Data Engineer
Posted 1 day ago by Russell Tobin
£28 Per hour
Inside
Remote
London Area, United Kingdom
Summary: The Data Engineer will be a key member of the analytics platform team, responsible for extracting large data sets from client IT systems and developing efficient ETL processes. This fully remote role involves building architectures for data ingestion and dissemination while tackling diverse projects across various industries. The position requires advanced technical skills and offers opportunities for intellectual growth and collaboration with colleagues.
Key Responsibilities:
- Extract large quantities of data from client's IT systems.
- Develop efficient ETL and data management processes.
- Build architectures for rapid data ingestion and dissemination.
- Collaborate on projects and share 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 (regression, decision trees, clustering, neural networks, etc.).
- 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.
Salary (Rate): £27.88/hr
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Engineer/6 months contract can be extended/Fully remote/Rate 27.88/hr Iside IR 35 +Holiday benifit
Duties
- You will be a core member of 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 plus
- Exposure 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 deadlines
- Strong 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