Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and optimise data pipelines for a next-gen insight platform.
  • Company: Join Prism Digital, a rapidly scaling tech company.
  • Benefits: Enjoy 24 days annual leave, flexible Fridays, and wellness days.
  • Why this job: Make a real impact on global data engineering projects.
  • Qualifications: Experience in Python, CI/CD, and data solutions like Snowflake.
  • Other info: Collaborative culture with excellent growth opportunities.

The predicted salary is between 36000 - 60000 ÂŁ per year.

You’ll join a rapidly scaling data engineering function at the heart of a major transformation programme. This is a hands‑on AWS engineering role where you will design, build, and optimise modern data pipelines that power a next‑generation insight platform. You’ll work across ingestion, enrichment, automation, and infrastructure, helping to shape how data is delivered and leveraged across the organisation.

What They’re Looking For:

  • Python engineering with a strong data‑leaning profile
  • CI/CD with Jenkins
  • Snowflake data solutions
  • Exposure to AI/ML workflows or ingesting external/public datasets
  • DBT for data modelling (nice to have)

What You’ll Work With:

  • Python for data processing and transformation
  • AWS services (S3, compute, orchestration, and data tooling)
  • Terraform for infrastructure deployment and environment management
  • ETL/ELT pipelines, orchestration, and automation frameworks
  • Snowflake for warehousing and analytics
  • CI/CD via Jenkins
  • Data integration with internal and 3rd‑party APIs
  • Secure data practices, governance, and compliance standards

Nice to Haves:

  • Industry exposure to financial data, investment intelligence, or similar environments
  • Experience working with data‑rich platforms at scale
  • Familiarity with high‑volume enrichment pipelines
  • Background in LSEG‑style or alternative‑data environments

Why Join / Projects:

  • You’ll be joining a team entering a major growth and modernisation phase.
  • This is an opportunity to directly influence the engineering approach behind a data‑led platform used globally.
  • Shape how large‑scale data is modelled, transformed, and automated.
  • Build modern, scalable pipelines with real ownership.
  • Work closely with engineers, analysts, and data scientists in a collaborative product‑led culture.
  • Contribute to the evolution of a platform that is actively shifting from legacy processes to a fully automated, insight‑driven ecosystem.
  • Work in a high‑impact environment with significant headroom for progression.

Employee Benefits:

  • 24 days annual leave rising to 29
  • Enhanced parental leave
  • Wellness days
  • Flexible Fridays (opportunity to finish early)
  • Birthday day off
  • Employee assistance programme
  • Charity days
  • Breakfast provided
  • Social events throughout the year

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Project Management

Senior Data Engineer employer: Prism Digital

Prism Digital is an exceptional employer that offers a dynamic and collaborative work environment, perfect for those looking to make a significant impact in the data engineering field. With a strong focus on employee growth, you will have the opportunity to shape cutting-edge data solutions while enjoying generous benefits such as flexible working hours, enhanced parental leave, and wellness initiatives. Join us in a transformative phase where your contributions will directly influence a global insight platform, all while being part of a supportive team culture that values innovation and personal development.
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Contact Detail:

Prism Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Don’t just sit back and wait for the job to come to you! Slide into the DMs of the job poster on LinkedIn or other platforms. A friendly message can make you stand out and show your enthusiasm for the role.

✨Tip Number 2

Network like a pro! Connect with current employees at Prism Digital and ask about their experiences. This not only gives you insider info but also shows your genuine interest in the company culture.

✨Tip Number 3

Prepare for the interview by brushing up on your Python and AWS skills. Be ready to discuss how you've built data pipelines in the past, as this will be key to impressing the hiring team.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to dive into the exciting projects at Prism Digital.

We think you need these skills to ace Senior Data Engineer

Python Engineering
AWS Services (S3, compute, orchestration, and data tooling)
CI/CD with Jenkins
Snowflake Data Solutions
ETL/ELT Pipelines
Terraform for Infrastructure Deployment
Data Integration with Internal and 3rd-party APIs
Secure Data Practices
Governance and Compliance Standards
Exposure to AI/ML Workflows
DBT for Data Modelling
High-volume Enrichment Pipelines
Collaboration with Engineers, Analysts, and Data Scientists

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your Python engineering expertise and any experience with AWS services, as these are key to what we’re looking for.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our transformation programme. Be sure to mention any relevant projects or achievements that showcase your abilities.

Showcase Your Technical Skills: Don’t forget to include specific examples of your work with CI/CD, Snowflake, and ETL/ELT pipelines. We want to see how you’ve applied these technologies in real-world scenarios, so be detailed!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our rapidly scaling team.

How to prepare for a job interview at Prism Digital

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS, and CI/CD with Jenkins. Brush up on your knowledge of Snowflake and any relevant data engineering tools, as you’ll likely be asked to discuss how you’ve used them in past projects.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your hands-on experience with building and optimising data pipelines.

✨Understand the Business Context

Research Prism Digital and their transformation programme. Understand how data plays a role in their business model and be ready to share ideas on how you can contribute to their goals, especially in terms of data delivery and leveraging insights.

✨Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, the team dynamics, or how they envision the evolution of their data platform. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.

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