Analytics Engineer

ConvaTec Inc
Charing Cross, United Kingdom
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Business Analytics Applications
Data analysis
Azure
Cloud Database
Data Centers
Data Validation
Data Infrastructure
Decision Support Systems
Python
Performance Tuning
SQL Databases
Management of Software Versions
Sql Optimization
Microsoft Fabric
PySpark
Information Technology

Job description

As the first Analytics Engineer in the Data Centre of Excellence, you will build the scalable analytics foundations that unlock faster and more reliable decision support. You will create reusable metrics, semantic models, curated datasets, and data contracts, enabling federated analysts to self-serve with confidence. You'll partner with the Insight Analyst and the Technology Teams to ensure data is available in Microsoft Fabric, working within architecture guardrails and medallion principles., * Build and maintain semantic models (star schemas, measures, calculation patterns, performance tuning).

  • Develop reusable metric/KPI definitions and maintain consistency across reporting and analysis. Curate and publish business-ready datasets aligned to medallion architecture (silver
  • gold readiness).
  • Establish data contracts, versioning, and change control for key data products and metrics.
  • Introduce coding practices (standards, documentation, peer review) and implement data validation/testing.
  • Work with the relevant Technology team to ensure required data is available, reliable, and performant in Fabric.
  • Enable analysts through templates, exemplars, office hours, and best-practice guidance.

Requirements

Do you have experience in Warehouse experience?, Do you have a Bachelor's degree?, * Proven experience in analytics engineering / BI engineering / semantic modelling roles.

  • Advanced SQL with demonstrated semantic model design and optimisation experience.
  • Strong grasp of modern data modelling and medallion architecture concepts.
  • Experience working in agile delivery, prioritising speed with discipline.
  • Strong communication skills: able to align stakeholders and explain trade-offs.

Desirable:

  • Microsoft Fabric experience (Lakehouse/Warehouse, pipelines, notebooks, semantic models, deployment patterns).
  • Exposure to Python/R/PySpark for prototyping or large-scale transformations.
  • Domain experience: commercial, supply chain, manufacturing (healthcare a plus)., * Bachelor's degree in computer science, Mathematics, Statistics, Data Science, or a related quantitative field (or equivalent practical experience).
  • Background working with modern data platforms and analytics ecosystems.
  • Relevant certifications on data or analytics platforms (e.g., Microsoft Fabric, Azure, SQL/BI platforms, cloud data technologies) are strongly preferred.
  • Continuous learning mindset, with evidence of upskilling through certifications, training, or hands-on platform experience.

Working Conditions:

  • Role based in Lisbon with hybrid work schedule.

About the company

Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in Advanced Wound Care, Ostomy Care, Continence Care, and Infusion Care. With more than 10,000 colleagues, we provide our products and services in around 90 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Convatec's revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more please visit http://www.convatecgroup.com, At Convatec, we're pioneering trusted medical solutions to improve the lives we touch. If you're ready to make a real impact, apply today and help us bring our Forever Caring promise to life.

Apply for this position