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Regulatory Data Engineer

Yordas Group
Lancashire
1 month ago
Applications closed

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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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