Enable business leaders to make informed decisions with confidence through timely, accurate data insights
Drive adoption of modern data architectures and platforms
Deliver seamless data solutions that enhance user experience
Help cultivate a data-driven culture within the organisation
You Will Demonstrate:
Strong proficiency in SQL and Python for handling complex data problems
Experience building and optimising ETL/ELT pipelines
Hands-on experience with Apache Spark (PySpark or Spark SQL)
Experience with the Azure data stack
Knowledge of workflow orchestration tools like Apache Airflow
Experience with containerisation technologies (Docker)
Ability to craft efficient and performant queries
Proficiency in dimensional modelling techniques
Experience with CI/CD pipelines for data solutions
Familiarity with test-driven development principles applied to data pipeline construction and validation
Strong communication skills for translating technical concepts to non-technical audiences
Business requirements analysis and translation into technical specifications
You may also have some of the desirable skills and experience:
Experience with data visualisation tools like Power BI or Apache Superset
Experience with other cloud data platforms like AWS, GCP or Oracle
Experience with modern unified data platforms like Databricks or Microsoft Fabric
Familiarity with modern data lakehouse architectures
Knowledge of legacy ETL tools like SSIS
Experience with Kubernetes for container orchestration
Understanding of streaming technologies (Apache Kafka, event-based architectures)
Software engineering background with SOLID principles understanding
Experience with data governance tools
Experience with high-performance, large-scale data systems
Familiarity with Agile development methodologies
Knowledge of recent innovations in AI/ML and GenAI
Defence or Public Sector experience
Consultant experience
Security Clearance:
Our Hiring Process
At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect:
Internal Application Review
Initial Phone Screen
Technical Interview
Collaborative Pair Programming Exercise
Final Interview
Offer
Working at MA
Methods Analytics (MA) 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 to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We va
Additional Information
Data Engineer (Analytics)
T00:00:00.000Z
London
Capabilities
full
Salary: £40k - £60k
Methods Analytics (MA) is recruiting for a Data Engineer to join our team 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.
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
Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights
Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow
Build scalable data solutions leveraging cloud platforms and technologies
Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting
Implement best practices in data governance, security, and compliance to maintain data integrity
Ensure data quality through rigorous QA processes, continuously refining and optimising data queries
Develop intuitive dashboards that provide actionable insights to stakeholders
Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems
Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies
Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice
Methods · Sheffield