Работа Data Expert

204 нови обяви за работа

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Yox Изчислена Заплата

Какво е това?

Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.

Как се смята?

Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.

Защо тази информация е полезна?

Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.

Senior Data Engineer

Experian
location_on гр. София

icon 5,230 лв / месец (изчислена от Yox)

Пълно описание


Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

What you will do:

  • Work on modern data platforms, analytics solutions, process automation and new AI-enabled capabilities across multiple business domains
  • Develop advanced analytical and data engineering solutions supporting data analysis and ad-hoc insights.
  • Develop scalable, cloud-native data platforms and pipelines for structured and unstructured data.
  • Develop scalable ETL/ELT pipelines using modern cloud-native services.
  • Collaborate with analytics, product, engineering and partners to translate requirements into reliable, high-value data solutions.
  • Provide technical guidance and mentorship, ensuring adherence to established engineering standards and quality procedures.
  • Develop data solutions using modern cloud technologies (e.g., S3, Redshift, Glue or equivalent services).
  • Take ownership of data solutions throughout their lifecycle, from requirements gathering and development to deployment and continuous improvement.
  • Explore and implement modern data, automation and AI technologies to improve operational efficiency and data quality


Qualifications

What you will bring:

  • Bachelor's degree in computer science, Mathematics, Statistics or a related quantitative field.
  • 4+ years of experience in the field of data analytics;
  • Experience designing data engineering solutions in AWS environments.
  • SQL expertise and programming skills (Python / PySpark preferred).
  • Hands-on experience with ETL/ELT, distributed processing and modern data architecture patterns.
  • Experience with integration patterns and secure data handling practices.
  • Experience working in Agile teams.
  • Analytical thinking and ability to collaborate with all kinds of partners.


Additional Information

What you will get:

  • Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
  • Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
  • Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
  • Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
  • Opportunity for Flexible working hours and Home Office.


Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers .

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Средна заплата за сектора


5,230 лв / месец (изчислена от Yox)

info-icon Средна работна заплата за града изчислена от YOX

минимална

500 лв / месец

максимална

700,000 лв / месец

Мнения и оценки от служители


3.4
Добра
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3.2
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Заплата и Придобивки
3.3
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Култура и Ценности
3.1
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Кариера и възможност за развитие
3.3
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Баланс между работата и живота
3.6
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Колеги
3.1
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Местоположение
3.6
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Стабилност
3.9
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Общо усещане
4.0
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Управление
4.0
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Толерантност и Равенство
2.3
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Работна среда

Изследовател на данни/изследователка на данни


Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.

Необходими основни умения

  • съставяне на научни или академични документи и техническа документация
  • нормализиране на данни
  • управляване на изследователски данни
  • използване на техники за обработване на данни
  • тълкуване на текущи данни
  • взаимодейства професионално в научноизследователска и професионална среда

Необходими основни знания

  • проучване на данни
  • техники за визуално представяне
  • извличане на информация
  • статистика
  • категоризиране на информация
  • език за описание на търсене на мрежови ресурси

Добави резюме

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info
Това е резюмето, което от ще разгледат за твоята кандидатура

Финален преглед

Увери се, че информацията е точна и ако всичко е наред натисни „Изпрати“ и твоята кандидатура отива незабавно за преглед в .

Информация за обратна връзка

Резюме

Вие се съгласявате с общите условия на Yox. При натискане на кандидатствай: 1) вие се съгласявате с общите условия на Yox, Политиката за Поверителност и Политиката на използване на бисквитките. Съгласявате се и разрешавате вашето резюме да може да бъде изпратено към работодателя (не е гарантирано получаване) и да продължи да се обработва и анализира съгласно нашите условия и политики. Натискайки „Изпрати“се съгласяваш с на Yox.bg
done
Честито, вашето резюме беше изпратено успешно!

При интерес от работодателя очаквайте връзка на посочените от вас контакти.