Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior/Lead Data Engineer

Recursion Agentic AI
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Senior / Lead Data Scientist - AI Agents - Outside IR35

SC cleared - Data Analytics Lead

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Data Warehouse Solution Engineer

Who we Are

Recursion is an institutionally-backed startup currently in beta mode that is redefining business intelligence and automation with agentic AI. Our mission is to deliver non-obvious insights tailored specifically to each business and to automate complex processes beyond the capabilities of traditional RPA tools. By consolidating all data into a single source of truth and making it accessible in real-time via natural language conversations, we empower enterprises to make quick, confident decisions without delays in data processing or preparation. 


About the Role

The Data Engineer will design and maintain ETL pipelines for our clients, ensuring efficient ingestion, transformation, and storage of data. This person will play a key role in transforming various client’s data in the format most suitable for AI agents.


Key Responsibilities:

  • Design, develop, and maintain scalable ETL pipelines to ingest, transform, and store data tailored to individual client requirements.
  • Implement efficient data processing workflows for structured and unstructured data.
  • Develop processes for raw data ingestion, transformation, and storage.
  • Automate the generation of master data views on a regular basis.
  • Collaborate with data analysts and app development teams for seamless data flow.
  • Monitor and optimize data pipeline performance.


Qualifications:

  • A minimum of 5 years of experience in a professional data engineering role.
  • Expertise in ETL tools and frameworks (e.g., Apache Airflow, AWS Glue).
  • Proficiency in Python, SQL, and cloud services (AWS, GCP, or Azure).
  • Familiarity with data warehousing and transformation techniques.
  • Strong debugging and performance optimization skills.
  • Experience with real-time data processing frameworks.
  • Knowledge of machine learning pipelines and integration.
  • Familiarity with data visualization tools (e.g., Tableau, Looker, or Power BI).
  • Background in working with APIs and integrating external data sources.
  • Ownership: Track record of driving and delivering complete, high quality solutions to problems independently.
  • Experience mentoring junior team members.


How to Apply

Please submit your resume and a brief cover letter explaining your interest in the role and how your experience aligns with the responsibilities and qualifications.

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.

Jobs

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

Careers Education

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Jobs

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.