Senior Data Engineer

developrec
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist & ML Engineer (f/m/d)

Senior Data Scientist - Private Equity Consulting

Senior Data Scientist - Private Equity Consulting

Senior Data Scientist

Senior Data Scientist SME & AI Architect

Senior Data Scientist SME & AI Architect

Senior Data Engineer - London, 2x Weekly - £65,000-£70,000


Our client is seeking a Senior Data Engineer to join their growing team in London. In this critical role, you will lead the design, development, and optimization of data pipelines and systems, with a strong focus on Snowflake and Databricks platforms. Your work will involve creating robust ETL processes using Python, enabling the organization to leverage its data more effectively. A background in AI/ML is highly advantageous, as the company is looking to integrate advanced analytics into their data operations.


What You'll Do

  • Design, build, and optimise data pipelines using Snowflake and Databricks to support the company’s data infrastructure.
  • Develop ETL processes in Python to automate the ingestion, transformation, and integration of data from various sources.
  • Collaborate with data scientists and analysts to implement AI/ML models into the data architecture, enhancing the company’s analytical capabilities.
  • Work with cross-functional teams to gather data requirements and translate them into scalable, efficient solutions.
  • Ensure data quality, reliability, and performance across all data systems.
  • Continuously assess and improve existing data processes to enhance efficiency and scalability.
  • Stay up to date with emerging technologies and best practices in data engineering, particularly in Snowflake, Databricks, and AI/ML.


About You

  • Extensive experience in data engineering with a strong focus on Snowflake and Databricks.
  • Proficient in Python, with a proven track record of developing and maintaining ETL processes.
  • Solid understanding of data architecture and best practices for building scalable, high-performance data systems.
  • Experience with AI/ML technologies and a passion for integrating advanced analytics into data operations.
  • Strong problem-solving skills and the ability to work independently in a fast-paced environment.
  • Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
  • A collaborative team player with experience working across multiple departments to achieve common goals.


Bonus Points If You Have

  • Hands-on experience with AI/ML frameworks and integrating machine learning models into data pipelines.
  • Familiarity with additional cloud data platforms or tools.
  • Experience in a senior or lead role, mentoring junior engineers and guiding technical projects.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.