Partner with cross-functional teams to interpret technical data concepts for non-technical stakeholders and ensure data initiatives support business objectives.
Collaborate within an agile delivery team on innovative data projects that convert raw data into strategic insights driving organisational change.
Leverage cloud data platforms including Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and Power BI to build end-to-end, scalable data systems.
Design and deploy efficient ETL and ELT workflows to integrate and transform data from diverse sources into reliable, high-quality datasets.
Create and maintain advanced data models using dimensional modelling techniques to enable effective analytics and reporting.
Enforce data governance, security, and compliance standards using tools such as Azure Purview, Unity Catalog, and Apache Atlas.
Maintain data integrity through rigorous quality assurance and continuous optimisation of data pipelines and queries.
Build intuitive and interactive Power BI dashboards that deliver actionable insights to business stakeholders.
Monitor system performance and implement tuning strategies to improve speed, reliability, and functionality of data solutions.
Stay current with evolving data engineering trends and integrate emerging tools, languages, and methodologies into daily practice.

Advanced proficiency in SQL and Python for solving complex data challenges.
Solid understanding of Data Lakehouse architecture principles and implementation.
Proven experience working with Spark-based platforms such as Azure Synapse, Databricks, or on-premise Spark clusters using PySpark or Spark SQL.
Demonstrated ability to design and implement scalable ETL and ELT pipelines, primarily in Azure environments using Azure Data Factory and Spark.
Skilled in writing high-performance, cost-efficient queries for optimal data retrieval.
Experience developing insightful and interactive Power BI dashboards to support business decision-making.
Strong capability in dimensional modelling to build effective, business-aligned data structures.
Familiarity with CI/CD practices, including automated testing, builds, and deployments in data engineering workflows.
Ability to interpret business requirements and convert them into clear technical specifications.
Strong communication skills with a focus on simplifying technical concepts for non-technical audiences.
Commitment to ongoing learning and development in data engineering technologies and best practices.

Familiarity with Microsoft Fabric and its core capabilities.
Experience managing large-scale, high-performance data systems handling over one billion records or terabyte-level databases.
Knowledge of Delta Tables or Apache Iceberg for efficient large-scale data lake management.
Experience using data governance tools such as Azure Purview, Unity Catalog, or Apache Atlas.
Exposure to real-time data technologies including Kafka, Azure Event Hub, and Spark Streaming.
Understanding of SOLID principles in object-oriented programming.
Familiarity with agile methodologies such as SCRUM to support iterative development.
Awareness of emerging technologies like GenAI, RAG, and Microsoft Copilot, along with relevant cloud or data science certifications.
Experience preparing and managing data for data science, AI, and machine learning applications.
Background working with public sector clients and understanding of their unique requirements.

Not specified

Hybrid

Hybrid working available in London, Sheffield, and Bristol.

This role requires Security Clearance.
Candidates must complete a Baseline Personnel Security Standard during onboarding.
Evidence required for security clearance is outlined on Gov.UK.
Employment may be delayed or denied if the candidate does not meet clearance requirements.
Role involves travel to client sites and company offices.
This is a permanent position.

Not specified

Methods Business and Digital Technology Limited is hiring a Senior Fabric Engineer