Работа Data Engineer

101 нови обяви за работа

  • icon 5,000 лв - 7,000 лв / месец (нето) от работодател

    Human Power BG is an HR agency that offers consultations and recruitment for some of the best companies in Bulgaria. ~~~ Our client build a leading international learning platform for medical education, serving students as well as universities and...

    06 Jun 2025 Още...
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    HMG LINKS Ltd is a local multi-sector recruitment company focused on tailor-made solutions for its partners’ human resources needs. We strongly believe in an honest and ethical approach to recruitment. Data and tools? You are an analytical thinker...

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  • Data engineer

    Nexo

    гр. София

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    Our client is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so are they. They are leaving the traditional bank behind them and they are choosing to move forward ...

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Популярни търсения:

DATA ENGINEER

icon 5,000 лв ~ 7,000 лв / месец

Пълно описание


Human Power BG is an HR agency that offers consultations and recruitment for some of the best companies in Bulgaria.

~~~

Our client
build a leading international learning platform for medical education, serving students as well as universities and medical institutions. It is their mission to make high-quality education available to as many people as possible, and spread specialized knowledge around the world. We have hundreds of corporate and educational clients around the world as well as millions of end-users.

We are looking for a highly skilled Data Engineer to design, build, and maintain robust data solutions within their growing analytics team. You'll play a pivotal role in developing and optimizing data pipelines, managing data warehouses and data lakes, and ensuring that our data infrastructure is scalable, reliable, and built for growth.

Key Responsibilities:

  • Design, build, and maintain scalable and efficient data solutions, ensuring smooth data flow and accessibility;
  • Assist in the administration of their operational MySQL database and propose optimization strategies for enhanced performance;
  • Continuously improve and optimize existing data pipelines while designing and creating new ones to support evolving business needs;
  • Manage and develop their data warehouse and data lake, ensuring they are well-structured and aligned with best practices;
  • Research and analyze new data sources to drive the development of internal processes and introduce new features for their data architecture;
  • Support the infrastructure and strategy for scalable data APIs, caching mechanisms, and data distribution;
  • Identify, evaluate, and resolve data quality issues, and propose solutions to improve data reliability and consistency over the long term.


Qualifications and Skills

  • 3+ years of experience as a Data Engineer or similar role;
  • Deep expertise in data warehousing and designing efficient and scalable data pipelines;
  • Strong programming skills in Python and Spark for ETL processes and data manipulation;
  • Experience with AWS services such as DynamoDB, S3, Glue, Lambda, Kinesis, and others for data storage, processing, and streaming;
  • Proficiency in MySQL for relational database administration, as well as MongoDB, Redis for diverse data needs;
  • Practical experience with Airflow for orchestrating complex workflows and Terraform for infrastructure as code;
  • Linux Bash/Shell scripting experience for automation and efficient data processing;
  • Ability to work independently and set up end-to-end solutions with limited support from DevOps and other engineering teams;
  • Fluent in English with strong communication skills for cross-functional collaboration;
  • Self-driven and fast learner, capable of staying up-to-date with the latest tools and technologies.


Beneficial Experience:

  • R programming skills for data analysis and backend support;
  • Experience with Google BigQuery for additional cloud-based data warehousing solutions;
  • Familiarity with automation tools like n8n to streamline workflows.


What They Offer:

  • A collaborative environment where you can develop and implement innovative data solutions;
  • Opportunities to work with a diverse set of tools and technologies, primarily within the AWS cloud ecosystem;
  • A supportive and growth-oriented team that values your contributions and encourages continuous learning.
  • You are part of a highly engaged, motivated, and professional team;
  • Possibility for remote work (within Bulgaria) or hybrid work with a great team;
  • 25 days of paid vacation per year;
  • Opportunities for learning and further professional development;
  • Additional Health Insurance;
  • Multisport card etc.


~~~~~~~~~~

If this position is of interest to you and you meet the requirements, please send your updated CV.

For any questions you may have, please contact us: 087 834 4981

Thank you!

~~~~~~~~~~

We will contact only approved candidates! Our services are free of charge to all applicants.
  • **
All candidates will be treated in strict confidence.

All data provided by you is protected by the meaning of the Personal Data Protection Law and will be used only for the purposes of this selection.
  • **
Human Power has an indefinite license 3084 issued by the National Employment Agency to provide services in the field of human resources.
  • **

Средна заплата за сектора


5,000 лв ~ 7,000 лв / месец

info-icon Посочена от работодателя

минимална

500 лв / месец

максимална

13,500 лв / месец


icon icon icon icon icon

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

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Информация за обратна връзка

Резюме

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