Data Engineer

Planet Pharma
London, England
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom
£500 – £550 pd

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom
£42,287 – £47,191 pa Hybrid Clearance Required

Data Engineer

TXP Telford, Shropshire, SY2 5TN, United Kingdom
£540 – £541 pd Hybrid Clearance Required

Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £450 pd Hybrid Clearance Required

Data Engineer

Intelligent Steps London, United Kingdom
£500 – £600 pd Hybrid
Posted
21 Dec 2025 (5 months ago)

*** Data Engineer - Hybrid in London - Life Sciences Organisation - Permanent ***


Are you ready to shape a secure, scalable, and modern cloud platform designed to power advanced scientific and data-driven work? Planet Pharma are looking for a Data Engineer to lead the development of an Azure-centric environment that supports data science, machine learning, and high-performance compute workloads.


About the Role

In this role, you will design and manage an Azure-first cloud estate—ensuring it is secure, compliant, cost-effective, and high-performing. You’ll architect Trusted Research Environments (TREs), build repeatable infrastructure using Terraform and CI/CD pipelines, and collaborate closely with data engineering and scientific teams to deliver robust compute capabilities.

You’ll play a key part in driving cloud strategy, embedding strong governance practices, and delivering enterprise-grade architectures aligned with modern data platform principles.


Key Responsibilities

  • Design and implement Azure cloud infrastructure, including networking, identity, storage, Kubernetes, and HPC solutions.
  • Architect and manage secure Trusted Research Environments (TREs) in line with governance and safe data principles.
  • Provide compute solutions for bioinformatics, ML, and data-intensive workloads.
  • Drive automation using Terraform, Azure DevOps, and CI/CD pipelines.
  • Embed security, compliance, and observability across all cloud components.
  • Collaborate with cross-functional teams to align cloud architecture with data platform strategy.
  • Mentor engineering teams and translate technical requirements into scalable solutions.


Essential Experience

  • Hands-on Azure experience across networking, compute, security, storage, and automation.
  • Strong Infrastructure-as-Code skills.
  • Experience designing and delivering modern IT/cloud architectures.
  • Knowledge of modern data/ML platforms (e.g., Databricks, Azure ML, Synapse, MLflow, Airflow).


Desirable

  • Disaster recovery and cloud security best practices.
  • Experience in research, life sciences, or health data environments.
  • Data sharing agreements and DPIAs.
  • Snowflake experience.
  • Terraform or Bicep/ARM proficiency.
  • Azure, AWS, Kubernetes, or security certifications (e.g., AZ-305, AZ-500, CKA/CKS, CISSP, CCSP).


Ready to join a high-impact team driving digital transformation?

About Planet Pharma:


Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.


Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognised by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.


We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.


www.planet-pharma.com


Please click ‘apply’ or contact Augustus Chukwuma (Recruitment Team Lead) at Planet Pharma for more information:


E:

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.