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Data Engineer; Fabric-Platforms

Job in Bristol, Bristol County, BS1, England, UK
Listing for: Methods Business and Digital Technology
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 50000 - 65000 GBP Yearly GBP 50000.00 65000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (Fabric-Platforms)

Methods Analytics (MA) is recruiting for aData Engineer to join our team within the Public Sector Business unit on a permanent basis.

This role will be mainly remotebut require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

Salary : £50k - £65k

What You’ll Be Doing as a Data Engineer
  • Work closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiences and aligning data solutions with business needs.
  • Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights that shape strategic decisions and drive business transformation.
  • Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and Power

    BI to build robust, scalable, and future-proof end-to-end data solutions.
  • Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation of data from various sources to deliver clean, reliable data.
  • Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting.
  • Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, Unity Catalog, and Apache Atlas to maintain data integrity and trust.
  • Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data queries for performance and cost-efficiency.
  • Develop intuitive and visually compelling Power BI dashboards that provide actionable insights to stakeholders across the organisation.
  • Monitor and tune solution performance, identifying opportunities for optimisation to enhance the reliability, speed, and functionality of data systems.
  • Stay ahead of industry trends and advancements, continuously enhancing your skills and incorporating the latest Data Engineering tools, languages, and methodologies into your work.
Your Impact
  • Enable business leaders to make informed decisions with confidence by providing them with timely, accurate, and actionable data insights.
  • Be at the forefront of data innovation, driving the adoption and understanding of modern tooling, architectures, and platforms.
  • Deliver seamless and intuitive data solutions that enhance the user experience, from real-time streaming data services to interactive dashboards.
  • Play a key role in cultivating a data-driven culture within the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice

Requirements

You Will Demonstrate
  • Proficiency in SQL and Python:
    You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease.
  • Understanding of Data Lakehouse Architecture:
    You have a strong grasp of the principles and implementation of Data Lakehouse architecture.
  • Hands-On Experience with Spark-Based Solutions:
    You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets.
  • Expertise in Building ETL and ELT Pipelines:
    You are skilled in building robust ETL and ELT pipelines, mostly in Azure, utilising Azure Data Factory and Spark-based solutions to ensure efficient data flow and transformation.
  • Efficiency in Query Writing:
    You can craft and optimise queries to be both cost-effective and high-performing, ensuring fast and reliable data retrieval.
  • Experience in Power BI Dashboard Development:
    You possess experience in creating insightful and interactive Power BI dashboards that drive business decisions.
  • Proficiency in Dimensional Modelling:
    You are adept at applying dimensional modelling techniques, creating efficient and effective data models tailored to business needs.
  • CI / CD Mindset:
    You naturally work within Continuous Integration and Continuous Deployment (CI / CD) environments, ensuring automated builds, deployments, and unit testing are integral parts of your development workflow.
  • Business Requirements Translation:
    You have a knack for understanding…
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