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

Apply Now

Data Engineer - Microsoft Fabric

Agile
Leeds
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data engineer

Data Engineer

Data Engineer

Data Engineer

About Agile Solutions


Agile Solutions GB Ltd is focused on deriving true value from its customers data. We help them to manage, monetise, leverage and make better use of it. We provide advice, support and delivery services across various industry sectors covering a multitude of areas, ranging from Data Strategy, Governance and Security to Data Platform Modernisation, Cloud and Customer Intelligence. We do everything with a view to creating tangible business benefits for our customers. To achieve them, our Agile Information Management framework allows us to measure how we are performing and ensures we deliver the value that our customers deserve.


Summary


We are seeking a skilled and proactive Data Engineer with experience in Microsoft Fabric to join our growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives.


This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities, using discretion in identifying and resolving problems. You will operate under general direction and be expected to manage your own workload within clearly defined responsibilities.




Responsibilities


  • Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI).
  • Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions.
  • Build and manage data models and lakehouses in Microsoft Fabric.
  • Ensure data quality, integrity, and governance across all stages of the data lifecycle.
  • Monitor and optimise data performance and reliability.
  • Implement best practices for data engineering including CI/CD, testing, and documentation.
  • Work with cross-functional teams to support data analytics and reporting efforts.
  • Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem.



Requirements


  • Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services.
  • Knowledge of using PySpark in notebooks for data analysis and manipulation.
  • Strong proficiency with SQL and data modelling.
  • Experience with modern ELT/ETL tools within the Microsoft ecosystem.
  • Solid understanding of data lake and lakehouse architectures.
  • Hands-on experience with Power BI for data integration and visualisation.
  • Familiarity with DevOps practices, particularly around data pipeline deployment.
  • Good problem-solving skills and the ability to work under minimal supervision.
  • Effective communicator with stakeholders of varying technical expertise.



Benefits


Annual Leave:25 days + 8 Bank Holidays

Learn to Earn:Financial incentives for completing certifications and technical training.

Expenses:Reimbursement for travel and subsistence

Pension:Up to 6% pension contribution


Lifestyle/Personal Benefits:

a. Electric Vehicle Salary Sacrifice

b. Aviva Private medical Insurance

c. My Gym Discounts

d. Death in Service (4 x basic salary)

e. Pinnacle Award (Employee recognition with Amazon vouchers)

f. Subsidised employee parking (MK Office)

g. Enhanced Maternity and Paternity Pay


Culture and other benefits:

a. Career Progression, training, and development

b. Supportive and passionate colleagues

c. Social Solutions (supporting health and wellbeing)

d. Recognition for contributions and living AS values.

e. Flexibility in working hours/pattern.

f. Positive company brand, image, and reputation

g. Welcoming office premises in MK and Glasgow

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

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.

Jobs

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.

Jobs

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.

🍪 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.