Data Engineer - BI and ETL

Data Engineer - BI and ETL
Methods, United Kingdom

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Apr 9, 2021
Last Date
May 9, 2021
Location(s)

Job Description

Methods Analytics?is currently recruiting for a?Data Engineer (BI and ETL) to join our team on a?permanent?basis. This role will require flexibility to travel to client sites and is expected to be based in Sheffield, Bristol, or London.


Please note due to current COVID restrictions this role will be remote working until restrictions have been lifted.

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.

Requirements

The Data Engineer will be:

  • Working 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.
  • 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.
  • Designing and write and iterate code from prototype to production ready.
  • Communicating 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.
  • Creating effective data visualisation, appropriate to the audience
  • Aware of and keep up to date with advances in digital analytics tools and data manipulation products.
  • Collecting, collating, cleansing, synthesising and interpreting data to derive meaningful and actionable insights.
  • Understanding of how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services.
  • Producing data models and understand where to use different types of data models.
  • Ensuring that risks associated with deployment are adequately understood and documented.

Ideal Candidates will demonstrate:

  • Have strong T-SQL Development including debugging amp; troubleshooting
  • Have experience in SQL Server Integration Services (SSIS)
  • Have solid Relational Database design skills with an eye for performance optimisation
  • Have an ability to translate business requirements into technical specifications
  • Have attention to detail and ability to QA own and other team member's work
  • Work with the Senior Data Engineer to support the growth and development of the team
  • Have good experience with ETL
  • Infrastructure, Azure Data Factory / SSIS, SQL (On-prem/Cloud),
  • Have good experience with Analytical/Reporting
  • SQL (On-prem/Cloud), Analysis Services / Tabular Data Model, Power BI/TableauT-SQL
  • Understand analytical tools; you are numerate.

Desirable Skills amp; Experience:

  • Have experience with Python
  • 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

Benefits

Methods Analytics is passionate about its people; we want our colleagues to develop the thing

Job Specification

Job Rewards and Benefits

Methods

Information Technology and Services - London, United Kingdom
© Copyright 2004-2024 Mustakbil.com All Right Reserved.