Data Engineer
Posted 4 days ago by eTeam
Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The Junior Data Engineer role involves being a key member of the client analytics platform team, focusing on data extraction, ETL processes, and data architecture for a cloud platform. The position offers exposure to diverse industries and intellectual challenges while developing technical skills. The role requires collaboration with colleagues and ownership of model development. A strong educational background in quantitative fields is essential for success in this position.
Key Responsibilities:
- Extract large quantities of data from client's IT systems.
- Develop efficient ETL and data management processes.
- Build architectures for rapid ingestion and dissemination of key data.
- Collaborate on projects and exchange experiences with colleagues.
- Serve as the point person in data architecture and management for the cloud platform.
Key Skills:
- Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop, and/or other big data technologies.
- Advanced programming skills in Java, Python, R, C++, C#, etc.
- Knowledge of statistical and data mining techniques.
- Experience with data visualization tools is a plus.
- Intellectual curiosity and excellent problem-solving skills.
- Ability to independently own and drive model development.
- Strong people skills and team orientation.
- Bachelor's degree in a quantitative field; advanced degree is a strong plus.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Junior Data Engineer
Location: London, UK (Remote)
Job Type: Full-time contract, 6 months with possible extension
Duties:
- You will be a core member of Client analytics platform team responsible for extracting large quantities data from client's IT systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
- Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.
- You will be exposed to an enormous variety of topics across many different industries such as, a world-leading bank figuring out how to best do its customer care across all of its channels, a railway determining optimal crew deployment, or a medical care provider understanding the main drivers for delays in surgery scheduling.
- In this role, you will be the point person in data architecture and management for our cloud platform and other high-tech initiatives.
Skills:
- Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies.
- Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.).
- Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus.
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions.
- Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills, team-orientation, and a professional attitude.
- Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
Education:
- Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus