Data Engineer

Nine Twenty Recruitment
Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data engineer

Data Engineer

Azure Data Engineer

Hybrid (Midlands-based client)

A new opportunity has opened for an Azure Data Engineer to join a high-impact data transformation project with a leading UK retail business.

This role is ideal for someone with strong Azure data platform experience who enjoys working closely with stakeholders to interpret business needs and deliver scalable data solutions. You’ll be part of a wider Azure migration programme, helping to move core BI systems to Microsoft Fabric.


What you’ll be doing:

  • Leading the design and execution of a data migration strategy to Microsoft Fabric
  • Engaging with business stakeholders to understand and translate complex data needs
  • Developing and optimising data pipelines with Azure Data Factory and Azure Synapse Analytics
  • Working with Spark notebooks in Microsoft Fabric, using PySpark, Spark SQL, and potentially some Scala
  • Creating effective data models, reports, and dashboards in Power BI using DAX (and possibly M)
  • Supporting data governance, quality, and lifecycle best practices
  • Collaborating in a hybrid working setup, with occasional travel to client site


What we’re looking for:

  • At least 3 years’ hands-on experience with the Azure data platform
  • Strong working knowledge of:
  • Azure Data Factory
  • Azure Synapse Analytics
  • Power BI
  • Microsoft Fabric (or an understanding of BI platform modernisation)
  • Solid grasp of data warehousing and ETL/ELT principles
  • Strong communication and stakeholder engagement skills
  • Experience with SQL is essential, as the current structure is 90% SQL-based
  • Basic familiarity with Python (we're all at beginner level, but it’s occasionally required)
  • Openness to working with PySpark and potentially Scala (no prior Scala experience required, but a willingness to learn is appreciated)
  • Comfortable working directly with clients and managing technical discussions


Why apply:

  • Work on a key transformation project for a major retail organisation
  • Join a collaborative and experienced team delivering innovative Azure-based solutions
  • Competitive salary with flexibility through hybrid working
  • Opportunities for long-term engagement and career development


If you are interested in this position please apply here, or if you want to find out more information then please get in touch with Jack at

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.