Data Engineer - Energy Insights

Qualifications

  • University degree or College diploma in a technical discipline such as computer science, information systems, engineering, mathematics, statistics
  • 1+ years of overall experience in IT with a focus on databases and/or ETL
  • Avid predilection to data management & processing in general
  • Strong technical troubleshooting and analytical skills
  • Understanding of economic, financial, and general business concepts and terminology
  • Knowledge of Data /Web Content/Text Mining domain is a plus

Who You'll Work With

You will join our Energy Insights team and will be based in our Wroclaw, Poland office. You will work closely with your manager, the leadership of Energy Insights, and a range of colleagues across the firm. Energy Insights is part of McKinsey Solutions and McKinsey's New Ventures.

Energy Insights, a specialist data and analytics unit, provides distinctive analysis, insights, and support to energy players. We offer services along the oil and gas value chain, including exploration and production, refining and marketing, natural gas, trading and oil field services, and equipment.

Energy Insights' dedicated specialists apply proprietary tools and methodologies and a data-driven approach. With our strong ties with McKinsey's oil and gas consulting practice and access to the expertise of the wider McKinsey network, our research and analysis yield knowledge available nowhere else.

What You'll Do

You will identify, gather, and assure data quality and design and develop automated data collecting processes using a wide range of tools and techniques.

You'll will be able to grow your technical skills by implementing code and scripts (SQL, Python, C#). In order to lead to continual process improvement, you will contribute your ideas and innovations. As an active team member, you'll develop an understanding of the fundamentals of specific oil & gas markets (e.g. upstream, unconventional, OFSE, downstream, gas) and contribute to the development, enhancement, and upkeep of specific market forecasting analytical tools. Over time you will be required to contribute to the strategic direction of your area and help develop new and more detailed data-related tools.


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