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Transform
Transform
201 – 500 Xodimlar
H1B vizasi homiysiLogistikaMarketingSog‘liqni saqlash
Transform davlat va xususiy tashkilotlarga ijobiy ijtimoiy ta’sir yaratish bilan birga raqobat ustunligiga erishishda yordam beradigan texnologiyalar va ma’lumotlar bo‘yicha konsalting kompaniyasidir. Uning ko‘p yo‘nalishli faoliyati foydalanuvchilar ehtiyojlarini aniqlash, xizmatlarni yaxshilash, yanada puxta tajribalar yaratish va raqamli transformatsiyani qo‘llab-quvvatlash uchun strategiya, tadqiqot, xizmatlar dizayni, texnologiya, ma’lumotlar hamda o‘zgarishlarni amalga oshirish yo‘nalishlarini birlashtiradi. Kompaniya sog‘liqni saqlash, logistika va marketing kabi sohalarda aniq natijalar va mazmunli o‘zgarishlarga yo‘naltirilgan inklyuziv, yuqori samaradorlikka ega madaniyat asosida faoliyat yuritadi.
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Kompaniyadagi ish o‘rinlari

Data Engineer - Hybrid, United Kingdom

Build pipelines, data models, and analytics solutions for Transform’s public-sector and enterprise clients. Improve data quality and delivery as part of agile engineering teams.

GBBuyuk BritaniyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AirflowAWSAzureBulutPythonSQL

Tavsif

  • Develop and support data pipelines, transformations, and related engineering processes
  • Apply business rules and create data models that satisfy agreed requirements
  • Take part in code reviews, testing, deployments, and ongoing operational support
  • Investigate and fix data quality problems and pipeline failures
  • Work productively with cross-functional colleagues in agile delivery teams
  • Record technical solutions and help maintain shared engineering standards
  • Turn business and technical requirements into reliable, maintainable solutions
  • Help improve the team’s delivery practices and standards over time

Talablar

  • Demonstrated proficiency in SQL and Python
  • Experience operating production data pipelines with contemporary data engineering tools
  • Solid knowledge of data modelling, warehousing, and data quality practices
  • Practical experience with at least one cloud platform, including Azure or AWS
  • Working knowledge of CI/CD, source control, and software testing
  • Strong analytical, troubleshooting, and communication abilities
  • Experience with Databricks, Data Factory, Fabric, Airflow, DBT, or a comparable tool is advantageous
  • Experience handling both structured and semi-structured data is advantageous
  • Awareness of data security, governance, and compliance considerations is advantageous
  • Interest in emerging technologies, especially developments across AI and data
  • Commitment to ongoing learning and a growth-oriented approach

Imtiyozlar

  • 28 days of holiday, with the option to buy or sell up to 5 days; 3 days are reserved for the Christmas period
  • A day off on or during the week of your birthday
  • Pension contributions matched by the employer up to 5%
  • Private healthcare coverage
  • Life assurance
  • Enhanced maternity, paternity, and shared parental leave
  • Cycle-to-work schemes
  • Gym and retail discounts
  • Regular social events and activities
  • Additional options through the flexible benefits package
  • Work with meaningful impact in an environment that supports professional growth
  • A supportive, inclusive, and trusted workplace
  • Adjustments can be provided during the recruitment process

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