Data Engineer

Methods Analytics improves society by helping people make better decisions with data, combining passionate people, sector-specific insight, and technical excellence to provide end-to-end data services.
Data
Mid-Level Software Engineer
Remote
AI · Enterprise SaaS

Description For Data Engineer

Methods Analytics exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach data to do good and solve difficult problems. We ensure that our outputs are transparent, robust and transformative.

Methods Analytics is recruiting for a Data Engineer to join our team within the Public Sector Business unit on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

As a Data Engineer, you will:

  • Work closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiences.
  • Collaborate on innovative projects, transforming raw data into powerful insights.
  • Utilise platforms like Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and PowerBI.
  • Design and implement efficient ETL and ELT pipelines.
  • Develop and maintain sophisticated data models using dimensional modelling techniques.
  • Implement best practices in data governance, security, and compliance.
  • Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes.
  • Develop intuitive and visually compelling Power BI dashboards.
  • Monitor and tune solution performance, identifying opportunities for optimisation.
  • Stay ahead of industry trends and advancements in Data Engineering tools and methodologies.

Join Methods Analytics to make a significant impact by enabling business leaders to make informed decisions, driving data innovation, and cultivating a data-driven culture within the organisation.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Work closely with cross-functional teams
  • Collaborate on innovative projects
  • Utilise platforms like Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and PowerBI
  • Design and implement efficient ETL and ELT pipelines
  • Develop and maintain sophisticated data models
  • Implement best practices in data governance, security, and compliance
  • Ensure data quality and integrity
  • Develop intuitive Power BI dashboards
  • Monitor and tune solution performance
  • Stay ahead of industry trends and advancements

Requirements For Data Engineer

Python
  • Proficiency in SQL and Python
  • Understanding of Data Lakehouse Architecture
  • Hands-On Experience with Spark-Based Solutions
  • Expertise in Building ETL and ELT Pipelines
  • Efficiency in Query Writing
  • Experience in Power BI Dashboard Development
  • Proficiency in Dimensional Modelling
  • CI/CD Mindset
  • Business Requirements Translation
  • Strong Communication Skills
  • Continuous Learning and Development

Benefits For Data Engineer

Medical Insurance
Vision Insurance
Dental Insurance
401k
  • Autonomy to develop and grow skills
  • Exciting project work
  • Strong leadership
  • Supportive environment
  • LinkedIn Learning access
  • Management development programme
  • Training
  • 24/7 Confidential employee assistance programme
  • Social events
  • 25 days annual leave
  • Pension Scheme
  • Discretionary Company Bonus
  • Life Assurance
  • Private Medical Insurance
  • Worldwide Travel Insurance

Interested in this job?

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