innovation and impactful solutions, will show that you’re genuinely interested in the role.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project methodologies, and how they approach data governance and security. This not only shows your interest but also helps you gauge if the company culture is a good fit for you.

Senior Data Engineer - Multi-Cloud
UBDS Digital

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