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

Apply Now

Senior Data Engineer

Dublin
10 months 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

Location: Dublin
Salary Range: €(phone number removed)

Hybrid

Reperio are working with a well-established but fast-growing fintech company who are looking for a Senior data Engineer to join their ranks. You will design, implement, and maintain reliable and efficient ETL/ELT pipelines to support data integration across multiple sources. This role with also involve collaboration with Data Scientists, Analysts and key stakeholders to align technical solutions with business goals.

Requirements:

5+ years in data engineering roles, with a focus on building and maintaining large-scale data systems.
Proficiency in programming languages such as Python, Scala, or Java.
Advanced knowledge of SQL and database design principles.
Strong experience with AWS cloud services (Athena, s3, Redshift).
Hands-on experience with data orchestration tools (e.g., Airflow), and data storage systems (e.g., Snowflake, BigQuery).Nice-to-Have:

Familiarity with containerization tools like Docker or Kubernetes.
Knowledge of data visualization tools or frameworks e.g. Power BI, Tableau, Looker.
Experience working in Agile or Scrum methodologies.Benefits:

Pension
Health insurance
Flexible hybrid working
BonusIf this role as a Senior Data Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio.

Reperio Human Capital acts as an Employment Agency and an Employment Business

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.