Employment type: FTC
Location: Kent (travel with purpose)
Salary: £45 – £55K FTC
Recruiter: David Laking
Morpheus are proud to be working with one of the leading insurance providers in the UK.
Within this role, you’ll hold responsibility for the creation and maintenance of a logical data model, integrating data from multiple data sources into a central enterprise data warehouse. You’ll be able to design and apply data cleansing and data standardisation rules, providing clear documentation of the business rules embedded in the system, with the potential of solving data quality issues.
Whilst you’ll have a variety of stakeholders, you’ll work closely with the wider Data team to understand what the data journey needs to look like (conversion, processing, etc), specifically working closely with the Data Architect to create an overview of the data lineage.
Please note this role will initially be working from home, with a shift to a hybrid office/home working set up as lockdown restrictions evolve. We’re also committed to the work/life balance of our teams, so we’re happy to consider flexible working options.
You’ll have a strong development background with experience using SQL for OLAP/Data Warehouse style modelling, and will have a track record in creating Star Schema Data models for BI solutions. You’ll also feel comfortable working with modern Big Data technology and tooling. A sound awareness of Data Management best practice is a must, including Data Lifecycle Management across Core IT and Big Data ecosystems, as well as a firm understanding of Data Privacy and Security constraints.
You’ll naturally be someone who adapts well to change and actively seeks out ways to improve efficiency, as well as having an interest in learning new frameworks and languages. You’ll feel at ease advising on the use of data for actionable analytics, and also share our passion for putting our customers first with the end-user being at the forefront of your decisions.
As the role offers a healthy level of autonomy, you’ll thrive working with minimal guidance, and feel comfortable using your own initiative. You’ll apply your analytical thinking to ensure effective problem-solving.
AZURE experience is key.
80%SQL 20% Python though they are aiming to use more python to automate and use NoSQL as well.