Data Engineer

TXP
London, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Relation Therapeutics London, United Kingdom
Permanent

Data Engineer, Strategic Account Services

Amazon London, United Kingdom
Permanent

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Data Platform Solutions Architect (Professional Services)

Databricks London, United Kingdom
Posted
14 Feb 2026 (2 months ago)
Share
Save job
Create job alert

Data Engineer (Pharma Background Essential)

£550 per day - INSIDE IR35

6 Months

Hybrid - 1 day per week in London

Role Purpose

We are currently looking for a Data Engineer to be responsible for designing, building and maintaining our clients data pipelines and platform infrastructure on Microsoft Fabric. Operating within a consulting model, this role deploys across engagements of varying scope and duration, delivering production-grade data solutions that meet client requirements.

Required Skills and Experience

Expereince of working within the pharma/lifesciences sector.

Demonstrable experience building data pipelines in production environments.

Proficiency with Microsoft Fabric, including Data Factory, lakehouses, warehouses, notebooks and semantic models.

Strong skills in PySpark, Spark SQL and T-SQL for data transformation.

Experience with medallion architecture or equivalent layered data processing patterns.

Working knowledge of OneLake, delta tables and Fabric capacity management.

Proficiency with version control (Git) and CI/CD practices for data platform assets.

Understanding of data governance principles, including cataloguing, lineage and access control.

Experience working in a consulting, professional services or client-facing delivery environment.

Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences

Desirable Skills

Experience with Azure Data Lake Storage, Azure Synapse Analytics or Azure Data Factory prior to Fabric migration.

Familiarity with Microsoft Purview for data governance and compliance.

Exposure to Power BI semantic models and report development within Fabric.

Experience with event-driven architectures using Azure Event Hubs or Kafka.

Knowledge of infrastructure-as-code tools such as Terraform or Bicep for Azure resource provisioning.

DP-600 (Fabric Analytics Engineer) certification or equivalent Microsoft certifications

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.