\n\n","datePosted":"2023-02-06T11:02:25.745Z","employmentType":[],"hiringOrganization":{"@type":"Organization","name":"McKinsey & Company","sameAs":"https://mckinsey.com","logo":"https://cdn.filestackcontent.com/output=f:webp,t:true,q:80,c:true/cache=expiry:max/resize=w:340/P77DPRtGTye15MmkcIyC"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland"}}}
Analytics
Apply Now
Data Engineer - QuantumBlack
McKinsey & Company
Data Science
Warsaw, Poland
Posted on Monday, February 6, 2023
Data Engineer - QuantumBlack
We're looking for data engineers of various seniority levels to join our growing QuantumBlack hub in Warsaw!
Who You'll Work With
Your colleagues
You'll be part of a global data engineering community and work in cross-functional, agile project teams alongside project managers, data scientists, other data engineers and industry experts.
You'll work hand in hand with our clients, from data owners and users to C-level executives
Who you are
You are a highly collaborative individual and enjoy solving problems that focus on adding business value.
You have a sense of ownership and enjoy hands-on technical work. Our values resonate with yours.
The Tech stack you'll work with
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, SQL, Airflow, Databricks, our own OSS called Kedro (check out a Kedro tutorial video here), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure and more!
What You'll Do
As a Data Engineer at QuantumBlack you will...
- Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
- Design and build data pipelines to support data science projects following software engineering best practices
- Use state of the art technologies to acquire, ingest and transform big datasets
- Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
- Create and manage data environments in the cloud or on premise
- Ensure information security standards are maintained at all time
- Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
- Be flexible to travel to our clients' offices to deliver presentations, gather information or share knowledge
- Have the opportunity to contribute to R&D and internal asset development projects
What you'll benefit from
- Real-World Impact– No project is ever the same. We work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally.
- Fusing Tech & Leadership– We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
- Multidisciplinary Teamwork– Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
- Innovative Work Culture– Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
- Striving for Diversity– With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life... check out our Women Transforming Tech highlights reel and our Kedro playlist🎧
There is flexibility to hire at various levels, depending on candidate experience.
Qualifications
- Master’s degree and at least one degree in a technical subject such as computer science, engineering or mathematics
- Experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
- Ability to write clean, maintainable and robust code in Python, Scala or similar languages
- Familiarity with the latest OSS, cloud, container, query languages and database technologies
- Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
- Commercial client-facing or senior stakeholder management experience is a plus
- Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields – both verbally and in writing – in English
- Knowledge of Polish is a plus
- Willingness to travel up to 60%
Job Skill Group - CSS Pre-Associate
Job Skill Code - SFDS - Senior Fellow, Data Science
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Thu Aug 25 00:00:00 GMT 2022
LinkedIn Posting City - Warsaw
LinkedIn Posting State/Province -
LinkedIn Posting Country - Poland
LinkedIn Job Title - Data Engineer - QuantumBlack
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Information Services;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Not Applicable
Job Skill Code - SFDS - Senior Fellow, Data Science
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Thu Aug 25 00:00:00 GMT 2022
LinkedIn Posting City - Warsaw
LinkedIn Posting State/Province -
LinkedIn Posting Country - Poland
LinkedIn Job Title - Data Engineer - QuantumBlack
LinkedIn Function - Consulting;Engineering;Information Technology
LinkedIn Industry - Information Services;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Not Applicable