Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Azure Data Engineer

Areti Group | B Corp
Sheffield
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Azure | Permanent | Hybrid

Senior Data Engineer - Azure Data - Burton-on-Trent - Hybrid

Senior Data Engineer - Azure Data - Burton-on-Trent - Hybrid...

Senior Data Engineer/ Scientist

Senior Data Engineer // Remote (UK)

Senior Data Engineer

Senior Azure Data Engineer


Remote Working


£85,000 + Benefits


We’re looking for a Senior Azure Data Engineer to help design and deliver modern, scalable data solutions for enterprise customers. You’ll work hands‑on across cloud‑native architectures, building high-quality data products and helping organisations make better decisions through clean, reliable, well-structured data.


In this role, you’ll partner with stakeholders to understand business needs, develop robust data pipelines and platforms, and enable customers to truly unlock the value of their data investments. This is a great opportunity to contribute to standards, influence best practice, and shape real delivery outcomes.


How your day will look :

  • Collaborate with customers to capture requirements and design data solutions that drive measurable outcomes.
  • Improve the way organisations create, govern, and manage their key data assets.
  • Build cloud-native data products using modern Azure services and engineering patterns.
  • Design and implement data lake architectures that connect, transform, and leverage internal and external data.
  • Support full delivery cycles, from prototyping and testing through to deployment and launch.
  • Produce technical documentation to support data platform design and long-term operation.
  • Help refine and evolve engineering principles, development standards, and best practice.

Skills & Experience :

  • Hands‑on experience with Azure data services such as Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, and Purview.
  • Strong Python and SQL skills for transformation and pipeline development.
  • Solid understanding of Azure data storage / warehouse technologies including SQL MI and Synapse.
  • Familiar with DevOps ways of working, including CI / CD and IaC (e.g., Bicep, Terraform ).
  • Experienced working in Agile teams, using Azure DevOps for collaboration and delivery.

Desirable :

  • Experience with Azure tooling for infrastructure provisioning and monitoring (e.g., Terraform, ARM, Policy, Monitor, Log Analytics).

Why Join?

  • Play a key role in designing and delivering high-impact Azure data solutions.
  • A collaborative culture that values innovation, technical excellence, and professional growth.
  • Opportunity to influence engineering direction, tooling, and best practice.
  • Competitive salary and benefits package.

If you’re a Senior Azure Data Engineer passionate about delivering modern cloud‑first data platforms, we’d love to hear from you.


🌳🌳🌳 Areti Group – Climate positive tech recruitment 🌳🌳🌳


We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.


#J-18808-Ljbffr

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.