National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Azure Data Engineer - UK remote

London
1 week ago
Create job alert

Senior Azure Data Engineer

Remote Working - UK Home-based with occasional travel into the office

£39,784 - £49,477 (National)
£45,456- £55,149 (London within the M25)
Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25)
Homeworking allowance of £581 per annum

Job Ref: J12964

The role of the Senior Azure Data Engineer is to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs.
The role holder will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering.

Accountabilities:

·Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components and products.
·Design, write and iterate code from prototype to production ready. Understand security, accessibility and version control. Use a range of coding tools and languages as required.
·Work closely with colleagues across the Data & Insight Unit to effectively translate requirements into solutions, and accurately communicate across technical and non-technical stakeholders as well as facilitating discussions within a multidisciplinary team.
·Deliver robust, supportable and sustainable data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future proof.
·Understand the concepts and principles of data modelling and produce, maintain and update relevant physical data models for specific business needs, aligning to the enterprise data architecture standards.
·Design and implement data solutions for the ingest, storage and use of sensitive data within the organisation, including designing and implementing row and field-level controls as needed to appropriately control, protect and audit such data.
·Clearly, accurately and informatively document and annotate code, routines and other components to enable support, maintenance and future development.
·Work with QA Engineers to execute testing where required, automating processes as much as possible.
·Keep abreast of opportunities for innovation with new tools and uses of data.
·Learn from what has worked as well as what has not, being open to change and improvement and working in smarter', more effective ways.
·Work collaboratively, sharing information appropriately and building supportive, trusting and professional relationships with colleagues and a wide range of people within and outside of the organisation.
·Provide oversight and assurance of suppliers and team members, coaching and mentoring colleagues to create a highly-performant and effective team.
·Design and undertake appropriate quality control and assurance for delivery of output.
·Provide direction and guidance to peers and junior colleagues, including line management and development of teams, where required.

Essential Skills and Experience:

·Educated to degree level or have equivalent professional experience.
·Experience translating business requirements into solution design and implementation.
·Experience of MS Azure Databricks
·Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL.
·Experience following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking).
·Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally.
·Experience in other programming languages for data manipulation (e.g., Python, Scala).
·Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies.
·Understanding of the principles of data modelling and data flows with ability to apply this to design of data solutions.
·Experience of supporting and enabling AI technologies.
·Experience implementing data flows to connect operational systems, data for analytics and BI systems.
·Experience documenting source-to-target mappings.
·Experience in assessing and analysing technical issues or problems in order to identify and implement the appropriate solution.
·Knowledge and experience of data security and data protection (e.g., GDPR) practices and application of these through technology.
·Strong decision-making, leadership and mentoring skills
·Ability to identify problems and lead the delivery of solutions and preventative measures, escalating where appropriate.
·Proven ability to understand stakeholder needs, manage their expectations and influence at all levels on the use of data and insight.

Desirable
Knowledge and understanding of the health and care sectors.
Experience of using Power BI and creating reports/analysing data.

Additional Requirements:
Candidates must have an existing and future right to live and work in the UK. Sponsorship at any point is not available.

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

Related Jobs

View all jobs

Senior Azure Data Engineer

Data Engineer/Azure/Databricks

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer and Data Manager

National AI Awards 2025

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.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.