Data Engineer

TXP
London, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Erin Associates South Yorkshire, United Kingdom
£55,000 – £60,000 pa

Data Engineer

Gold Group City of London, United Kingdom

Data Engineer

Consortium Professional Recruitment Hessle, United Kingdom

Data Engineer

SF Partners Manchester, United Kingdom

Data Engineer

VIQU Energy London, United Kingdom

Data Engineer

Big Red Recruitment Midlands Limited Huddersfield, HD1 2AA, United Kingdom
Posted
13 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 Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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 Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 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.