National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior/Lead Data Engineer

Recursion Agentic AI
Liverpool
5 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Senior Data Scientist

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.

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.