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 & Engineering | Global Lifestyle Brand

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

Senior DataOps Engineer

Senior Data Infrastructure & MLOps Engineer

Senior Data Scientist

Senior Data Scientist

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.