Azure Data Engineer - £250PD Outside IR35 - Remote

London
3 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Senior Azure Data Engineer - London

Urgent | Contract Senior Data Engineer - Azure + Databricks + Snowflake

Data Engineer (Azure Data Platform)

Data Engineer (Azure)

Data Engineer £250 Outside IR35 - Remote

Job Summary

We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on Microsoft Azure. The ideal candidate has strong hands-on experience with Azure Databricks and Azure Synapse Analytics, and is passionate about transforming raw data into reliable, high-quality datasets that support analytics, reporting, and advanced data use cases.

Key Responsibilities

Design, develop, and optimize end-to-end data pipelines using Azure services

Build and maintain scalable ETL/ELT workflows using Azure Databricks (PySpark/SQL)

Develop and manage data warehouses and analytics solutions using Azure Synapse Analytics

Ingest data from multiple sources (APIs, databases, files, streaming sources) into Azure data platforms

Implement data modeling, transformation, and validation to ensure data quality and reliability

Optimize performance, cost, and scalability of data pipelines and queries

Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions

Implement security, governance, and compliance best practices (RBAC, data masking, encryption)

Monitor, troubleshoot, and resolve pipeline and performance issues

Document data architecture, pipelines, and operational processes

Required Qualifications

3+ years of experience as a Data Engineer or in a similar role

Strong experience with Azure Databricks (PySpark, Spark SQL)

Hands-on experience with Azure Synapse Analytics (dedicated and/or serverless pools)

Solid understanding of data warehousing concepts and dimensional modeling

Proficiency in SQL and Python

Experience with Azure data services such as Azure Data Lake Storage (ADLS Gen2), Azure Data Factory, and Azure SQL

Familiarity with CI/CD pipelines and version control (Git, Azure DevOps)

Experience working in Agile/Scrum environments

Preferred Qualifications

Azure certifications (e.g., Azure Data Engineer Associate)

Experience with streaming technologies (Event Hubs, Kafka, or Spark Structured Streaming)

Knowledge of data governance tools (Purview, Unity Catalog)

Experience with Power BI or other BI/analytics tools

Exposure to DevOps, Infrastructure as Code (ARM, Bicep, or Terraform)

To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment

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.

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

🍪 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.