Data Engineer

Use your skills as a Data Engineer to tackle some of today's most challenging societal issues.

Super flexible working setup and only a two-stage interview process

SR2 is supporting a truly mission-driven organisation using data to positively impact the lives of some of society's most vulnerable people.

Job Description:

• Transform data into insights, facilitating informed business decisions.
• Execute end-to-end activities encompassing requirement analysis and design.
• Develop robust analysis and reporting functionalities.
• Continuously oversee performance and quality control plans to discern avenues for enhancement.

Responsibilities:

• Interpret data, employing statistical techniques to analyse results and furnish regular reports.
• Devise and deploy data collection systems and strategies to optimise statistical efficiency and data quality.
• Source data from primary or secondary sources and maintain databases/data systems.
• Identify, analyse, and interpret trends or patterns within intricate data sets.
• Refine and sanitise data, scrutinise computer reports, printouts, and performance indicators to rectify code issues.
• Collaborate closely with management to prioritise business and informational requisites.
• Identify and define opportunities for process enhancement.
• Generate monthly Risk-Based Verification reports for clients, overseeing the entire process from data management to report generation, portal upload, and client notification (on a rotational basis).
• Manage and update the Troubled Families tracker for assigned clients as required.
• Oversee day-to-day data load management activities for client allocations, including organisation management, user management, data sharing protocol management, end-to-end data file setup, data cleansing, data load testing (for all new files), and data matching correction activities.
• Execute Troubled Families managed service duties for designated clients as necessary.

Requirements:

• Demonstrated experience as a data analyst or data engineer.
• Proficiency with Microsoft Azure
• Proficiency in technical aspects such as data models, database design and development, data mining, and segmentation techniques.
• Extensive familiarity with reporting packages (e.g., Business Objects), databases (e.g., SQL), programming languages (e.g., XML, JavaScript, or ETL frameworks).
• Knowledge of statistics and proficiency in statistical packages for analysing large datasets (e.g., Excel, SPSS, SAS).
• Strong analytical skills, capable of collecting, organising, analysing, and disseminating substantial amounts of information with precision and attention to detail.
• Proficient in queries, report writing, and presenting findings.

The company has an office presence in London but there is a high degree of remote working on offer. Ideally, you will be able to work in the London office once a week.

Please apply and I can give you a call to discuss in more detail.