Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Azure Data Engineer

Leeds
4 weeks ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer - Manchester

Azure Data Engineer - Manchester

Azure Data Engineer

Azure Data Engineer

Azure & Snowflake Data Engineer

Senior Azure Data Engineer

Azure Data Engineer - Leeds (Hybrid) - £65,000

Are you an experienced Azure Data Engineer with a passion for building scalable, cloud-native data solutions? We're recruiting on behalf of a dynamic organisation in Leeds that's investing in its data platform - and they're looking for someone with strong Databricks expertise to join their team.

About the role:

Designing and developing robust data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
Working with Delta Lake and Azure Data Lake Storage to manage and optimise large datasets.
Collaborating with data analysts, engineers, and business stakeholders to deliver clean, reliable data.
Supporting the migration of legacy systems to a modern Azure-based architecture
Ensuring best practices in data governance, security, and performance tuning

Requirements:

Proven experience with Azure Data Services (ADF, Synapse, Data Lake)
Strong hands-on experience with Databricks (including PySpark or SQL)
Solid SQL skills and understanding of data modelling and ETL/ELT processes
Familiarity with Delta Lake and lakehouse architecture
A proactive, collaborative approach to problem-solving and innovation

Benefits:

Competitive salary up to £65,000
Flexible hybrid working (2 days in the Leeds office)
Generous holiday allowance and pension scheme
Ongoing training and certification support (Azure, Databricks, etc.)
A supportive, inclusive team culture with real opportunities for growthPlease Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Contact me

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.