Data Engineer

2

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