Data Engineer (DBT, Snowflake, Python) -TOP Pharmacare!

Robert Half
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Data Engineer (Data Science)

Data Engineer - Data Science & ML for Marketing Analytics

Data Engineer (Data Science)

Data Engineer: Data Pipelines & DataOps (Edinburgh, 6m)

Data Engineer (DBT, Snowflake, Python) -TOP Pharmacare!

Do you want to work in a brand-new team with full Autonomy?

Are you driven and commercial? Do you like working in a fast-paced environment?

Do you want to work in a company where you can make a BIG Impact?

The Data Engineer MUST HAVE DBT and or Snowflake experience along with Python

This role is based in London 2days in the office More flexibility when and if needed. You will be working with a Pragmatic Hiring Manager who has a good understanding of emotional intelligence.

Vision for this role:

The Data Engineer will be joining a BRAND-NEW Team and play a pivotal role in the current and future data strategy. You will be working with a High-End Technology Tech Stack which allows a Robust Data Pipeline for Data Lake Infrastructure that allows Portfolio managers to collect, validate and analyse large datasets.

Qualifications/experience required

  • Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
  • 5+ years experience in business analytics, data science, software development, data modelling or data engineering work, ideally in Tech or Financial Services/FinTech
  • 3+ years experience as a Data Engineer manipulating and transforming data in SQL, DBT and Snowflake.
  • 1+ years experience translating business requirements to technical requirement.

Competencies/skill set

  • The Data Engineer MUST HAVE DBT and Snowflake experience and proficiency in programming languages such as Python and SQL for data processing, manipulation, and analysis
  • Experience with big data technologies and frameworks.
  • Strong understanding of data modelling concepts, ETL and ELT processes, and data warehousing principles
  • Knowledge of cloud computing platforms, in particular Azure, and experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, and Azure Databricks for data storage, processing, and analytics
  • Knowledge and experience with Git operations, GitHub copilot and CI/CD flows
  • Familiarity with data visualisation tools and techniques, especially Power BI, for creating interactive dashboards and reports
  • Passion for data and the desire to learn & adopt new technologies

This role offers a competitive base salary and up to 10-20% bonus potential,

25 days holidays

Pension

Medical Care
Don't miss out on this opportunity to work with one of the best in the industry!

If you're interested in this opportunity, submit your CV as soon as possible. Interviews will be arranged ASAP!

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:roberthalf.com/gb/en/privacy-notice

Security alert:scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:roberthalf.com/gb/en/how-spot-recruitment-scams-and-protect-yourself

dG9ueS5rb3lyYXR0eS4wNTE3OS4xMjI3MUByaGkuYXBsaXRyYWsuY29t.gif

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.