Regulatory Data Engineer – Yordas Group
Join Yordas Group in Lancaster, UK.
We’re looking for a data engineer with strong data modelling and handling experience to join our Regulatory Data team. You’ll help shape and maintain systems that manage high-quality substance regulatory data, supporting both our new and legacy platforms.
Responsibilities
* Investigate the technical requirements of data extractions.
* Perform final quality checks of extracted data and methods used.
* Analyse extracted data objects for compatibility with target data structures.
* Create transformation instructions for data sets, and configure target systems.
* Work with data owners to ensure that data sets upload and display correctly.
* Ensure data quality at each step of the process and end‑to‑end.
* Support the extraction team’s codebase of modules.
* Experiment with new methods in data extraction.
* Collaborate with the team of Data Technicians and Subject Matter Experts (SMEs) for regulatory insight.
Additional Tasks
* Design extraction strategies for extensive or problematic sources.
* Respond to stakeholder queries and provide status updates.
* Document processes and decisions to support transparency and reproducibility.
* Assist colleagues with data manipulation and validation tasks.
* Design reusable tools and methods to assist data management.
Essential Qualifications
* Experience with relational databases and structured data formats (XML, JSON, CSV).
* Experience with Python (including Selenium, Pandas, web scraping, data handling).
* Experience with advanced data methods in Microsoft Excel and Google Sheets.
* Strong logical and analytical skills and ability to visualise complex systems.
* Strong attention to detail and accuracy.
* Strong written and verbal communication skills.
* Experience working in a quality‑focused team.
* Interest in chemical regulations and the context behind regulatory data.
* A grade 4/C in Maths and English GCSE or equivalent, plus an advanced level or equivalent qualification in STEM subjects.
Desirable Qualifications
* Professional experience in data modelling, ETL, or data quality control.
* Undergraduate degree in a STEM field.
* Experience with work‑management practices and frameworks (Kanban, Agile, Scrum).
* Experience with spreadsheet macro languages (Visual Basic, Google Apps Script).
* Familiarity with regulatory or scientific data.
* Enthusiasm for researching topics and methods outside of your current areas of knowledge.
Benefits
* Pension scheme and medical benefits.
* Generous holidays.
* Professional development.
* Social culture.
* Flexible working.
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