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Senior Data Engineer and Team Leader - Trackers & Spending Guides - job post

International Data Group, Inc.
Praha
Plný úvazek
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  • Plný úvazek

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Úplný popis pracovní pozice:

Overview:

Join a team that is building a leading intelligence platform for IT vendors!

IDC seeks a skilled, motivated, and dedicated Senior Data Engineer and Team Leader to help build some of the most advanced data products. You will design and launch innovative analytical solutions by handling large datasets and developing tools for complex data operations. You’ll be part of the Tracker & Spending Guides Data Operations Team, which powers IDC’s global data products. If you are passionate about working with data and solving complex problems, this role is for you!

Responsibilities:

  • Lead a small team of Data Analytics Engineers, mentor them, and create an environment where they can develop themselves.
  • Develop tools and applications for research analysts to assist with data quality analysis, modeling, data cleaning, ML forecasting, and more, primarily using Python.
  • Build and optimize Python and Snowflake-based data pipelines to process IDC Tracker and Spending Guide data products.
  • Design architecture for ingesting, cleaning, and transforming data from multiple sources into a single destination.
  • Implement algorithms for data quality checks, outlier detection, and ensure accuracy and performance optimization.
  • Prototype, test, and deploy end-to-end data operation pipelines, while optimizing for performance and scalability.
  • Develop web-based applications using Streamlit for internal data visualization and reporting.
  • Collaborate with global technical and analyst teams to gather requirements and ensure data quality standards are met.

Qualifications:

  • BA/BS in Computer Science, Mathematics, Statistics, Data Engineering, or equivalent experience (3-5 years) in related fields.
  • 3-5 years of relevant work experience in a technical role, preferably with experience managing individuals for team outcomes.
  • Proficiency in Python (required) and experience with SQL-based environments like Snowflake, PostgreSQL, or similar databases (e.g., MySQL, Oracle, Microsoft SQL).
  • Strong communication skills for working with cross-functional teams.

Nice-to-Haves:

  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Familiarity with machine learning, Gen AI, and advanced forecasting techniques.
  • Experience developing algorithms for data quality checks and outlier detection.

Perks & Benefits:

  • 5 weeks of holidays + extra corporate days off
  • Sick days
  • Flexibility to work from home most of the week
  • Certain flexibility to schedule your working hours
  • Cafeteria system (use points on Flexipasses, pension/life insurance, or Multisport card)
  • Meal allowance

About the Tracker & Spending Guides Data Operations Team:

The IDC Tracker database is one of the cornerstones of IDC's data-driven insights, providing a highly structured, time-series dataset that delivers detailed market intelligence on various technology segments, including hardware, software, and services. The database tracks key performance metrics such as shipments, revenue, and market share across different companies, regions, and geographies, enabling users to make well-informed decisions based on current and historical trends.

One of the key features of the IDC Tracker is its chronological organization, which makes it possible to analyze market trends over time and identify shifts in market dynamics. The combination of historical data and future projections supports trend analysis and market forecasting, making the tool invaluable for strategic decision-making. Whether you’re looking at past performance or modeling future market behavior, the Tracker provides the data infrastructure to do so.

Expect to work with massive datasets containing millions of rows, requiring advanced data management, optimization techniques, and a deep understanding of efficient querying. By contributing to this data operations team, you’ll play a critical role in ensuring the quality and performance of these datasets, which are used by clients worldwide to drive business insights and strategy.

As a key contributor, you will develop tools and systems to streamline the processing and analysis of this global market data. You’ll work with Python and Snowflake to create algorithms and build optimized data pipelines that not only enhance performance but also ensure scalability for IDC's global offerings. The tools you develop will help analysts perform complex data operations, validate data quality, and integrate diverse data sources to maintain the integrity and accuracy of IDC's key products.

Join our team today and help us transform data into valuable insights for our colleagues and clients!

Why IDC?

IDG is a dynamic and innovative data, research, and services company at the forefront of guiding the global technology market ecosystem. Our mission is to help companies grow by putting technology insights into action, and empowering businesses to make better decisions and thrive in the digital-first age.


IDC, the largest division of IDG, is the most respected global technology market research firm. We are changing the way the world thinks about the impact of technology on business and society. Our people, data, and analytics create global technology insights that accelerate customer success. IDC has been recognized for four consecutive years (2020, 2021, 2022, 2023) by the IIAR as the Analyst Firm of the Year which is one of the highest accolades for the technology market research industry.


Recruitment Fraud Notice:
IDG/IDC/Foundry would like to inform you that we conduct our formal communications via corporate email, our Applicant Tracking System iCIMS, LinkedIn messaging, or directly by phone. We do not use any other platform (including Telegram, WhatsApp, Signal, text, instant message, etc.) to communicate with prospective candidates. If you receive any communication outside of our formal communications channels, please ignore it and block the sender or caller. In addition, we do not ask candidates to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to represent a job offer, please report it as potential job fraud to law enforcement.
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