Jobs / Car***
Data Engineer
Car*** · London, ENG, United Kingdom
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London, ENG, United KingdomHybrid
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
About us We are a leading consultancy with a purpose to make an enduring impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, drive adoption of innovation and create value through investment.
Benefits
We contribute 7% of your salary into your pension, while you contribute 3% (or mAccess to a flexibleProgramme giving you the chance to increase pension contributions, gain access tAnnual leave purchase: employees with less than 35 days annual leave entitlementIncome protection: in the event of long-term incapacity and a qualifying claim,Enhanced sick pay benefit beyond Statutory Sick Pay for up to a total 12 weeks iEnhanced family leave policies: additional pay for parents who have a baby or adAccess to an interest-free loan of up to £10,000Access to an interest-free season ticket loan, repayable by 12 monthly instalmenWorkplace nursery scheme: access to a scheme to help working parents save tax anFlexible working policy: including the ability to work from home up to two daysAn employee assistance and wellness programme: including access to telephone cou
Qualifications
- of the role include:
- Around 2 to 3 years of experience in a data engineering or comparable technical data role
- Working SQL, used day-to-day on the lakehouse
- Intermediate Python for data transformation and automation
- Experience building automated data pipelines using PySpark or Spark, with appropriate monitoring
- Ability to write unit, functional and integration tests
Responsibilities
- You will learn actively from senior engineers, contribute to the team’s collective knowledge, and take on greater scope as you grow.
- of the role will include, but are not limited to:
- Engineering and delivery
- Build and maintain automated data pipelines using PySpark and Spark, with appropriate monitoring
- Build data models and pipelines under the guidance of senior colleagues, producing production-ready code or client-ready material
- Develop data quality, validation and consistency checks, and carry out data cleansing
- Develop unit, functional and integration tests, and follow the team’s Git and GitHub workflow
- Participate in agile ways of working: keep user stories and tasks up to date, and contribute to stand-ups, retros and show and tells
- Flag early when work is deviating from plan, and help identify and deliver mitigations
- Domain, clients and collaboration
- Build an understanding of healthcare data and the CF lakehouse: what is collected, how it is structured, and how new sources are brought in
- Work with teams to bring analytical insights to client problems
Skills
ExcelLeadership
Degrees
Associate
Languages
Arabic
Work schedule
Shift
Industry
AutomotiveEducationHealthcareInsuranceMedia
Company size
Smb
Contract length
3 years