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

Apply Now

Senior Data Engineer

Tribal Tech - The Digital, Data & AI Specialists
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Data Science Team)

Senior Data Engineer - Machine Learning | Fraud & Abuse

Senior Data Engineer (Data Science Team)

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior Data Scientists/Data Engineers Needed (multiple Roles) - DV/SC Cleared

Senior Data Science Engineer - AD/ADAS

Senior Data Engineer - UK-based, Hybrid Working


My client, a leading SaaS company, is seeking an experienced Senior Data Engineer to join their innovative team. This role offers a unique opportunity to shape the future of data-driven decision-making within a rapidly growing organization.


Overview

As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining robust data pipelines and infrastructure. You'll work closely with cross-functional teams to deliver scalable solutions that drive business insights and product development.


Salary Range:£70,000 - £90,000 per annum (depending on experience)


Key Responsibilities

  • Develop and maintain ETL/ELT processes using cloud-based technologies (AWS, Azure, or GCP)
  • Design and implement data warehousing solutions using platforms like Snowflake or Azure Synapse Analytics
  • Create and optimize data models for efficient querying and analysis
  • Collaborate with data scientists and analysts to support machine learning initiatives
  • Implement data quality checks and governance processes
  • Contribute to the development of data visualization solutions using tools like Power BI or Tableau
  • Participate in code reviews and mentor junior team members


Required Skills and Experience

  • 5+ years of experience in data engineering roles
  • Strong proficiency in Python and SQL
  • Extensive experience with cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka
  • Familiarity with data warehousing concepts and implementation
  • Experience with CI/CD practices and DevOps principles
  • Knowledge of data modeling techniques and best practices
  • Excellent problem-solving and communication skills


Preferred Qualifications

  • Experience with Databricks or similar data processing platforms
  • Familiarity with streaming data architectures
  • Knowledge of data governance and compliance requirements
  • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)



This is an excellent opportunity for a talented Senior Data Engineer to make a significant impact in a dynamic, fast-paced environment. If you're passionate about leveraging cutting-edge technologies to solve complex data challenges, we want to hear from you.

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.

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.