Data Engineer at Methods, Remote, 2 Months, £Good Day Rate

  • Contract Spy
  • Remote (Bristol, England, United Kingdom)
  • Sep 14, 2020
up to 6 Months

Contract Description

Methods Analytics is currently recruiting for a Data Engineer with solid PowerBI, T-SQL and SSIS skills to join our team on a contract basis.


Location: Remote (need to be UK based)


Length: 2 months


Start: ASAP



About Methods Analytics:


Methods Analytics provide strategic and operational intelligence concerning the activity, quality and safety of Healthcare services. Our team is comprised of highly qualified and experienced information and analytics specialists. Our focus is the healthcare market in the UK, however, we also work with a wide range of public and private sector clients including local and central government.


We deliver actionable knowledge on population provision, activity and outcomes to the public, commissioners, providers, policy makers and commercial organisations. Our work helps them base their decisions on comparable and transparent intelligence. We use a wide range of information sources and tools to ensure that our information is robust, and evidence based, and we work closely with stakeholders and the public to understand the type of intelligence they need from us.


We have a strong track record and are recognised as one of the pioneers and innovators in Open thinking within the UK public sector. We are passionate about providing impartial and pragmatic advice -we aim to reduce risk and create simple enabling structures to improve the quality and efficiency of Healthcare in the UK.


As a Data Engineer, you will work with other members of the delivery team across a mix of large and small projects and be responsible for translating data into valuable insights that inform decisions for small to large transformation projects and programmes.



The Data Engineer will:

  • Responsible for identifying and using the most appropriate analytical techniques.
  • Developing fit-for-purpose, resilient, scalable and future-proof data services that meet user needs.
  • Design and write and iterate code from prototype to production ready.
  • Create effective data visualisation, appropriate to the audience
  • Be aware of and keep up to date with advances in digital analytics tools and data manipulation products.
  • Collect, collate, cleanse, synthesise and interpret data to derive meaningful and actionable insights.
  • Demonstrate understanding of how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services.
  • Produce data models and understand where to use different types of data models.
  • Ensure that risks associated with deployment are adequately understood and documented.
  • Communicate effectively across organisational, technical and political boundaries to understand the context and how to make complex and technical information and language simple and accessible for non-technical audiences.




Ideal Candidates will demonstrate:


  • Experience of creating PowerBI solutions and dashboards from row level data including data structure optimisation through to visualisation and dashboard creation.
  • Strong T-SQL Development including debugging & troubleshooting.
  • Experience in SQL Server Integration Services (SSIS).
  • Excellent Relational Database design skills with an eye for performance optimisation.
  • Good experience with ETL
  • Good experience with Analytical/Reporting.
  • Understanding of analytical tools; you are numerate.


Desirable skills:


  • Knowledge of statistics principles necessary to interpret data and apply models. For example, knowledge of errors and confidence intervals to understand whether a relation seen in the data is real.
  • Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
  • Working within a continuous integration environment with automated builds, deployment and unit testing
  • Exposure to iterative/agile development methodologies such as SCRUM
  • Knowledge of Healthcare data, specifically NHS Data sources such as HES, SUS PbR



Remote working

Good day rate